General Conference Information - American Statistical Association

General Conference Information - American Statistical Association

General Conference Information

2009 JSM Program Committee ......................................1

Keynote Speakers ...........................................................5

Hotel/Hostel Listing .........................................................6

Convention Center Floor Plans .......................................7

Hotel Floor Plans ...........................................................10

What You Need to Know ...............................................11

Career Placement Service .............................................13

EXPO 2009 Floor Plan ...................................................14

Who’s Who at EXPO 2009 ............................................15

Continuing Education at a Glance ................................21

Technical Sessions ........................................................23

General Program

Thursday, July 30...........................................................33

Friday, July 31 ................................................................33

Saturday, August 1 ........................................................34

Sunday, August 2 ..........................................................35

Monday, August 3 ..........................................................65

Tuesday, August 4 .......................................................121

Wednesday, August 5 .................................................177

Thursday, August 6 ......................................................225

Association Contacts

ASA ..............................................................................282

ENAR ............................................................................282

WNAR ...........................................................................283

IMS ...............................................................................283

SSC ..............................................................................283

ICSA .............................................................................284

IISA ...............................................................................284

Indexes

Index of Participants ....................................................250

Index of Advertisers .....................................................281

The 20th Annual

GERTRUDE COX SCHOLARSHIP RACE

5k Race and 2.5k Fun Run/Walk at JSM 2009, Washington, DC

The Caucus for Women in Statistics, in conjunction with the ASA, presents the 20th annual Gertrude Cox Scholarship Race at the Joint

Statistical Meetings 2009 in Washington, DC. All proceeds will benefit the Gertrude M. Cox Scholarship in Statistics. This year, the race will be sponsored by RTI International.

The Race: Competitive 5k race and a 2.5k fun run/walk, running concurrently

When:

Tuesday, August 4, time to be announced (to start and finish before 8:30 a.m.)

Where:

Location and logistical information will be posted at The Caucus for Women in Statistics web site as it becomes available (www.caucusforwomeninstatistics.com) and at The Caucus for Women in Statistics hospitality table at the convention center during JSM 2009

How Much:

The entry fee is $30.00

Registration Those interested in participating are encouraged to register early by mail, but

Procedure: may also register during JSM at the hospitality table for the Caucus for Women in Statistics at the Convention Center, near the registration area. All participants must sign a registration form and waiver. T-shirts for all pre-registered runners will be distributed at the hospitality table.

REGISTRATION FORM

(each participant must complete and sign)

____________________________________________________________________________________________________________

Name

____________________________________________________________________________________________________________

Address City

____________________________________________________________________________________________________________

State/Province ZIP/Postal Code Phone

Required for placement and timing in the 5k race:

SEX:

M

F

Age ______

EVENT:

5 k Race

2.5 k Fun Run/Walk

T-SHIRT SIZE:

S

M

L

XL

THE FINE PRINT: I understand that running a road race is a potentially hazardous activity. I will not enter and run unless I am medically able and properly trained. I agree to abide by any decision of a race official relative to my ability to complete the run safely. I assume all risks associated with running in this event, including, but not limited to, falls; contact with other participants; and effects of weather, traffic, and course conditions. All such risks are known and appreciated by me. Having read this waiver, knowing these facts, and in consideration of your accepting my entry, I, for myself and anyone entitled to act on my behalf, waive and release the race directors, the race committee, and all sponsors from all claims of liabilities of any kind arising out of my participation in this event, even though such liability may arise as a result of negligence or carelessness on the part of the persons named in this waiver.

___________________________________________________________________________________________________________

Signature Date

___________________________________________________________________________________________________________

Parent or guardian (if under 18)

Make check payable to

The Gertrude Cox

Scholarship Fund and mail with registration to:

Anna Nevius, Treasurer

7732 Rydal Terrace

Rockville, MD 20855-2057

We regret to inform that we will not be able to accept registrations online this year. For questions, contact:

Marcia A. Ciol ([email protected]) or

Anna Nevius ([email protected])

2009 JSM Program

Chair, ASA

Wendy L. Martinez

U.S. Department of Defense

International Biometric

Society (ENAR)

Lloyd Edwards

The University of

North Carolina

International Biometric

Society (WNAR)

Daniel L. Gillen

University of California, Irvine

Institute of Mathematical

Statistics (Invited)

Michael Kosorok

The University of North

Carolina at Chapel Hill

Institute of Mathematical

Statistics (Invited)

Xiaotong Shen

University of Minnesota

Institute of Mathematical

Statistics (Contributed)

Elizaveta Levina

University of Michigan

Statistical Society of Canada

(SSC)

Peter X. Song

University of Waterloo

International Chinese

Statistical Association

Xuming He

University of Illinois at

Urbana-Champaign

General Methodology, ASA

Anna B. Nevius

U.S. Food and Drug

Administration

General Methodology, ASA

Mayetri Gupta

Boston University School of Public Health

Committee on Committees,

ASA

Patrick Cantwell

U.S. Census Bureau

Biometrics Section, ASA

Wensheng Guo

University of Pennsylvania

Biopharmaceutical Section,

ASA

Matilde Sanchez

Arena Pharmaceuticals, Inc.

Business & Economic

Statistics Section, ASA

Barbara Rossi

Duke University

Section on Statistics in

Defense and National

Security, ASA

Myron J. Katzoff

National Center for

Health Statistics

Section on Statistical

Graphics, ASA

Steven N. MacEachern

The Ohio State University

Section on Health Policy

Statistics, ASA

Mary E. Landrum

Harvard Medical School

International Indian

Statistical Association

Bhramar Mukherjee

University of Michigan

Invited and

Contributed Posters

Lara Schmidt

RAND Corporation

Statistical Computing

Section, ASA

Robert McCulloch

The University of

Texas at Austin

Section on Statistics in

Marketing, ASA

Michael Braun

MIT Sloan School of

Management

Section on Nonparametric

Statistics, ASA

Simon Sheather

Texas A&M University

Section on Physical &

Engineering Sciences, ASA

Jeffery J. Luner

Boeing

Section on Quality &

Productivity, ASA

Donald W. McCormack Jr.

SAS Institute, Inc.

Section on Risk Analysis,

ASA

Bertrand S. Clarke

The University of

British Columbia

Social Statistics Section, ASA

Kathleen S. O’Connor

Centers for Disease Control and Prevention

Council of Chapters, ASA

Gary Gadbury

Kansas State University

Section on Bayesian

Statistics, ASA

Mike Daniels

University of Florida

Section on Statistical

Consulting, ASA

Stephan Ogenstad

Statogen Consulting

Section on Statistical

Education, ASA

Peter Westfall

Texas Tech University

Section on Statistics and the

Environment, ASA

Petrutza C. Caragea

Iowa State University

Section on Epidemiology,

ASA

Amy H. Herring

The University of North

Carolina at Chapel Hill

Section on Government

Statistics, ASA

Sunghee Lee

University of California,

Los Angeles

Local Area Committee

Darryl V. Creel, Chair

RTI International

Nancy Clusen

Mathematica Policy Research

Christopher Cummiskey

RTI International

Christopher Moriarty

National Center for Health Statistics

Lily Trofimovich

General Dynamics Information Technology

Y. Michael Yang

ICF International

Advisory Committee on

Continuing Education

Xiaoming Sheng, Chair

University of Utah

Katherine T. Halvorsen

Smith College

Joseph M. Hilbe

Arizona State University

Gordon J. Johnston

SAS Institute, Inc.

Young K. Kim

DP Clinical

Eileen C. King

Procter & Gamble

Ronald E. McRoberts

U.S. Forest Service, North Central

Research Station

Scott D. Patterson

Wyeth

Charles Yun Tan

Merck & Co., Inc.

ASA Continuing Education

Rick Peterson

Education Programs Associate

ASA Meetings

Kathleen Wert

Director of Meetings

Donna-Renee Arrington

Meetings Planner

Fay Gallagher

Meetings Planner

American Statistical Association

732 North Washington Street

Alexandria, VA 22314-1943

[email protected] www.amstat.org

Section on Statistics in

Sports, ASA

Matthew S. Johnson

Baruch College

Section on Survey Research

Methods, ASA

Elaine Zanutto

National Analysts Worldwide

Research and Consulting

Section on Teaching of

Statistics in the Health

Sciences, ASA

Carol Bigelow

University of Massachusetts

Seeking a

CAREER

in

STATISTICS?

Washington, DC

August 1–6

Are you nearing graduation and wondering about entry-level jobs?

Are you an experienced statistics professional interested in career information?

Register for the JSM Career Placement Service

What can the Career Placement Service do for you?

Each year, more than 120 companies, universities, recruiters, and government agencies search for applicants using the JSM Career Placement Service. The JSM Career Placement Service provides the best opportunity for qualified applicants to meet employers, establish valuable contacts, and learn about organizations employing statisticians.

Career Placement Service Benefits

Applicant reading area—for applicants to review

complete job descriptions and contact information for all registered employers.

Computerized message center—allows

applicants and employers to communicate throughout the meeting.

Visibility to employers—applicants who register by

July 16, 2009, will have their information and résumés included in the advance applicant online database, available to employers prior to the meeting. Employers often contact applicants in the database prior to JSM to schedule interviews.

Online access to job postings—included with ALL

Career Placement Service registrations.

www.amstat.org/meetings/jsm/2009/placement

Organizations Represented at Recent JSM Career Placement Services

Capital One • FDA • DuPont • Eli Lilly and Company • ESPN Media

Google • Novartis • West Point

Seeking a

CAREER

in

STATISTICS?

Rebecca M. Blank

President’s Invited Address

“Measurement Matters: Why Good

Statistics Are Important to Understanding the Well-Being of American Families”

Monday, August 3, 4:00 p.m.

Nanny Wermuth

IMS Presidential Address

“On the Development of Insight: Some

Examples in the Statistical Sciences”

Monday, August 3, 8:00 p.m.

J. Stuart Hunter

Deming Lecture

“Deming Today”

Tuesday, August 4, 4:00 p.m.

Jerome H. Friedman

Wald Lecture Series

“Fast Sparse Regression and Classification”

Tuesday, August 4, 4:00 p.m.

“Decision Trees and Gradient Boosting”

Wednesday, August 5, 10:30 a.m.

“Predictive Learning via Rule Ensembles”

Thursday, August 6, 10:30 a.m.

Sally C. Morton

ASA Presidential Address

“Statistics: From Evidence to Policy”

Tuesday, August 4, 8:00 p.m.

Noel A.C. Cressie

COPSS Fisher Lecture

“When, Where, and Then Why”

Wednesday, August 5, 4:00 p.m.

Peter Bühlmann

IMS Medallion Lecture I

“Statistics for High-Dimensional Data:

Toward More Reliable Results”

Sunday, August 2, 2:00 p.m.

Aad van der Vaart

Le Cam Lecture

“Some Frequentist Results on Posterior

Distributions on Infinite-Dimensional

Parameter Spaces”

Sunday, August 2, 4:00 p.m.

George Casella

IMS Medallion Lecture II

“From R. A. Fisher to Microarrays: Why

70-Year-Old Theory Is Relevant Today”

Monday, August 3, 8:30 a.m.

Tony Cai

IMS Medallion Lecture III

“Robust and Adaptive Methods for

Nonparametric Function Estimation”

Monday, August 3, 10:30 a.m.

Alistair Sinclair

IMS Medallion Lecture IV

“Markov Chain Monte Carlo in Theoretical

Computer Science”

Tuesday, August 4, 8:30 a.m.

Gábor Lugosi

IMS Medallion Lecture V

“Combinatorial Problems in Randomized

Sequential Prediction”

Wednesday, August 5, 8:30 a.m.

Gareth Roberts

IMS Medallion Lecture VI

“Auxiliary Variables, Perfect Simulation, and Importance Sampling for the Statistical

Analysis of Stochastic Processes”

Wednesday, August 5, 2:00 p.m.

Washington, DC 5

6 JSM 2009

Headquarter Hotel

1

Renaissance Washington, DC, Hotel

(Headquarter Hotel)

999 Ninth Street, NW

Other Conference Hotels

2 Embassy Suites DC

900 Tenth Street, NW

3 Hampton Inn DC Convention Center

901 Sixth Street, NW

4 Four Points by Sheraton

1201 K Street, NW

5 Grand Hyatt Washington

1000 H Street, NW

6 Red Roof Inn-Downtown DC

500 H Street, NW

7 Marriott at Metro Center

775 Twelfth Street, NW

8 Hotel Monaco Washington, DC

700 F Street, NW

9 Hilton Garden Inn Washington, DC,

Downtown

815 Fourteenth Street, NW

10 Hostelling International-Washington, DC

1009 Eleventh Street, NW

Stairs

Handicap Access

Restrooms

Concession

Escalator

Market- place

Registration

Up to L Street Bridge

E

S

N

W

Washington, DC 7

Stairs

Handicap Access

Restrooms

Concession

Escalator

2nd Floor

Overlook

East

Mount Vernon

Place, Below

Open to Below

2nd Floor

Overlook

West

Level 2

Room

205

Room

201

Room

202A

Room

202B

L Street,

Below

Room

207B

Room

207A

Room

206

L Street

Bridge

L Street,

Below

Room

210

Hall D - Career Placement & Exhibit Hall

S

E

N

8 JSM 2009

W

3rd Floor

East Ear

Mount Vernon

Place, Below

Roundtables with

Coffee & Lunch

Ballroom South Prefunction

Open to Below

Level 3

Room

301

Room

302

Room

303

Ballroom B Ballroom A

Open to

Below

3rd Floor

West Ear

Room

304

Room

305

Room

306

Stairs

Handicap Access

Restrooms

Concession

Escalator

Registration

East Registration

Committee and

Society Tables

1

ASA Council of Sections

2

ASA Council of Chapters

3

Caucus for Women in Statistics

4

Gay and Lesbian

Concerns in Statistics

5

Federal Committee on

Statistical Methodology

(FCSM)

6

Christian Statisticians

7

International Indian

Statistical Association

(IISA)

8

International Chinese

Statistical Association

(ICSA)

9

International Statistical

Institute (ISI)

10 Statistical Education

Committee and

Society Tables

1

Luggage

Storage

(Wed. p.m.

ASA Council of Sections

Marketplace

2

ASA Council of Chapters

3

Caucus for Women in Statistics

4

Gay and Lesbian

Concerns in Statistics

5

Federal Committee on

Statistical Methodology

(FCSM)

6

Christian Statisticians

7

International Indian

Statistical Association

(IISA)

8

International Chinese

Statistical Association

(ICSA)

9

International Statistical

Institute (ISI)

Cyber

Center

Postings

1 2 3 4 5

Committee T ables

8

9

6

7

10

Washington, DC 9

Stairs

Handicap Access

Restrooms

Concession

Escalator

Renaissance

Washington, DC, Hotel

Meeting Room Level

17

11

10

12

13

14

15

9

8

Service Area

7

5

6

4

3

2

1

16

Ballroom Level

C

A

B

Congressional Hall

Grand

Ballroom

South

Central

North

Renaissance

Ballroom

East

West B

West A

Renaissance

Office

10 JSM 2009

CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Emergency Telephone Messages

In case of emergency, messages may be left during registration hours by calling (202) 249-4051. These will be posted at the Cyber

Center, located in the registration area.

Convention Housing

Renaissance Washington, DC, Hotel (202) 898-9000

Embassy Suites DC (202) 739-2001

Hampton Inn DC Convention Center (202) 842-2500

Four Points by Sheraton (202) 289-7600

Grand Hyatt Washington (202) 582-1234

Red Roof Inn-Downtown DC (202) 289-5959

Marriott at Metro Center (202) 737-2200

Hotel Monaco Washington, DC (202) 628-7177

Hilton Garden Inn Washington, DC,

Downtown

(202) 783-7800

Hostelling International-Washington, DC (202) 737-2333

Recycling

Please use the paper, plastic, and aluminum trash containers located throughout the Walter E. Washington Convention Center. Also, participating in the towel and linen programs at area hotels makes a significant difference in the amount of energy and water used.

You also can change the option from print to not print or use the paper recycling containers available at the Cyber Center. Finally, place the JSM badges and badge holders in one of the designated bins in the registration area.

JSM Proceedings

Eligibility guidelines and author instructions for JSM 2009 presenters are available at www.amstat.org/meetings/jsm/2009/

index.cfm?fuseaction=proceedings.

Assistance for Those with Disabilities

Please contact a staff member at the Special Assistance Desk in the registration area of the Walter E. Washington Convention

Center if you have a disability that may impede your participation.

Child Care

Services may be organized through Family and Child Care, Inc.

With trained and bonded child-care providers, Family and Child

Care, Inc., has served the Washington, DC, area for 32 years. For more information, call (202) 723-2051.

The Caucus for Women in Statistics will provide a subsidy toward four hours of babysitting per family for up to 10 families. If you are interested, contact Marcia Ciol at

[email protected].

Policies

Electronic Devices

All cell phones, pagers, and other electronic devices should be turned off before attending any session or meeting.

JSM 2010

The 2010 Joint Statistical Meetings will be held in Vancouver,

British Columbia, Canada, from July 31 to August 5 at the

Vancouver Convention Center. Check out the details at Booth #606 in the exhibit hall.

Plan Ahead! Passports now are required for travel between the

United States and Canada. Passport processing times are unpredictable, so get your passport now.

Membership

Information about the ASA, ENAR, WNAR, IMS, SSC, ICSA, and IISA is available at the society booths in the registration area and exhibit hall. Each society provides a variety of publications and activities to anyone interested in applied and or theoretical statistics, and student membership is offered at substantially reduced rates.

Hours of Operation

Registration and ASA Membership/

Special Assistance/Press Desk

CC – East Registration

JSM registration includes the Program Book and Abstract CD; access to the exhibit hall; and admission to the Opening Mixer,

Student Mixer (students only), and Informal Dance Party.

Smoking

Smoking is not permitted at any JSM function, unless the event is held outside.

Photographs and Videotaping

Taking photographs or using video equipment during any JSM session or event is prohibited.

Saturday 7:30 a.m. – 6:00 p.m.

Sunday 7:30 a.m. – 8:30 p.m.

Monday 7:30 a.m. – 6:00 p.m.

Tuesday – Wednesday 7:30 a.m. – 4:30 p.m.

Thursday 7:30 a.m. – 10:30 a.m.

Washington, DC 11

CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Speaker Management Room

CC-154A

Speakers are asked to check in 24 hours prior to their presentations to upload their materials to the speaker management system or confirm their materials were uploaded correctly. Session chairs also should check in to confirm all speakers have uploaded their materials.

Saturday 10:00 a.m. – 6:00 p.m.

Sunday 9:00 a.m. – 7:00 p.m.

Monday – Wednesday 7:00 a.m. – 6:00 p.m.

Thursday 7:00 a.m. – 12:00 p.m.

Career Placement Service

CC – Hall D

Saturday

9:00 a.m. – 5:00 p.m. (job posting and résumé submission only)

Sunday 1:00 p.m. – 6:00 p.m.

Monday – Tuesday 8:00 a.m. – 6:00 p.m.

Wednesday

8:00 a.m. – 2:30 p.m. (onsite registration closes at noon)

EXPO 2009

CC – Hall D

Visit publishers, software companies, and recruiters. See state-ofthe-art products designed for the statistical community.

Sunday 1:00 p.m. – 6:00 p.m.

Monday – Tuesday 9:00 a.m. – 6:00 p.m.

Wednesday 9:00 a.m. – 2:30 p.m.

Introductory Overview Lectures

Sunday, August 2, 4:00 p.m. – 5:50 p.m.

CC- 207B

Session 40 – Largely About Largeness: Models and

Views for High-Dimensional Data

Monday, August 3, 8:30 a.m. – 10:20 a.m.

CC-202A

Session 85 – Spatial Data Analysis

Tuesday, August 4, 8:30 a.m. – 10:20 a.m.

CC-202A

Session 241 – Designing Longitudinal Studies

Wednesday, August 5, 2:00 p.m. – 3:50 p.m.

CC-207A

Session 491 – Causal Inference in Statistics

Thursday, August 6, 8:30 a.m. – 10:20 a.m.

CC-207A

Session 534 – Statistical Learning and Data Mining

Late-Breaking Sessions

Monday, August 3, 2:00 p.m. – 3:50 p.m.

CC-202A

Session 187 – Late-Breaking Session I:

Policymakers to Get Full Data Coverage of the

Nation's Service Sector

Wednesday, August 5, 8:30 a.m. – 10:20 a.m.

CC-202A

Session 392 – Late-Breaking Session II: The Role of Statistics in the Nation's Financial Recovery and

Stability

Wednesday, August 5, 10:30 a.m. – 12:20 p.m.

CC-207A

Session 441 – Late-Breaking Session III: Statistics in the New Administration

Cyber Center

CC – East Registration

There are 20 terminals with Internet access available for your emailing needs, as well as three printers. Also, the Walter E.

Washington Convention Center has Wi-Fi throughout the building for $15.95 per day. There will be no internal message center this year, so make sure to take advantage of these Internet options.

Saturday 7:30 a.m. – 6:00 p.m.

Sunday 7:30 a.m. – 10:30 p.m.

Monday – Tuesday 7:00 a.m. – 10:00 p.m.

Wednesday 7:00 a.m. – 8:00 p.m.

Thursday 7:00 a.m. – 10:30 a.m.

Washington Visitors Information Center

CC – Main Lobby

Operated by the Walter E. Washington Convention Bureau, this center provides extensive information and referrals for restaurants, tours, and sightseeing. You also can pick up current maps and travel information.

Sunday 9:00 a.m. – 5:00 p.m.

Monday – Thursday 8:00 a.m. – 6:00 p.m.

ASA Marketplace

CC – A Lobby

The ASA Marketplace is your store for the official JSM 2009

T-shirt and other JSM and ASA souvenirs.

Saturday 12:00 p.m. – 5:30 p.m.

Sunday – Wednesday 9:00 a.m. – 5:30 p.m.

Thursday 7:30 a.m. – 10:00 a.m.

12 JSM 2009

Executive Suite

Employers

Abbott Laboratories

Amgen, Inc

Bank of America

Capital One

Clinical Trials & Surveys Corp.

(C-TASC)

Eli Lilly and Company

FDA

FDA/Center for Devices and

Radiological Health

FDA/Office of Biostatistics

Merck & Co., Inc.

National Security Agency

NORC at the University of

Chicago

Novartis Oncology

SAS Institute Inc.

Registered

Employers

Axio Research, LLC

Baylor Health Care System

Bell Labs, Alcatel-Lucent

Case Western Reserve

University

Energy Information Agency

(EIA)

ESPN, Inc.

Exponent

FDA/Center for Veterinary

Medicine

IBM T. J. Watson Research

Center

Johnson & Johnson

Lawrence Livermore National

Laboratory

Monsanto Company

School of Public Health,

University of Alberta

Smith Hanley Associates, LLC

Statistics of Income/Internal

Revenue Service

Career Placement Service

Employer Area

Hall D

Applicant Area

Applicant

Message Center

Employer

Message Center

Applicant

Waiting

Area

Takeda Pharmaceuticals

The Cambridge Group LTD

The EMMES Corporation

University of Manitoba

U.S. Census Bureau

U.S. Consumer Product Safety

Commission

VA Center for Health Equity and

Promotion

Vanderbilt University Medical

Center Department of

Biostatistics

W.L. Gore & Associates, Inc.

Westat

Office

Employer

Info

Applicant

Info

Career

Placement

Entrance

Washington, DC 13

Stairs

Handicap Access

Restrooms

Concession

Escalator

Popcorn

Hall D

Exhibitor

Check In

Entrance

14 JSM 2009

314

315

316

317

319

320

321

400, 402

401

403

Booth Exhibitor

100

101, 103, 200,

202

Q

2

Business Intelligence, Inc.

Springer

102

105

Office of United Nations Employment Information

& Assistance/U.S. Department of State

TIBCO Spotfire

212

213

214

108

109

113

201, 300

203

IRS - Statistics of Income Division

Centers for Disease Control and Prevention/

ATS&R

Tech Observer

SPSS Inc.

The Berkeley Electronic Press

204, 206

205, 207, 209,

304, 306, 308

208

REvolution Computing

CRC Press-Taylor & Francis Group

MedFocus LLC

National Center for Health Statistics

MacKichan Software

Johnson & Johnson

215

220

Bureau of Labor Statistics

Google Inc.

221

301, 303, 305,

307

302

Placemart Personnel Service

John Wiley & Sons, Inc.

Oxford University Press

309 SAGE Publications

312 StatPoint Technologies, Inc.

313 Salford Systems

Systat Software, Inc.

Statistical Solutions

National Institutes of Health, National

Cancer Institute

Minnesota Population Center

American Educational Research Association

Substance Abuse and Mental Health Data Archive

(SAMHDA)

The Cambridge Group Ltd.

StatSoft, Inc.

W.H. Freeman & Company

Eli Lilly and Company

Booth

404, 406

Exhibitor

Cambridge University Press

405 McGraw-Hill/Irwin

407

408

409

Hawkes Learning Systems

Smith Hanley

NCSS

412

413

414

415

416

Kforce Clinical Research

Capital One

U.S. Department of Education/Institute of

Education Sciences

Biostat, Inc.

American Association for the Advancement of

Science (AAAS)

Energy Information Administration (EIA) 417

418

419, 421

420

500, 502

The Pennsylvania State University

National Security Agency

The National Academies

JMP, a business unit of SAS

501, 503, 505 SAS

504, 506, 508 SAS Publishing

507, 509 SAS Education

512, 514 Minitab Inc.

604

605

606

607

608

513, 612

515, 517

RTI International

Cytel Inc.

516, 518, 520 StataCorp

519 statistics.com

521

600, 602

601

603

Abt SRBI

American Statistical Association

Institute of Mathematical Statistics

Statistical Society of Canada

Publishers’ Book Display

ASA-SIAM

JSM 2010 Vancouver

SIAM

U.S. Census Bureau

609 USDA, National Agricultural Statistics Service

614, 616

617, 619

618, 620

621

Brooks/Cole Cengage Learning

Pearson

ELSEVIER

National Center for Health Statistics

Washington, DC 15

Abt SRBI (521)

Silver Spring, MD

Abt SRBI is one of the nation’s premier full-service research and strategy organizations. Noted for high-quality analytical capabilities with in-house resources for telephone, mail, Internet, and IVR surveys, we ensure timely and actionable research for strategy and decisionmaking. We have 450 stations equipped for computerassisted telephone interviewing (CATI).

ASA-SIAM (605)

Alexandria, VA

The ASA-SIAM Series on Statistics and Applied Probability is published jointly by the ASA and the Society for Industrial and Applied

Mathematics. It provides reasonably priced, high-quality books about topics in statistics and applied probability. Series titles are discounted 20–30% during JSM.

Brooks/Cole Cengage Learning (614, 616)

Belmont, CA

Cengage Learning delivers highly customized learning solutions for colleges, universities, professors, students, reference centers, government agencies, corporations, and professionals around the world. These solutions are delivered through specialized content, applications, and services that foster academic excellence and professional development and provide measurable results.

Bureau of Labor Statistics (215)

Washington, DC

The Bureau of Labor Statistics (BLS) is the principal fact-finding agency for the federal government in the broad field of labor economics and statistics. The BLS is an independent national statistical agency that collects, processes, analyzes, and disseminates essential statistical data.

American Association for the Advancement of Science (416)

Washington, DC

Spend a year in Washington, DC, as an AAAS Science & Technology

Policy Fellow. Fellows contribute to federal policymaking.

Professionals of all career stages work in congressional offices and federal agencies. Applicants must hold a PhD or a master’s degree in engineering (three years of post-MS experience). Visit

http://fellowships.aaas.org.

CRC Press-Taylor & Francis Group (205, 207, 209, 304, 306,

308)

Boca Raton, FL

Chapman & Hall/CRC and Taylor & Francis are premier publishers of books and journals in all areas of statistics. Please stop by our booth to pick up a sample copy of a journal or browse our latest books at discounts of up to 25%.

American Educational Research Association (319)

Washington, DC

As the most prominent international professional organization in the realm of education research, AERA’s primary goal is advancing education research and its practical application. Stop by to learn more; meet with staff; and browse the AERA journals, books, and other valuable resources.

The Cambridge Group Ltd. (321)

Westport, CT

The Cambridge Group Ltd. focuses on careers in biostatistics, clinical data management, clinical systems, SAS programming, regulatory affairs, and more. Opportunities range from entry through executive levels, both permanent and contract, in the pharmaceutical and biotechnology industries.

American Statistical Association (600, 602)

Alexandria, VA

Since 1839, the ASA has been the world’s leading professional association for statisticians. The ASA serves as a forum for sharing ideas, experiences, innovations, and accomplishments. Members are involved in such areas as medicine, computer applications, quality management, analytical research, setting standards for statistics, and promoting statistical education.

The Berkeley Electronic Press (203)

Berkeley, CA

Founded by professors, the Berkeley Electronic Press represents the new standard in scholarly publishing. Our journals feature fast and high-quality peer review, an innovative guest access policy, and prices libraries can easily afford. Our collection of journals in statistics includes Statistical Applications in Genetics and Molecular

Biology, one of the premier journals in the field. www.bepress.

com/Journals

Cambridge University Press (404, 406)

New York, NY

Cambridge University Press is one of the world’s leading publishers of scholarly books and journals in the areas of H&SS.

Internationally recognized for the quality and excellence of our products, we publish more than 2,000 titles and 215 journals every year.

Capital One (413)

Richmond, VA

Capital One Financial Corporation (www.capitalone.com) is a

Fortune 500 company headquartered in McLean, Virginia, with approximately 1,000 locations in the United States. A diversified financial services company, Capital One offers credit cards, auto loans, banking services, personal loans, small business services, and commercial banking products.

Biostat, Inc. (415)

Englewood, NJ

Biostat distributes the world’s best-selling meta-analysis program,

Comprehensive Meta-Analysis. Stop by for a free trial CD, free papers on meta-analysis, and information about our Wednesday morning Computer Technology Workshop.

Centers for Disease Control and Prevention/ATS&R (109)

Atlanta, GA

The Centers for Disease Control and Prevention is one of 11 operating divisions of the Department of Health and Human Services, which is the principal agency in the United States government for protecting the health and safety of all Americans and providing essential human services.

Cytel Inc. (515, 517)

Cambridge, MA

New for JSM 2009, Cytel introduces Siz, the affordable fixed sample size clinical trial design software. The “Introduction to

Siz” Computer Technology Workshop on Wednesday afternoon will provide an in-depth look at the first trial software combining design, simulation, and analysis. The Cytel booth will feature new designs and simulations for East Adapt. www.cytel.com

16 JSM 2009

Eli Lilly and Company (403)

Indianapolis, IN

Eli Lilly and Company is a leading, innovation-driven corporation committed to developing a growing portfolio of best-in-class and first-in-class pharmaceutical products that help people live longer, healthier, more active lives. We are committed to providing answers that matter—through medicine and information—for the world’s most urgent medical needs.

ELSEVIER (618, 620)

New York, NY

Elsevier delivers world-class content to statisticians and mathematicians, from journals and textbooks to online solutions. Come browse our new and bestselling books, cutting-edge journals, and online solutions in all areas of statistics. Conference discounts apply, and sample journals and textbook examination copies are available.

Energy Information Administration (417)

Washington, DC

The Energy Information Administration (EIA) is the independent statistical agency of the U.S. Department of Energy. We provide policy-neutral data, forecasts, and analyses to promote sound policymaking, efficient markets, and public understanding regarding energy and its interaction with the economy and environment.

Google Inc. (220)

Mountain View, CA

Google’s innovative search technologies connect millions of people with information every day. Founded in 1998 by Stanford PhD students Larry Page and Sergey Brin, Google is a top web property in all major global markets. Google’s targeted advertising program provides businesses of all sizes with measurable results, while enhancing the overall web experience for users. Google is headquartered in Silicon Valley, with offices throughout the Americas,

Europe, and Asia. For more information, visit www.google.com.

Hawkes Learning Systems (407)

Charleston, SC

Hawkes Learning Systems (HLS) is celebrating 30 years as a company specializing in mathematics software. HLS promotes grade improvement and motivates students by engaging them in the learning process. Students learn more effectively through tutorials, unlimited practice, mastery-based homework, and error-specific feedback.

IRS - Statistics of Income Division (108)

Washington, DC

The Statistics of Income (SOI) Division produces data compiled from tax and information returns filed with the Internal Revenue

Service. SOI data include financial information on individuals, businesses, tax-exempt organizations, and more. Data are available through publications, electronic databases, Tax Stats (www.irs.

gov/taxstats), and SOI’s Statistical Information Services –

(202) 874-0410.

U.S. Department of Education/Institute of Education Sciences

(414)

Washington, DC

As the research arm of the U.S. Department of Education, IES’s mission is to provide rigorous evidence on which to ground education practice and policy. IES conducts research and evaluation activities, collects data on all aspects of education, and offers funding/training opportunities. ies.ed.gov

Institute of Mathematical Statistics (601)

Beachwood, OH

The Institute of Mathematical Statistics (IMS) is an international professional and scholarly society devoted to the development, dissemination, and application of statistics and probability. The institute currently has about 4,500 members in all parts of the world.

JMP, a business unit of SAS (500, 502)

Cary, NC

JMP is the SAS software designed for dynamic data visualization on the desktop. Interactive, comprehensive, and highly visual,

JMP enables you to interact with your data to explore relationships, see hidden trends, dig into areas that interest you, and move in new directions.

JSM 2010 Vancouver (606)

Vancouver, BC, Canada

Visit the Vancouver booth to plan your JSM 2010 trip. Vancouver is an unforgettable convention and vacation destination, where you can enjoy friends and family. Vancouver offers possible pre- and post-visits to Whistler, Victoria, and the Canadian Rockies, as well as a Vancouver-Alaskan Cruise.

John Wiley & Sons, Inc. (301, 303, 305, 307)

Hoboken, NJ

Founded in 1807, John Wiley & Sons, Inc., is an independent, global publisher of print and electronic products. Wiley-Blackwell is the international scientific, technical, medical, and scholarly publishing arm of John Wiley & Sons, with strengths in every major academic and professional field.

Johnson & Johnson (214)

New Brunswick, NJ

Johnson & Johnson, through its operating companies, is the world’s most comprehensive and broadly based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices and diagnostics markets. Johnson & Johnson operating companies employ approximately 113,000 men and women.

Kforce Clinical Research (412)

Tampa, FL

Kforce helps build scalable outsourcing solutions that enable organizations to quickly expand or contract operations, keeping pace with their pipeline’s fluctuating demand. We achieve gains for customers through functional outsourcing, permanent placement, and contingent staffing in the areas of site and study management, monitoring, drug safety, and clinical data services.

MacKichan Software (213)

Poulsbo, WA

Scientific WorkPlace and Scientific Word make writing, sharing, and doing mathematics easier. A click of a button allows you to typeset your documents in LaTeX. The integrated computer algebra system lets you solve and plot equations; animate 2D and 3D plots; rotate, move, and fly through 3D plots; and more.

McGraw-Hill/Irwin (405)

New York, NY

McGraw-Hill/Irwin is the premier provider of textbooks and technology resources across the business and economics disciplines, with specialization in business statistics, business math, and operations management. We publish instructional materials targeted to higher education and professional markets, delivering a wide variety of student and instructor resources.

Washington, DC 17

MedFocus LLC (208)

Chicago, IL

MedFocus offers clinical research contract outsourcing and staffing specifically to the pharmaceutical, biotechnology, and medical device industries. MedFocus allows you to maintain consistency with high-quality consulting while managing variability in clinical work demand without headcount issues. For more information, visit www.medfocus.com.

Minitab Inc. (512, 514)

State College, PA

Minitab 15 is the leading software for statistics education worldwide. It is accurate, reliable, and easy to use, with powerful graphics abilities that let you create stunning and informative graphs.

Minitab integrates into curriculums seamlessly and affordably.

Minitab is used at more than 4,000 colleges and universities.

Free trial. www.minitab.com

Minnesota Population Center (317)

Minneapolis, MN

The Minnesota Population Center (MPC) is an interdisciplinary research and training center at the University of Minnesota. MPC is the world’s leading developer of harmonized U.S. and international census and survey data. More than 25,000 researchers worldwide have registered to use MPC-produced data sets, which are freely available at www.ipums.org.

NCSS (409)

Kaysville, UT

NCSS specializes in statistical data analysis software (NCSS) and sample size/power analysis software (PASS). NCSS and PASS are comprehensive, easy to use, affordable, and fully compatible with

Windows Vista. PASS 2008 is now available with power analysis of more than 150 statistical procedures.

National Center for Health Statistics (212)

Hyattsville, MD

The NCHS exhibit will showcase the various NCHS programmatic areas with an emphasis on statistical research and methodology.

The exhibit will allow attendees to view and acquire a host of publications, electronic products, and other promotional products.

National Center for Health Statistics (621)

Hyattsville, MD

The NCHS Research Data Center (RDC) is in the unique position of being able to provide secure access to the full range of health and vital statistics information collected by the National Center for

Health Statistics data systems, while continuing to protect the confidentiality of the respondents and records.

National Security Agency (419, 421)

Ft. Meade, MD

The National Security Agency is a federal government agency that provides foreign signals intelligence to decisionmakers and protects

U.S. national security information systems.

Office of United Nations Employment Information &

Assistance/U.S. Department of State (102)

Washington, DC

Our office encourages U.S. citizens who have information and professional qualifications in statistics, economics, finance, law, and other fields to compete for challenging positions in the United

Nations and other international organizations. We publish a biweekly list of such vacancies and offer advice to job-seekers.

Oxford University Press (302)

New York, NY

Oxford University Press is a leading publisher of books on statistics.

Visit us to see our latest titles, including Helden’s Statistics Applied

to BioInformatics, Thomas’ Statistical Methods in Environmental

Epidemiology, and Aitkin’s Statistical Modelling in R. Receive a

20% discount on all orders placed at the show.

Pearson (617, 619)

Upper Saddle River, NJ

Pearson, the global leader in education and education technology, is committed to providing quality content, assessment tools, and educational services for millions of students and their instructors.

Pearson continues to transform education and change the way students learn by offering innovative online resources and learning applications, including MyStatLab and StatCrunch.

The Pennsylvania State University (418)

University Park, PA

The Penn State World Campus 100% online master’s degree and graduate certificate programs available in applied statistics improve your research and data analysis expertise and refine and maximize your analytical talents. Study at times and locations convenient to your busy schedule, and have frequent interaction with your professors while never setting foot on campus.

Placemart Personnel Service (221)

Lanoka Harbor, NJ

Placemart Personnel Service specializes in nationwide executive search services in clinical drug and medical product R&D. For more than 40 years, we have been matching jobs and job candidates in biostatistics. Typical positions include directors, managers, project managers, group leaders, biostatisticians, data analysts, and statistical programmers. For details, visit www.placemart.com.

Publishers’ Book Display (604)

Alexandria, VA

Visit the publishers’ book display booth to review books and literature from publishers unable to attend JSM this year. Discounted order forms are available.

Q

2

Business Intelligence, Inc. (100)

Princeton, NJ

Q-Square Business Intelligence (Q

2

BI) is the most efficient and innovative global leader in providing high-quality service and reliable solutions to our health care and clinical research partners in drug safety and new drug development. Q

2

BI is a certified CDISC solutions provider. Quality work for a quality world.

REvolution Computing (204, 206)

New Haven, CT

REvolution Computing is the leading commercial provider of software and support for the statistical computing language known as “R.” REvolution R and REvolution R Enterprise enable statisticians, scientists, and others to create superior predictive models and derive meaning from large sets of mission-critical data in record time. Visit www.revolution-computing.com for more information.

18 JSM 2009

National Institutes of Health/National Cancer Institute (316)

Bethesda, MD

The National Institutes of Health (NIH) is the primary federal agency for conducting and supporting medical research. NIH scientists investigate prevention, causes, treatments, and cures for diseases. Composed of 27 institutes and centers, the NIH provides leadership and financial support to researchers in every state and throughout the world.

RTI International (513, 612)

Research Triangle Park, NC

Dedicated to improving the human condition, RTI International

(www.rti.org) provides research and technical expertise to governments and businesses around the world. We work in health and pharmaceuticals, education and training, surveys and statistics, advanced technology, international development, economic and social policy, energy and the environment, and laboratory and chemistry services.

SAGE Publications (309)

Thousand Oaks, CA

SAGE—an independent international publisher in the social sciences, technology, and medicine—provides journals, books, and electronic media of the highest caliber. Please stop by our booth or visit us at www.sagepub.com

SAS (501, 503, 505)

Cary, NC

SAS will exhibit its analytical software for statistics, data mining, econometrics, and statistical quality control. Please visit the SAS booth to learn more about SAS 9.2—including the latest in statistical graphics and new software for Bayesian analysis—and meet some of its R&D statisticians.

SAS Education (507, 509)

Cary, NC

SAS’ Global Academic Program group can help your university, college, or high school incorporate SAS into your curriculum with our programs, services, and events, many of which are offered free of charge. Our Global Certification group helps you put your SAS skills to the test and can add credibility to your résumé.

SAS Publishing (504, 506, 508)

Cary, NC

Visit to learn more about saving 20% on orders placed or mailed to us by August 28, new SAS documentation titles, new SAS Press titles, and SAS certification guides. SAS Publishing staff is available to answer questions and assist with your orders. Enjoy the conference!

SIAM (607)

Philadelphia, PA

In addition to the ASA-SIAM series, SIAM publishes a variety of other books of interest to JSM attendees. Enjoy 20–30% discounts during JSM. Complete a brief survey at the booth and receive a reusable grocery tote! For more information about the ASA-SIAM series and other SIAM books, visit www.siam.org/books.

SPSS Inc. (201, 300)

Chicago, IL

SPSS Inc. is a leading global provider of predictive analytics software and solutions. The company’s predictive analytics technology improves business processes by giving organizations consistent control over decisions made every day. Incorporating predictive analytics into their daily operations enables organizations to meet business goals.

StatPoint Technologies, Inc. (312)

Warrenton, VA

STATGRAPHICS Centurion XVI- Insight Through the Language of

Statistics. Advanced continuous improvement features, unmatched ease and reliability. Creates vibrant, illustrative graphics revealing critical facts hidden in your data, and then writes interpretive reports explaining your analysis. See optimal direction, make correct decisions, achieve peak performance, reduce costs, increase profits. www.statgraphics.com/version16.htm.

Salford Systems (313)

San Diego, CA

Salford Systems develops advanced statistical and data mining software, including the CART decision tree, MARS automated regression, TreeNet boosted decision trees, and Random Forests tree ensembles. Salford Systems strives to make the best academic research easily usable by the practicing data analyst and has recently won several distinguished international honors.

Smith Hanley (408)

New York, NY

Our two divisions—permanent placement and contract staffing— offer targeted recruitment in statistics, biostatistics, SAS programming, data management, market research, health outcomes, and epidemiology. Since 1980, we’ve provided clients and recruits dedicated service, experience, and insight into industry trends for positions at all levels. Permanent: www.smithhanley.com; Contract:

www.smithhanleyconsulting.com

Springer (101, 103, 200, 202)

New York, NY

Springer is one of the largest international publishers of scientific books (4,000 new books per year), and also publishes more than 1,200 journals. Springer’s statistics book program is worldrenowned and has produced many bestselling textbooks, monographs, and reference works. Notable publications include the

Springer Series in Statistics, Statistics for Biology and Health, and

Statistics and Computing.

StatSoft, Inc. (400, 402)

Tulsa, OK

StatSoft, Inc., founded in 1984, is one of the largest producers of enterprise and desktop software for data analysis, data mining, quality control/Six Sigma, and web-based analytics. Its products are used worldwide at most major universities, corporations, and government agencies and are supported with training and consulting services.

StataCorp (516, 518, 520)

College Station, TX

Stata statistical software is a general purpose system intended for use by research professionals. It is available for Windows,

Macintosh, and Unix platforms and provides full data management, graphics, statistical, and matrix language capabilities.

Statistical Society of Canada (603)

Ottawa, ON

The Statistical Society of Canada (SSC) encourages the development and use of statistics and probability in Canada. It has four sections: Biostatistics, Business & Industrial Statistics,

Probability, and the Survey Section. The SSC also offers two levels of accreditation: Professional Statistician (P.Stat.) and

Associate Statistician (A.Stat.).

Washington, DC 19

Statistical Solutions (315)

Saugus, MA

Statistical Solutions Ltd., designs, develops, and distributes unique statistical software applications for statisticians, clinical researchers, and data analysts. Each application addresses specific critical issues that arise in the design and statistical analysis of clinical trials, research surveys, and other scientific investigations. Products include nQuery Advisor, Solas for Missing Data, BMDP, and EquivTest.

The National Academies (420)

Washington, DC

The National Academies consists of four organizations: the

National Academy of Sciences, the National Academy of

Engineering, the Institute of Medicine, and the National Research

Council. The National Academies bring together committees of experts in science, technology, and medicine, offering unbiased advice to the public and federal government.

statistics.com (519)

Arlington, VA

Statistics.com is the leading provider of online courses in statistics.

More than 70 courses, introductory to advanced, are taught by distinguished instructors. Typical courses require 15 hours per week over three or four weeks. There are no set times when you have to be online during the weekly lessons.

TIBCO Spotfire (105)

Somerville, MA

The TIBCO Spotfire enterprise analytics platform offers a visual and interactive experience that helps professionals quickly discover new and actionable insights into information. Distinguished by its speed to gain insight and adapt to specific business challenges,

Spotfire rapidly reveals unseen threats and new opportunities, creating significant economic value.

Substance Abuse and Mental Health Data Archive (320)

Ann Arbor, MI

SAMHDA provides free access to preeminent national data on drug use and mental health and promotes the sharing of these data among researchers, academics, policymakers, service providers, and others. We are an initiative of the Office of Applied Studies and the

Substance Abuse and Mental Health Services Administration.

Systat Software, Inc. (314)

Chicago, IL

Systat Software is the developer of the SYSTAT statistics package.

SYSTAT 12 is a cutting-edge tool for scientific and social research.

It’s recently added methods such as mixed model analysis and partial least-squares regression to its broad portfolio of algorithms and features outstanding 2D and 3D graphics. Visit www.systat.com.

U.S. Census Bureau (608)

Washington, DC

The U.S. Census Bureau’s collections include socioeconomic information–2010 Census and American Community Survey—topics such as population, housing, and income; or business and industry statistics. To identify changes or track trends at the local, state, or national levels or to see what’s new, please visit our booth.

www.census.gov.

USDA, National Agricultural Statistics Service (609)

Washington, DC

USDA’s National Agricultural Statistics Service (NASS) disseminates data on every facet of U.S. agriculture. The agency conducts surveys and issues 500 reports annually. NASS released the 2007

Census of Agriculture in February 2009, providing the only source of agricultural data for every county in the nation. NASS reports are available at www.nass.usda.gov.

Tech Observer (113)

Hackensack, NJ

Tech Observer is a global staffing provider for the pharmaceutical, biotechnology, health care, and IT industries. We are headquartered in the USA, with branches in the UK and India. Our expertise includes biostatistics/statistics, clinical SAS, clinical data management, Oracle clinical, 21 CFR part 11 validation, drug safety, and regulatory affairs and IT.

W.H. Freeman & Company (401)

New York, NY

W.H. Freeman & Company publishes high-quality textbooks and media in statistics. Visit our booth to learn more about our popular titles for introductory statistics, business statistics, and statistics for the life sciences. Also, view demonstrations of our online teaching and learning solution, StatsPortal.

20 JSM 2009

TIME COuRSE INSTRuCTOR(S)

Saturday, August 1, 2009

8:30 a.m. –5:00 p.m.

CE_01C Philip Hougaard

8:30 a.m. –5:00 p.m.

8:30 a.m. –5:00 p.m.

8:30 a.m. –5:00 p.m.

8:30 a.m. –5:00 p.m.

8:30 a.m. –5:00 p.m.

8:30 a.m.–5:00 p.m.

CE_02C

CE_03C

CE_04C

CE_05C

CE_06C

CE_07C

Michael Daniels/Joe Hogan

Douglas C. Montgomery/Bradley A. Jones

Annie Qu/Peter Song

Stephen E. Fienberg

Andrea S. Foulkes

Yi Tsong

Sunday, August 2, 2009

8:30 a.m. – 5:00 p.m.

CE_01C

8:30 a.m. – 5:00 p.m.

CE_08C

8:30 a.m. – 5:00 p.m.

CE_09C

8:30 a.m. – 5:00 p.m.

CE_10C

8:30 a.m. – 5:00 p.m.

CE_11C

8:30 a.m. – 5:00 p.m.

CE_12C

8:30 a.m. – 5:00 p.m.

CE_13C

Philip Hougaard

William B. Smith/Dallas E. Johnson/

F. Michael Speed

David Ruppert/Ciprian Crainiceanu/

Raymond J. Carroll

Thomas Mathew/Kalimuthu Krishnamoorthy

Alan Dorfman/Richard Valliant

Sudipto Banerjee/Andrew O. Finley

Geert Verbeke/Geert Molenberghs

Monday, August 3, 2009

8:00 a.m. – noon

8:30 a.m. – 5:00 p.m.

8:30 a.m. – 5:00 p.m.

8:30 a.m. – 5:00 p.m.

8:30 a.m. – 5:00 p.m.

8:30 a.m. – 5:00 p.m.

8:30 a.m. – 5:00 p.m.

CE_14C

CE_15C

CE_16C

CE_17C

CE_18C

CE_19C

CE_20C

David C. Naftel

Anthony C. Atkinson/Randy D. Tobias

Frank Bretz/José Pinheiro

Bruno Sansó

William Q. Meeker

John Cornell/Greg Piepel

Paul Allison

1:00 p.m. – 5:00 p.m.

Tuesday, August 4, 2009

8:00 a.m. – noon

8:30 a.m. – 5:00 p.m.

8:30 a.m. – 5:00 p.m.

8:30 a.m. – 5:00 p.m.

8:30 a.m. – 5:00 p.m.

8:30 a.m. – 5:00 p.m.

8:30 a.m. – 5:00 p.m.

1:00 p.m. – 5:00 p.m.

CE_21C

CE_22C

CE_23C

CE_24C

CE_25C

CE_26C

CE_27C

CE_28C

CE_29C

Martin King/Narinder Nangia/Jane Qian

Mitchell H. Gail/Ruth Pfeiffer

S. J. Koopman

Bimal K. Sinha/Guido Knapp

Maria Rizzo/Jim Albert

Martin Theus/Simon Urbanek

Athanasios Kottas/Abel Rodriguez

Devan Mehrotra/Alex Dmitrienko/

Keaven Anderson

Stanislav Kolenikov

Wednesday, August 5, 2009

8:00 a.m. – 9:45 a.m.

8:00 a.m. – 9:45 a.m.

CE_30T

CE_31T

8:00 a.m. – 9:45 a.m.

CE_32T

10:00 a.m. – 11:45 a.m. CE_33T

10:00 a.m. – 11:45 a.m. CE_34T

10:00 a.m. – 11:45 a.m. CE_35T

1:00 p.m. – 2:45 p.m.

1:00 p.m. – 2:45 p.m.

1:00 p.m. – 2:45 p.m.

CE_36T

CE_37T

CE_38T

Brian Sullivan

Jeffrey Pitblado

Fang Chen

Michael Borenstein/Hannah R. Rothstein

Roberto G. Gutierrez

Fang Chen

Janet D. Elashoff/Brian Sullivan

Mikhail Golovnya

Yang Yuan

3:00 p.m. – 4:45 p.m.

3:00 p.m. – 4:45 p.m.

3:00 p.m. – 4:45 p.m.

CE_39T

CE_40T

CE_41T

Mikhail Golovnya

Anthony An

Yannis Jemiai

COuRSE TITLE

Analysis of Multivariate Survival Data

Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and

Sensitivity Analysis

Design of Experiments: New Methods and How to Use Them

Longitudinal Data Analysis: Semiparametric and Nonparametric Approaches

The Analysis of Cross-Classified Categorical Data

Applied Statistical Genetics for Population-Based Association Studies

Active Control Clinical Trials

Analysis of Multivariate Survival Data

New Developments of Traditional Multivariate Analyses

Semiparametric Regression

Tolerance Intervals: Theory, Applications, and Computation

Model-Based Survey Sampling: Theory and Practice

Hierarchical Modeling and Analysis of Spatial-Temporal Data: Emphasis in

Forestry, Ecology, and Environmental Sciences

Models for Discrete Repeated Measures

Methodology for Competing Outcomes: The Analysis of Multiple Mutually Exclusive

Endpoints in a Clinical Trial

Optimum Experimental Designs

Dose-Finding Studies: Methods and Implementation

Bayesian Inference

Experiences and Pitfalls in Reliability Data Analysis and Test Planning

Methods for Designing and Analyzing Mixture Experiments

Multiple Imputation of Missing Data

Evaluating Probability of Success for Internal Decisionmaking in Early

Drug Development

Absolute Risk Prediction

State Space Time Series Analysis in Practice

Statistical Meta-Analysis: Methods and Applications

Monte Carlo and Bayesian Computation with R

Comprehensive Data Analysis Using Interactive Statistical Graphics

Applied Bayesian Nonparametric Mixture Modeling

Analysis of Clinical Trials: Theory and Applications

Bootstrap for Complex Surveys

Methods for Multiple Imputation with SOLAS for Missing Data Analysis 3.2

Survey Data Analysis with Stata

Introduction to Bayesian Analysis Using SAS Software

Meta-Analysis: Concepts and Applications

Multilevel and Mixed Models in Stata

Introduction to the MCMC Procedure in SAS/STAT Software

Determining Sample Size and Power in Study Planning: nQuery Advisor 7.0

Introduction to CART: Data Mining with Decision Trees

Group Sequential Analysis Using SAS Software

Advances in Data Mining: Jerome Friedman’s TreeNet/MART and Leo Breiman’s

Random Forests

Using Replication Methods to Analyze Survey Data in SAS Software

Introduction to Siz: Cytel’s New Software Package for Clinical Trial Design and Analysis

Washington, DC 21

Technical Sessions Key

15

Session Number

CC

Walter E.

Washington

Convention

Center

104

Room Number

sundAy, AuGust 2

Sponsor

American Statistical Association

Business & Economic Statistics Section

Biometrics Section

Biopharmaceutical Section

Caucus for Women in Statistics

Committee on Career Development

Section on Statistical Consulting

ASA Colorado-Wyoming Chapter

Section on Statistical Computing

Section on Statisticians in Defense and National Security

Section on Statistical Education

Eastern North American Region of the International Biometric Society

Section on Statistics and the Environment

Section on Statistics in Epidemiology

Section on Government Statistics

Section on Statistical Graphics

Section on Health Policy Statistics

International Chinese Statistical Association

International Indian Statistical Association

Institute of Mathematical Statistics

International Statistical Institute

Journal of Computational and Graphical Statistics

Section on Statistics and Marketing

Section on Nonparametric Statistics

Section on Risk Analysis

2:00 p.m.

15 CC-143A

38 CC-142

13 CC-101

24 CC-203A

25 CC-203B

1 CC-202A

26 CC-201

17 CC-102B

27 CC-102A

5 CC-141

23 CC-206

9 CC-143B

7 CC-207B

2 CC-155

36 CC-153

22 CC-144A

28 CC-204A

32 CC-158A

35 CC-158B

20 CC-204C

34 CC-208A

6 CC-150B

18 CC-209C

14 CC-144B

10 CC-209A

11 CC-207A

29 CC-159A

4 CC-204B

30 CC-157

16 CC-159B

4:00 p.m.

40 CC-207B

48 CC-155

63 CC-157

45 CC-101

54 CC-102A

65 CC-204A

43 CC-102B

56 CC-202B

78 CC-203B

79 CC-201

72 CC-142

58 CC-143C

41 CC-144A

69 CC-143B

40 CC-207B

51 CC-204C

59 CC-209B

49 CC-202A

57 CC-149A

47 CC-144B

75 CC-148

40 CC-207B

67 CC-143A

40 CC-207B

6 CC-208A

40 CC-207B

52 CC-206

53 CC-207A

44 CC-209C

70 CC-160

68 CC-208B

42 CC-209A

73 CC-153

Washington, DC 23

Technical Sessions Key

15

Session Number

CC

Walter E.

Washington

Convention

Center

104

Room Number

sundAy, AuGust 2

Sponsor

Section on Bayesian Statistical Science

SOC

Section on Physical and Engineering Sciences

Section on Survey Research Methods

Section on Statistical Graphics

WNAR

Committee on Women in Statistics

2:00 p.m.

3 CC-209B

37 CC-208B

12 CC-150A

21 CC-143C

19 CC-149B

33 CC-144C

39 CC-148

8 CC-202B

4:00 p.m.

61 CC-158B

62 CC-158A

76 CC-159B

77 CC-159A

55 CC-149B

74 CC-141

46 CC-150A

60 CC-149A

71 CC-144C

40 CC-207B

40 CC-207B

50 CC-203A

24 JSM 2009

Section on Statistical

Consulting

Section on Statistical

Computing

Committee on

Statistics and Disability

Section on

Statisticians in Defense and National Security

Section on

Statistical Education

Eastern North

American Region of the

Intl. Biometric Society

Committee on

Energy Statistics

Section on Statistics and the Environment

Section on Statistics in Epidemiology

Committee on

Professional Ethics

General Methodology,

Section on Statistical

Graphics

Sponsor

American Association of

Public Opinion Research

American Statistical

Association

8:30 a.m.

Business & Economic

Statistics Section

Biometrics Section

85 CC-202A

86 CC-208A

104 CC-208B

122 CC-203B

128 CC-Hall D

129 CC-Hall D

130 CC-Hall D

101 CC-144C

110 CC-153

111 CC-155

Biopharmaceutical Section

102 CC-150B

103 CC-149A

123 CC-150A

113 CC-203A

107 CC-204A

85 CC-202A

96 CC-144A

92 CC-159A

117 CC-159B

91 CC-144B

116 CC-143C

97 CC-206

MOndAy, AuGust 3

10:30 a.m.

144 CC-101

2:00 p.m.

4:00 p.m.

150 CC-141

173 CC-142

187 CC-202A

212 CC-158A

205 CC-142

234 CC-

Ballroom A-B

157 CC-204C

162 CC-203B

171 CC-203A

136 CC-202A

149 CC-201

172 CC-204A

70 CC-143C

141 CC-144C

194 CC-150B

221 CC-144C

222 CC-148

204 CC-153

211 CC-144B

224 CC-144A

233 CC-Hall D

210 CC-143B

230 CC-Hall D

231 CC-Hall D

219 CC-159A

148 CC-143B

209 CC-102A

226 CC-L Street

Bridge

228 CC-L Street

Bridge

188 CC-155

8:00 p.m.

153 CC-143A

169 CC-144A

135 CC-202B

187 CC-202A

213 CC-141

233 CC-Hall D

140 CC-102B

137 CC-209B

203 CC-209A

218 CC-203B

60 CC-204B

168 CC-209A

191 CC-160

217 CC-143C

Section on

Government Statistics

88 CC-202B

106 CC-204C

109 CC-102A

124 CC-L Street

Bridge

125 CC-L Street

Bridge

152 CC-155

165 CC-149A

206 CC-101

15

Session Number

CC

Walter E.

Washington

Convention

Center

104

Room Number

Technical Sessions Key

Washington, DC 25

Technical Sessions Key

15

Session Number

CC

Walter E.

Washington

Convention

Center

104

Room Number

MOndAy, AuGust 3

Sponsor

Section on

Statistical Graphics

Section on Health

Policy Statistics

8:30 a.m.

International Chinese

Statistical Association

International Indian

Statistical Association

Institute of

Mathematical Statistics

89 CC-101

85 CC-202A

87 CC-201

134 CC-Hall D

85 CC-202A

85 CC-202A

93 CC-204B

94 CC-209B

95 CC-207A

121 CC-209C

JASA, Theory and Methods

Section on Statistics and Marketing

Section on

Nonparametric Statistics

Section on Quality and Productivity

Section on Risk Analysis

118 CC-209A

131 CC-Hall D

112 CC-148

120 CC-160

98 CC-207B

Section on Bayesian

Statistical Sciences

Section on

Statistics in Sports

ASA Special Interest

Group on Statistical

Learning and Data Mining

119 CC-141

100 CC-158A

105 CC-158B

132 CC-Hall D

133 CC-Hall D

Social Statistics Section

Section on Physical and

Engineering Sciences

Section on Survey

Research Methods

10:30 a.m.

158 CC-160

146 CC-209C

147 CC-207A

145 CC-102A

159 CC-208A

166 CC-208B

143 CC-206

139 CC-158A

151 CC-158B

164 CC-159A

138 CC-207B

2:00 p.m.

192 CC-149B

227 CC-L Street

Bridge

226 CC-L Street

Bridge

187 CC-202A

187 CC-202A

187 CC-202A

197 CC-207A

199 CC-206

201 CC-209B

223 CC-208B

190 CC-143A

189 CC-207B

220 CC-203A

200 CC-204B

202 CC-204A

225 CC-208A

90 CC-102B

108 CC-143B

127 CC-L Street

Bridge

156 CC-159B

114 CC-143A /

99 CC-142

208 CC-204C

142 CC-149B

214 CC-149A

226 CC-L Street

Bridge

154 CC-150A

155 CC-150B

167 CC-148

193 CC-102B

207 CC-201

216 CC-202B

226 CC-L Street

Bridge

187 CC-202A

198 CC-158B

229 CC-L Street

Bridge

85 CC-202A

Statistical Society of Canada

Section on Teaching of

Statistics in the Health

Sciences

Western North

American Region of the

Intl. Biometric Society

85 CC-202A

115 CC-149B

135 CC-202B

187 CC-202A

196 CC-150A

195 CC-159B

232 CC-Hall D

4:00 p.m.

26 JSM 2009

8:00 p.m.

235 CC-

Ballroom

A-B

Sponsor

American

Statistical Association

Business & Economic

Statistics Section

Biometrics Section

Biopharmaceutical

Section

Section on

Statistical Consulting

Council of Chapters

Committee on

Outreach Education

Section on

Statistical Computing

Section on

Statisticians in Defense and National Security

Deming Lectureship

Committee (DEM)

tuesdAy, AuGust 4

8:30 a.m.

241 CC-202A

242 CC-102B

261 CC-143C

267 CC-142

10:30 a.m.

288 CC-102B

254 CC-204C

276 CC-204B

277 CC-203A

252 CC-101

256 CC-204A

280 CC-201

303 CC-158B

289 CC-201

322 CC-203A

323 CC-203B

356 CC-141

371 CC-203A

373 CC-203B

307 CC-204C

324 CC-204B

325 CC-204A

299 CC-158A

291 CC-150A

247 CC-143A

270 CC-141

319 CC-149B

310 CC-144C

Section on

Statistical Education

Eastern North

American Region of the

International

Biometric Society

Section on Statistics and the Environment

Section on Statistics in Epidemiology

Section on

Government Statistics

Section on

Statistical Graphics

Section on Health

Policy Statistics

International Indian

Statistical Association

International Chinese

Statistical Association

266 CC-155

281 CC-Hall D

282 CC-Hall D

283 CC-Hall D

241 CC-202A

242 CC-102B

268 CC-203B

264 CC-158A

274 CC-158B

290 CC-150B

314 CC-153

288 CC-102B

295 CC-202B

292 CC-209C

260 CC-150B

257 CC-102A

312 CC-209B

315 CC-102A

255 CC-144B

309 CC-141

321 CC-144A

271 CC-143B

263 CC-144A

285 CC-L Street

Bridge

241 CC-202A

242 CC-102B

288 CC-102B

2:00 p.m.

344 CC-149A

376 CC-149B

378 CC-Hall D

379 CC-Hall D

380 CC-Hall D

359 CC-142

377 CC-201

358 CC-102A

354 CC-150B

367 CC-153

350 CC-202B

366 CC-159B

340 CC-202A

361 CC-101

362 CC-204A

345 CC-150A

343 CC-143C

349 CC-209B

341 CC-209C

4:00 p.m.

8:00 p.m.

386 CC-

Ballroom A-B

384 CC-

Ballroom A-B

15

Session Number

Technical Sessions Key

CC

Walter E.

Washington

Convention

Center

104

Room Number

Washington, DC 27

Technical Sessions Key

15

Session Number

CC

Walter E.

Washington

Convention

Center

104

Room Number

tuesdAy, AuGust 4

2:00 p.m.

Sponsor

International Indian

Statistical Association

Institute of

Mathematical Statistics

8:30 a.m.

241 CC-202A

242 CC-102B

246 CC-159B

241 CC-202A

242 CC-102B

250 CC-209A

251 CC-207A

279 CC-208B

244 CC-160

10:30 a.m.

288 CC-102B

288 CC-102B

296 CC-207A

298 CC-207B

Journal of Business &

Economic Statistics

Memorial

Section on Statistics and Marketing

Section on

Nonparametric Statistics

Scientific and Public

Affairs Advisory

Committee

Section on Quality and Productivity

302 CC-149A

243 CC-206

275 CC-208A

286 CC-L Street

Bridge

320 CC-157

253 CC-157

Section on Risk Analysis 269 CC-148

Section on Bayesian

Statistical Sciences

259 CC-209B

262 CC-209C

278 CC-207B

305 CC-148

304 CC-208B

308 CC-206

346 CC-207B

351 CC-206

375 CC-157

347 CC-204C

364 CC-143A

353 CC-158A

369 CC-158B

370 CC-159A

368 CC-148

381 CC-L Street

Bridge

382 CC-L Street

Bridge

342 CC-207A

360 CC-209A

372 CC-208A

374 CC-208B

Section on

Statistics in Sports

272 CC-159A

4:00 p.m.

8:00 p.m.

385 CC-202A

Social Statistics Section 265 CC-149A 293 CC-144B

Section on Physical and

Engineering Sciences

Section on Survey

Research Methods

Statistical Society of Canada

The American Statistician

Technometrics

Section on Teaching of Statistics in the

Health Sciences

245 CC-153

248 CC-150A

258 CC-144C

273 CC-149B

284 CC-Hall D

241 CC-202A

242 CC-102B

306 CC-159B

313 CC-159A

301 CC-142

317 CC-143C

327 CC-143B

288 CC-102B

297 CC-143A

300 CC-101

287 CC-L Street

Bridge

316 CC-155

Western North

American Region of the

International

Biometric Society

241 CC-202A

242 CC-102B

249 CC-202B

288 CC-102B

311 CC-209A

355 CC-144A

383 CC-L Street

Bridge

357 CC-144C

365 CC-144B

348 CC-204B

28 JSM 2009

Sponsor

American

Statistical Association

Business & Economic

Statistics Section

Biometrics Section

Biopharmaceutical

Section

Section on

Statistical Consulting

Section on

Statistical Computing

8:30 a.m.

392 CC-202A

403 CC-159A

413 CC-149A

415 CC-149B

393 CC-206

411 CC-209A

426 CC-204A

428 CC-208B

412 CC-209B

429 CC-209C

430 CC-102A

417 CC-148

wednesdAy, AuGust 5

4:00 p.m.

10:30 a.m.

441 CC-207A

462 CC-208A

477 CC-208B

444 CC-209A

460 CC-101

473 CC-203A

474 CC-203B

463 CC-102B

476 CC-102A

2:00 p.m.

491 CC-207A

510 CC-148

515 CC-153

504 CC-102B

525 CC-203A

526 CC-203B

493 CC-202B

505 CC-101

528 CC-201

529 CC-204B

395 CC-155

416 CC-153

495 CC-143A

522 CC-141

530 CC-L Street

Bridge

531 CC-L Street

Bridge

Committee of Presidents of Statistical Societies

Section on Statisticians in Defense and National

Security

397 CC-101

Environmental and Ecological

Statistics

398 CC-159B

Section on

Statistical Education

418 CC-160

Eastern North American

Region of the International

Biometric Society

Section on Statistics

& the Environment

Section on Statistics in Epidemiology

392 CC-202A

400 CC-208A

403 CC-159A

433 CC-L Street

Bridge

405 CC-143B

422 CC-144B

406 CC-207A

419 CC-207B

437 CC-Hall D

438 CC-Hall D

439 CC-Hall D

440 CC-Hall D

399 CC-150B General Methodology

Section on

Government Statistics

Section on

Statistical Graphics

Section on Health

Policy Statistics

International Chinese

Statistical Association

425 CC-204B

392 CC-202A

403 CC-159A

465 CC-149B

467 CC-204A

461 CC-155

442 CC-204C

464 CC-202A

470 CC-204B

454 CC-143B

471 CC-153

458 CC-143C

International Indian Statistical

Association

392 CC-202A

403 CC-159A

445 CC-150A

517 CC-143B

509 CC-142

491 CC-207A

503 CC-202A

497 CC-159A

532 CC-L Street

Bridge

518 CC-102A

520 CC-204C

513 CC-144B

491 CC-207A

491 CC-207A

533 CC-Ballroom A-B

15

Session Number

Technical Sessions Key

CC

Walter E.

Washington

Convention

Center

104

Room Number

Washington, DC 29

Technical Sessions Key

15

Session Number

CC

Walter E.

Washington

Convention

Center

104

Room Number

wednesdAy, AuGust 5

Sponsor 8:30 a.m.

International Indian Statistical

Association, Reps. for Young

Statisticians

434 CC-L Street

Institute of

Mathematical Statistics

392 CC-202A

401 CC-102A

402 CC-201

403 CC-159A

431 CC-L Street

Bridge

432 CC-L Street

Bridge

JASA, Applications and Case Studies

Section on Statistics and Marketing

Noether Award

Committee

Section on

Nonparametric Statistics

Scientific and Public Affairs

Advisory Committee

Section on Quality and Productivity

Section on Risk Analysis

396 CC-150A

424 CC-144A

Section on Bayesian

Statistical Sciences

410 CC-142

414 CC-143A

427 CC-141

Section on

Statistics in Sports

Social Statistics Section 394 CC-204C

10:30 a.m.

452 CC-159B

453 CC-207B

475 CC-160

451 CC-144C

459 CC-150B

447 CC-209C

448 CC-158B

455 CC-159A

457 CC-158A

443 CC-206

469 CC-144A

408 CC-158A SPAIG Committee

Section on Physical and

Engineering Sciences

407 CC-144C 456 CC-209B

Section on Survey

Research Methods

409 CC-202B

420 CC-203A

421 CC-203B

392 CC-202A

403 CC-159A

466 CC-143A

478 CC-141

479 CC-142

468 CC-148

Statistical Society of Canada

Section on Teaching of Statistics in the

Health Sciences

Western North

American Region of the International

Biometric Society

392 CC-202A

403 CC-159A

450 CC-144B

449 CC-201

2:00 p.m.

491 CC-207A

494 CC-206

502 CC-207B

501 CC-209A

527 CC-208A

500 CC-159B

507 CC-160

523 CC-158A

514 CC-158B

498 CC-150B

506 CC-209C

511 CC-209B

524 CC-208B

508 CC-144A

499 CC-143C

516 CC-149B

492 CC-150A

512 CC-144C

519 CC-149A

491 CC-207A

491 CC-207A

4:00 p.m.

30 JSM 2009

Sponsor

American Statistical Association

Business & Economic Statistics Section

Biometrics Section

Biopharmaceutical Section

Section on Statistical Consulting

Section on Statistical Computing

Section on Statisticians in Defense and National Security

Section on Statistical Education

Eastern North American Region of the International Biometric Society

Section on Statistics and the Environment

Section on Statistics in Epidemiology

Section on Government Statistics

Section on Statistical Graphics

Section on Health Policy Statistics

International Chinese Statistical Association

International Indian Statistical Association

Institute of Mathematical Statistics

Memorial

Section on Nonparametric Statistics

Section on Quality and Productivity

Section on Risk Analysis

Section on Bayesian Statistical Sciences

Special Interest Group on Statistical

Learning and Data Mining, International Indian

Statistical Association

Social Statistics Section

Section on Physical and Engineering Sciences

Section on Survey Research Methods

Statistical Society of Canada

tHuRsdAy, AuGust 6

10:30 a.m.

8:30 a.m.

534 CC-207A

550 CC-155

570 CC-153

552 CC-202A

568 CC-203B

569 CC-208A

537 CC-201

547 CC-204B

572 CC-208B

553 CC-207B

564 CC-205

557 CC-101

563 CC-210

534 CC-207A

542 CC-204C

540 CC-144A

555 CC-204A

561 CC-203A

567 CC-150B

556 CC-159A

539 CC-206

578 CC-155

587 CC-149B

610 CC-158B

574 CC-150A

606 CC-160

607 CC-153

609 CC-148

591 CC-144C

592 CC-144B

599 CC-144A

589 CC-159A

577 CC-207A

602 CC-210

590 CC-206

575 CC-207B

581 CC-143C

601 CC-208A

576 CC-150B

600 CC-159B

588 CC-204A

579 CC-102A

586 CC-142 534 CC-207A

534 CC-207A

534 CC-207A

544 CC-143C

545 CC-143A

558 CC-144C

546 CC-149A

566 CC-141

582 CC-202B

583 CC-202A

608 CC-208B

549 CC-158A

535 CC-143B

548 CC-144B

559 CC-142

595 CC-203A

605 CC-203B

598 CC-158A

603 CC-143B

593 CC-204B

594 CC-204C

611 CC-205

580 CC-201

560 CC-160

538 CC-149B

565 CC-148

551 CC-150A

554 CC-158B

571 CC-159B

534 CC-207A

543 CC-102A

585 CC-143A

604 CC-157

573 CC-102B

596 CC-141

15

Session Number

CC

Walter E.

Washington

Convention

Center

104

Room Number

Technical Sessions Key

Washington, DC 31

32 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Descriptions

Session Tag Descriptions

We expect both theme and applied sessions to draw a diverse audience.

THEME J

JSM theme sessions are directly relevant to the 2009

JSM theme, “Statistics: From Evidence to Policy.”

Theme sessions are designed to expand the frontiers of statistical thought, emphasize new directions, and promote interdisciplinary collaboration.

APPLIED 

JSM applied sessions have applications at the heart of the presentations. Because these sessions are grounded in applications across many areas of science and engineering, they may involve interdisciplinary work and include presentations by nonstatisticians. Applied sessions vary in scope, ranging from presentations on state-of-the-art statistical methodology applied to realworld problems to those that are tutorial in nature.

tHuRsdAy, JuLy 30

Committee/Business Meetings &

Other Activities

7:00 p.m.–9:00 p.m. RH-Meeting Room 2

ASA Board of Directors Executive Committee Working

Dinner (closed)

Chair(s): Sally C. Morton, RTI International

Late-Breaking Sessions

Monday, August 3, 2:00 p.m. – 3:50 p.m.

CC-202A

Session 187 – Late-Breaking Session I:

Policymakers to Get Full Data Coverage of the Nation's

Service Sector

Wednesday, August 5, 8:30 a.m. – 10:20 a.m.

CC-202A

Session 392 – Late-Breaking Session II: The Role of

Statistics in the Nation's Financial Recovery and Stability

Wednesday, August 5, 10:30 a.m. – 12:20 p.m.

CC-207A

Session 441 – Late-Breaking Session III: Statistics in the

New Administration

FRIdAy, JuLy 31

Committee/Business Meetings &

Other Activities

7:30 a.m.–8:30 a.m. RH-Meeting Room 4

ASA Board of Directors Breakfast (closed)

Chair(s): Sally C. Morton, RTI International

8:30 a.m.–5:00 p.m.

ASA Board of Directors Meeting

Chair(s): Sally C. Morton, RTI International

RH-Meeting Room 3

12:30 p.m.–1:30 p.m. RH-Meeting Room 4

ASA Board of Directors Lunch (closed)

Chair(s): Sally C. Morton, RTI International

6:30 p.m.–7:30 p.m. RH-Suite 1240

JSM Staff and ASA Board of Directors Reception (closed)

Chair(s): Ron Wasserstein, ASA

Washington, DC 33

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

sAtuRdAy, AuGust 1

Committee/Business Meetings &

Other Activities

7:30 a.m.–8:30 a.m. RH-Meeting Room 4

ASA Board of Directors Breakfast (closed)

Chair(s): Sally C. Morton, RTI International

7:30 a.m.–3:30 p.m.

ASA Board of Directors Meeting

Chair(s): Sally C. Morton, RTI International

RH-Meeting Room 3

7:30 a.m.–6:00 p.m.

Cyber Center

7:30 a.m.–7:30 p.m.

JSM Main Registration

CC-East Registration

7:30 a.m.–7:30 p.m. CC-East Registration

ASA Membership/Special Assistance/Press Desk

CC-East Registration

8:00 a.m.–4:00 p.m. RH-Meeting Room 5

Fostering Diversity in Statistics (closed)

Chair(s): Brian Millen, Eli Lilly and Company

8:00 a.m.–5:00 p.m.

Exhibitor Move-In and Lounge

CC-Hall D

9:00 a.m.–12:00 p.m. RH-Renaissance Ballroom West A

Statisticians Working on Complementary and Alternative

Medicine (CAM) Studies

Chair(s): Laura Lee Johnson, U.S. Department of Health and

Human Services

9:00 a.m.–5:00 p.m. CC-Hall D

Career Placement Service (job posting and resume submission only)

10:00 a.m.–6:00 p.m.

Speaker Management Room

CC-154A

11:00 a.m.–12:30 p.m. RH-Meeting Room 6

Annual Meeting of the GCRC Statisticians Lunch (closed)

Organizer(s): James Grady, Universtiy of Texas Medical Branch

12:00 p.m.–1:00 p.m. RH-Meeting Room 4

ASA Board of Directors Lunch (closed)

Chair(s): Sally C. Morton, RTI International

12:00 p.m.–5:30 p.m.

ASA Marketplace

CC-East Registration

12:30 p.m.–5:30 p.m. RH-Meeting Room 2

Annual Meeting of the GCRC Statisticians

Organizer(s): James Grady, University of Texas Medical Branch at Galveston

2:00 p.m.–5:30 p.m. RH-Renaissance Ballroom West A

Statistics Education NSF Investigators’ Meeting

Organizer(s): Dennis Pearl, The Ohio State University

3:00 p.m.–6:00 p.m. RH-Renaissance Ballroom West B

NISS/SAMSI Affiliates Meeting (closed)

Organizer(s): Alan F. Karr, National Institute of Statistical Sciences

Continuing Education (Fee Events)

CE_01C

Analysis of Multivariate Survival Data

8:30 a.m.–5:00 p.m.

ASA

Instructor(s): Philip Hougaard, H. Lundbeck A/S

CC-204 A & B

CE_02C

Missing Data in Longitudinal Studies: Strategies for

Bayesian Modeling and Sensitivity Analysis

8:30 a.m.–5:00 p.m. CC-204C

ASA, Biometrics Section

Instructor(s): Michael J. Daniels, University of Florida;

Joseph W. Hogan, Brown University

CE_03C

Design of Experiments: New Methods and How to

Use Them

8:30 a.m.–5:00 p.m. CC-102A

ASA, Section on Quality and Productivity

Instructor(s): Douglas C. Montgomery, Arizona State University;

Bradley A. Jones, SAS Institute Inc.

CE_04C

Longitudinal Data Analysis: Semiparametric and

Nonparametric Approaches

8:30 a.m.–5:00 p.m.

ASA, Biometrics Section

CC-101

Instructor(s): Annie Qu, University of Illinois at Urbana Champaign;

Peter X.K. Song, University of Michigan

CE_05C

The Analysis of Cross-Classified Categorical Data

8:30 a.m.–5:00 p.m. CC-209C

ASA, Section on Survey Research Methods

Instructor(s): Stephen Fienberg, Carnegie Mellon University

34 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

CE_06C

Applied Statistical Genetics for Population-Based

Association Studies

8:30 a.m.–5:00 p.m. CC-209 A & B

ASA, Section on Statistics in Epidemiology

Instructor(s): Andrea S. Foulkes, University of Massachusetts

CE_07C

Active Control Clinical Trials

8:30 a.m.–5:00 p.m.

ASA

Instructor(s): Yi Tsong, FDA

CC-102B

sundAy, AuGust 2

Tours

TR01 - Annapolis: Highlighting the U.S. Naval Academy

9:00 a.m.–2:00 p.m.

TR02 - Historic Tour of Mt. Vernon

10:00 a.m.–2:00 p.m.

TR04 - Welcome to Washington Tour

10:00 a.m.–2:00 p.m.

TR03 - The Kennedys: A Georgetown Walking Tour

10:00 a.m.–2:00 p.m.

Committee/Business Meetings &

Other Activities

7:00 a.m.–8:30 a.m. RH-Meeting Room 4

Annual Meeting of the GCRC Statisticians Breakfast

Organizer(s): James Grady, University of Texas Medical Branch at Galveston

7:30 a.m.–9:00 a.m. RH-Meeting Room 7

Committee on Women in Statistics Meeting (closed)

Chair(s): Mari Palta, University of Wisconsin-Madison

7:30 a.m.–10:30 a.m.

Committee on Publications (closed)

Chair(s): David W. Scott, Rice University

CC-301

7:30 a.m.–8:30 p.m.

JSM Main Registration

7:30 a.m.–10:30 p.m.

Cyber Center

CC-East Registration

7:30 a.m.–8:30 p.m. CC-East Registration

ASA Membership/Special Assistance/Press Desk

CC-East Registration

8:00 a.m.–11:00 a.m.

Exhibitor Move-In

CC-Hall D

8:00 a.m.–11:00 a.m.

COSGB (closed)

RH-Meeting Room 3

Chair(s): Janet Buckingham, Southwest Research Institute

8:00 a.m.–12:00 p.m. CC-302

Advisory Committee on Teacher Enhancement Committee

Meeting (closed)

Chair(s): Deborah Rumsey, The Ohio State University

8:30 a.m.–12:00 p.m. RH-Meeting Room 4

Annual Meeting of the GCRC Statisticians

Organizer(s): James Grady, University of Texas Medical Branch at Galveston

9:00 a.m.–10:30 a.m. RH-Meeting Room 7

Caucus for Women in Statistics Executive Committee

Meeting (closed)

Organizer(s): Marcia A. Ciol, University of Washington

9:00 a.m.–1:00 p.m.

IMS Executive Committee Meeting

CC-205

Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael

Steele, IMS President; Nanny Wermuth, IMS President

9:00 a.m.–5:00 p.m. RH-Meeting Room 2

NISS/ASA Writing Workshop for Junior Researchers

Chair(s): Keith Crank, ASA

9:00 a.m.–5:30 p.m.

ASA Marketplace

CC-East Registration

11:30 a.m.–2:00 p.m. RH-Meeting Room 5

Statistica Sinica Editorial Board Meeting (closed)

Organizer(s): Jing-Shiang Hwang, Academia Sinica, Taiwan

11:30 a.m.–2:00 p.m.

Committee on Committees (closed)

CC-303

Chair(s): Margo Anderson, University of Wisconsin - Milwaukee

Washington, DC 35

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

12:00 p.m.–1:30 p.m. RH-Meeting Room 3

Journal of Statistics Education Editorial Board Meeting

(closed)

Chair(s): William Notz, Technometrics Management Committee

12:00 p.m.–3:00 p.m. RH-Meeting Room 6

Annual Meeting of the GCRC Statisticians Lunch (closed)

Organizer(s): James Grady, University of Texas Medical Branch at Galveston

12:30 p.m.–2:00 p.m. RH-Grand Ballroom

JSM First-Time Attendee Orientation and Reception

1:00 p.m.–6:00 p.m. CC-Hall D

Career Placement Service (full placement service open)

1:00 p.m.–6:00 p.m.

EXPO 2009

CC-Hall D

1:00 p.m.–6:00 p.m.

American Statistical Association Booth #101

CC-Hall D

2:00 p.m.–4:30 p.m. CC-2nd Floor Overlook West

COS Annual Business Meeting

Chair(s): Janet Buckingham, Southwest Research Institute

3:30 p.m.–4:30 p.m. CC-301

The University of North Carolina at Chapel Hill 60th

Anniversary Planning Committee (closed)

Organizer(s): Michael Kosorok, The University of North Carolina at Chapel Hill

4:00 p.m.–5:00 p.m.

Meeting of Statistics Without Borders

RH-Meeting Room 3

Chair(s): James J. Cochran, Louisiana Tech University

4:00 p.m.–5:30 p.m. CC-3rd Floor East Ear

2009–2010 Committee Chairs Meeting

Chair(s): Margo Anderson, University of Wisconsin, Milwaukee

4:00 p.m.–6:00 p.m. CC-205

Career Development Seminar: From Evidence to Policy –

Careers in Government Statistics

Chair(s): Janet Myhre, Consultant

This event is now scheduled for Tues. Aug. 4 12:00 p.m–2:00 p.m. Off Property

ENAR Executive Committee Meeting (by invitation only)

Organizer(s): Kathy Hoskins, ENAR

5:00 p.m.–6:30 p.m.

Section on Statistical Learning and Data Mining

Business Meeting

Chair(s): Joseph S. Verducci, The Ohio State University

CC-302

5:00 p.m.–8:00 p.m. RH-Meeting Room 6

International Chinese Statistical Association (ICSA)

Board Meeting (closed)

Organizer(s): Ming-Hui Chen, University of Connecticut

5:30 p.m.–7:00 p.m.

Section on Quality and Productivity Executive

Committee Meeting

Chair(s): Martha Gardner, General Electric Global Research

CC-303

5:30 p.m.–8:00 p.m. RH-Meeting Room 7

Committee on Scientific Freedom and Human

Rights Meeting

Chair(s): William Seltzer, Fordham University

5:30 p.m.–8:30 p.m.

IMS Council I Meeting

RH-Meeting Room 5

Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael

Steele, IMS President; Nanny Wermuth, IMS President

6:00 p.m.–7:00 p.m. RH-Meeting Room 2

Advisory Committee on Continuing Education

Presenter Social (closed)

Chair(s): Xiaoming Sheng, University of Utah

6:00 p.m.–7:30 p.m. RH-Renaissance Ballroom West A

Cancer Center Biostatistics Directors Annual Meeting

Organizer(s): Terry Hyslop, Thomas Jefferson University

6:00 p.m.–8:00 p.m. RH-Meeting Room 4

Committee on Career Development Business Meeting

(closed)

Chair(s): Janet Myhre, Claremont McKenna College

6:00 p.m.–8:30 p.m. Off Property

Biometrics Section Executive Committee Meeting (closed)

Chair(s): Daniel Heitjan, University of Pennsylvania

6:30 p.m.–8:30 p.m. CC-2nd Floor Overlook East

Purdue Statistics Department Alumni and Friends

Reception

Organizer(s): Sandra Howarth, Purdue Univeristy

7:00 p.m.–8:30 p.m.

Isolated Statisticians Annual Meeting

Organizer(s): Shonda Kuiper, Grinnell College

CC-141

8:00 p.m.–10:00 p.m.

Google Reception (closed)

Organizer(s): Lysandra Sapp, Google

8:00 p.m.–10:30 p.m.

JSM Opening Mixer

RH-Meeting Room 3

RH-Grand Ballroom

36 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Continuing Education (Fee Events)

CE_01C

Analysis of Multivariate Survival Data

8:30 a.m.–5:00 p.m. RH-Renaissance Ballroom West A

ASA

Instructor(s): Philip Hougaard, H. Lundbeck A/S

CE_08C

New Developments of Traditional Multivariate Analyses

8:30 a.m.–5:00 p.m. RH-Meeting Room 16

ASA

Instructor(s): William B. Smith, Lecot Inc.; Dallas E. Johnson,

Kansas State University; F. Michael Speed, Texas A&M University

CE_09C

Semiparametric Regression

8:30 a.m.–5:00 p.m. RH-Renaissance Ballroom West A

ASA

Instructor(s): David Ruppert, Cornell University; Ciprian M.

Crainiceanu, Johns Hopkins University; Raymond J. Carroll,

Texas A&M University

CE_10C

Tolerance Intervals: Theory, Applications, and Computation

8:30 a.m.–5:00 p.m. RH-Meeting Rooms 10 & 11

ASA, Section on Physical and Engineering Sciences

Instructor(s): Thomas Mathew, University of Maryland,

Baltimore County; Kalimuthu Krishnamoorthy, University of

Louisiana-Lafayette

CE_11C

Model-Based Survey Sampling: Theory and Practice

8:30 a.m.–5:00 p.m. RH-Meeting Room 15

ASA, Section on Survey Research Methods

Instructor(s): Alan H. Dorfman, Bureau of Labor Statistics;

Richard Valliant, University of Michigan

Invited Sessions 2:00 p.m.–3:50 p.m.

1 CC-202A n J

The Statistical Issues Surrounding

Progression-Free Survival in Oncology Drug

Development—Invited

Biopharmaceutical Section, Biometrics Section

Organizer(s): William D. Bushnell, GlaxoSmithKline;

Rajeshwari Sridhara, FDA

Chair(s): Rajeshwari Sridhara, FDA

2:05 p.m. On Analysis of Progression-Free-Survival—

Cong Chen, Merck Research Laboratories

2:25 p.m. Interval Censoring in Time-to-Progression Data—

Zhenming Shun, sanofi-aventis

2:45 p.m. Central Review of Progression-Free Survival in Phase 3 Oncology Trials—◆Ohad Amit,

GlaxoSmithKline ; Frank Mannino, GlaxoSmithKline

3:05 p.m. Use of Blinded Independent Review for Auditing

Purposes—◆Lori Dodd, National Cancer Institute

3:25 p.m. Impact of Variability in Progression Assessments on Type I and Type II Errors—◆Shenghui Tang,

FDA

; Xiaoping Jiang, FDA; Kun He, FDA;

Rajeshwari Sridhara, FDA

3:45 p.m. Floor Discussion

2 CC-155 n

Efficient Methods for the Analysis of Spatial

Data: Computing and Application—Invited

Section on Statistical Computing, Section on Bayesian

Statistical Science, Section on Statistics and the Environment,

Interface Foundation of North America

Organizer(s): Brian J. Smith, The University of Iowa

Chair(s): Jacob J. Oleson, The University of Iowa

CE_12C

Hierarchical Modeling and Analysis of Spatial-Temporal

Data: Emphasis in Forestry, Ecology, and Environmental

Sciences

8:30 a.m.–5:00 p.m. RH-Meeting Rooms 8 & 9

ASA, Section on Bayesian Statistical Science

Instructor(s): Sudipto Banerjee, The University of Minnesota;

Andrew Finley, Michigan State University

CE_13C

Models for Discrete Repeated Measures

8:30 a.m.–5:00 p.m. RH-Meeting Rooms 12,13,14

ASA

Instructor(s): Geert Molenberghs, Hasselt University/Katholieke

Universiteit Leuven; Geert Verbeke, Katholieke Universiteit Leuven

2:05 p.m.

Efficient Methods for the Analysis of Spatial Data:

Computing and Application—◆Murali Haran,

Penn State University

2:30 p.m. Reparameterized and Marginalized Posterior and Predictive Sampling for Complex Bayesian

Geostatistical Models—◆Mary K. Cowles,

The University of Iowa

; Jun Yan, University of

Connecticut

; Brian J. Smith, The University of Iowa

2:55 p.m. Ramps: An R Package for Unified Geostatistical

Modeling of Complex Spatio-Temporal Data—

Brian J. Smith, The University of Iowa

; Jun Yan,

University of Connecticut

3:20 p.m. Combining Data for Efficient Prediction of the

Spatial Distribution of Iowa Residential Radon

Levels—◆Jun Yan, University of Connecticut; Mary

K. Cowles, The University of Iowa ; Brian J. Smith,

The University of Iowa

3:45 p.m. Floor Discussion

Washington, DC 37

You are invited to the

First-Time

Attendee

Orientation and Reception

Renaissance Washington, DC, Hotel

Grand Ballroom

Sunday, August 2, 12:30 p.m. – 2:00 p.m.

Open to All First-Timers

Learn how to get the most out of your first JSM experience, meet new people, and network.

This reception is sponsored by the ASA, ENAR, IMS, SSC, WNAR, and the Caucus for Women in Statistics

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3 n

Recent Advances in Bayesian Model

Selection—Invited

CC-209B

Section on Bayesian Statistical Science

Organizer(s): Hani Doss, University of Florida

Chair(s): Michael J. Daniels, University of Florida

2:25 p.m. Making a Difference: Providing Statistical Support for NIH-Sponsored Clinical Trials—◆Marian Ewell,

The EMMES Corporation

2:45 p.m. The Gertrude Cox Race—◆Stephanie Shipp,

Science and Technology Policy Institute

3:05 p.m. Statistics in a Multidisciplinary Environment—

Julia L. Bienias, Consultant

3:25 p.m. The Gertrude Cox Scholarship: Then and Now—

Holly B. Shulman, CDC

3:45 p.m. Floor Discussion

2:05 p.m. Sequential Bayesian Model Selection—

David Madigan, Columbia University

2:35 p.m.

Estimation of Large Families of Bayes Factors from

Markov Chain Output—◆Hani Doss, University of Florida

3:05 p.m. Approaches to Model Selection Using BART—

Hugh Chipman, Acadia University

3:35 p.m. Floor Discussion

4 CC-204B n J

Innovative Visualization Tools: A Way to

Engage Citizens and Influence Policy—Invited

International Statistical Institute, Social Statistics Section, Section on Statistical Graphics, Section on Government Statistics, Interface

Foundation of North America

Organizer(s): Juana Sanchez, University of California,

Los Angeles; Enrico Giovannini, Organization for Economic

Cooperation & Development

Chair(s): Irina Kukuyeva, University of California, Los Angeles

2:05 p.m.

Wikis, Dynamic Charts, Videos, and Other

Innovative Tools to Transform Statistics Into

Knowledge—◆Enrico Giovannini, Organization for

Economic Cooperation & Development

2:35 p.m. BalatonTrend: A Multimodal Approach to Visualizing and Communicating Regional Trends Related to Vulnerability and Adaptation—◆László Pintér,

International Institute for Sustainable Development;

Livia Bizikova, International Institute for Sustainable

Development

3:05 p.m. Visualizing Statistics in the Netherlands—

Edwin de Jonge, Statistics Netherlands

3:35 p.m. Floor Discussion

6 CC-150B n

The Use of Paradata in Federal Government

Surveys—Invited

Section on Government Statistics, Section on Survey Research

Methods, Social Statistics Section

Organizer(s): James M. Dahlhamer, National Center for

Health Statistics

Chair(s): Nancy Bates, U.S. Census Bureau

2:05 p.m.

Modeling the Difference in Interview Characteristics for Different Respondents—◆John Dixon, Bureau of

Labor Statistics

2:25 p.m. An Evaluation of Nonresponse Bias Using Paradata from a Health Survey—◆Aaron Maitland, National

Center for Health Statistics

; Carolina Casas-Cordero,

University of Maryland

; Frauke Kreuter, University of Maryland

2:45 p.m. Use of Paradata to Manage a Field Data

Collection—◆Robert Groves, University of Michigan;

William Axinn, University of Michigan ; James

Lepkowski, University of Michigan

; Nicole Kirgis,

University of Michigan

; William Mosher, National

Center for Health Statistics

3:05 p.m. Using the Fraction of Missing Information to Monitor the Quality of Survey Data—◆James Wagner,

University of Michigan

3:25 p.m. Subunit Nonresponse in the National Health

Interview Survey (NHIS): An Exploration Using

Paradata—◆James M. Dahlhamer, National Center for Health Statistics

; Catherine M. Simile, National

Center for Health Statistics

3:45 p.m. Floor Discussion

5 CC-141

The Gertrude Cox Scholarship: 20 Years of

Recognizing Young Women in Statistics—Invited

Caucus for Women in Statistics, Social Statistics Section

Organizer(s): Holly B. Shulman, CDC

Chair(s): Marcia A. Ciol, University of Washington

2:05 p.m.

Methods for Designing Observational Studies from Public Policy to Public Health—◆Elizabeth A.

Stuart, Johns Hopkins Bloomberg School of

Public Health

Washington, DC 39

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

7 CC-207B n J

Statistics in the Beltway: From Data to

Policy—Invited

Washington Statistical Society, Section on Survey Research

Methods, Social Statistics Section, Section on

Government Statistics

Organizer(s): Karol Krotki, RTI International

Chair(s): Karol Krotki, RTI International

9 CC-143B

J

Doubly Robust Estimation for Empirical

Policymaking—Invited

Section on Statistical Consulting, Section on Government Statistics

Organizer(s): Eric J. Tchetgen, Harvard University

Chair(s): James Robins, Harvard School of Public Health

2:05 p.m.

Use of Statistics at the Centers for Disease Control and Prevention and National Cancer Institute:

Estimation of the Number of Deaths Associated with Body Weight—◆Barry I. Graubard, National

Cancer Institute

; Katherine Flegal, National Center for Health Statistics

; David Williamson, Emory

University

; Mitchell H. Gail, National Cancer Institute

2:35 p.m. How Numbers Rule: Pitfalls and Practicalities from

Health Policy—◆Joshua Wiener, RTI International

3:05 p.m.

Using Statistical Analyses to Inform Congressional

Decisions—◆Nancy Kingsbury, U.S. Government

Accountability Office

3:35 p.m. Floor Discussion

2:05 p.m. Efficient, Stable, and Doubly Robust Estimation with Inverse Weighting—◆Zhiqiang Tan,

Rutgers University

2:30 p.m. Doubly Robust Ecological Inference—◆Daniel

Rubin, University of California, Berkeley

; Mark J. van der Laan, University of California, Berkeley

2:55 p.m. Logistic Regression in a Semiparametric Model for

Case-Control Data—◆Eric J. Tchetgen, Harvard

University ; Andrea Rotnitzky, Universidad Di Tella and Harvard University

; James Robins, Harvard

School of Public Health

3:20 p.m. Double-Robust and Efficient Methods for Estimating the Causal Effects of a Binary Treatment—

Andrea Rotnitzky, Universidad Di Tella and

Harvard University

; James Robins, Harvard School of Public Health

; Mariela Sued, Universidad de

Buenos Aires ; Quanhong Lei-Gomez, Harvard

School of Public Health

3:45 p.m. Floor Discussion

8 CC-202B

Survival Methods for Robustly Modeling

Time-Varying Covariate Effects—Invited

WNAR, Section on Bayesian Statistical Science, Biometrics

Section, Biopharmaceutical Section

Organizer(s): Scott Emerson, University of Washington

Chair(s): Scott Emerson, University of Washington

10

Inference for Orderings: Far-Reaching

Extensions of Kendall’s Tau—Invited

IMS

CC-209A

Organizer(s): Joseph S. Verducci, The Ohio State University

Chair(s): Doug Wolfe, The Ohio State University

2:05 p.m.

Bayesian Nonparametric Survival Regression

Modeling and Inference: A Tale of Handling

Survival Curves That Cross—◆Gary L. Rosner, The

University of Texas M.D. Anderson Cancer Center

;

Wesley O. Johnson, University of California, Irvine

;

Maria DeIorio, Imperial College ; Peter Müller, The

University of Texas M.D. Anderson Cancer Center

2:35 p.m. Inference for Arbitrary Functionals of Survival—

Kyle Rudser, The University of Minnesota ; Michael

LeBlanc, University of Washington

; Scott Emerson,

University of Washington

3:05 p.m. Censoring Robust Semiparametric Estimators of Treatment Effects in Regression Models with

Censored Data—◆Adam Boyd, University of

California, Denver

3:35 p.m. Floor Discussion

2:05 p.m. Nonparametric Estimation and Survey Design for

Preference Data—◆Guy Lebanon, Georgia Institute of Technology

2:35 p.m. The Tau-Path Test: A Generalization of Kendall’s

Tau Statistic to Test Subpopulation Association—

Li Yu, The Ohio State University

; Joseph S.

Verducci, The Ohio State University

3:05 p.m. Consensus Ranking Under the Exponential

Model—◆Meila Marina, University of Washington

3:35 p.m. Floor Discussion

40 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11

IMS Medallion Lecture I—Invited

IMS

Organizer(s): Xiaotong Shen, The University of Minnesota

Chair(s): Bin Yu, University of California, Berkeley

2:05 p.m. Statistics for High-Dimensional Data: Toward More

Reliable Results—◆Peter Buhlmann, ETH Zurich

3:30 p.m.

Floor Discussion

Invited Panels 2:00 p.m.–3:50 p.m.

12 CC-150A n J

Building Statistical Capacity Globally—

Invited

Social Statistics Section, Section on Survey Research Methods,

Section on Government Statistics

Organizer(s): Nilupa S. Gunaratna, International

Nutrition Foundation

Chair(s): Stephen Pierson, ASA

Panelists:

Fritz Scheuren, NORC at the University of Chicago

Juanita Tamayo Lott, Tamayo Lott Associates

James J. Cochran, Louisiana Tech University

Siobhan Carey, Central Statistics Office

3:45 p.m. Floor Discussion

Topic-Contributed Sessions

2:00 p.m.–3:50 p.m.

13

Graphical and Network-Based Models:

Applications in Bioinformatics—

Topic-Contributed

CC-207A

CC-101

Biometrics Section, Section on Statistics in Defense and National

Security, Interface Foundation of North America

Organizer(s): Sujay Datta, Fred Hutchinson Cancer Research Center

Chair(s): Sujay Datta, Fred Hutchinson Cancer Research Center

2:05 p.m.

Estimating Counts for Queries Without Accessing a

Database—◆Kyongryun Lee, Iowa State University

2:25 p.m. Hidden Process Models with Applications to fMRI Data—◆Rebecca Hutchinson, Oregon

State University

2:45 p.m. Inferring Network Sstructure Using

Bayesian Structure Learning Techniques—

Radhakrishnan Nagarajan, University of

Arkansas for Medical Sciences

3:05 p.m.

Statistical Methods for Analysis of Genomic

Data with Graphic Structure—◆Caiyan Li,

University of Pennsylvania

3:25 p.m. Understanding Protein Function on a

Genome-Scale Using Networks—

Mark Gerstein, Yale University

3:45 p.m. Floor Discussion

14 CC-144B n J

Data Confidentiality: Do We Really Want to

Disturb a Sleeping Bear?—Topic-Contributed

Section on Health Policy Statistics, Section on Government

Statistics, Section on Survey Research Methods

Organizer(s): Ofer Harel, University of Connecticut

Chair(s): Ofer Harel, University of Connecticut

2:05 p.m.

Bayesian Multiscale Multiple Imputation with

Implications to Data Confidentiality—Scott Holan,

University of Missouri-Columbia ; Daniell Toth,

Bureau of Labor Statistics

; ◆Marco A.R. Ferreira,

University of Missouri-Columbia

; Alan F. Karr,

National Institute of Statistical Sciences

2:25 p.m. Summary of Methods and Preliminary Assessment of the SIPP Synthetic Beta, Version 5.0—◆Gary

Benedetto, U.S. Census Bureau

; Martha Stinson, U.S.

Census Bureau

; Melissa Bjelland, Cornell University

2:45 p.m. Responsible Data Releases—◆Sanguthevar

Rajasekaran, University of Connecticut

; Ofer Harel,

University of Connecticut

; Michael Zuba, University of Connecticut ; Gregory Matthews, University of

Connecticut

; Rob Aseltine, University of Connecticut

Health Center

3:05 p.m. Examining the Robustness of Fully Synthetic

Data Techniques for Data with Binary Variables—

Gregory Matthews, University of Connecticut

;

Ofer Harel, University of Connecticut

; Rob Aseltine,

University of Connecticut Health Center

3:25 p.m.

Disc: Rob Aseltine, University of Connecticut

Health Center

3:45 p.m. Floor Discussion

15

Nonlinear Time Series in Economics and

Finance—Topic-Contributed

Business and Economic Statistics Section

Organizer(s): Michael Levine, Purdue University

Chair(s): Bo Li, Purdue University

CC-143A

2:05 p.m. Semiparametric Estimation of ARCH(8) Model—

Li (Lily) Wang, The University of Georgia

;

Jianhua Huang, Texas A&M University ;

Lijian Yang, Michigan State University

Washington, DC 41

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:25 p.m. Extended Tapered Block Bootstrap for Time

Series—◆Xiaofeng Shao, University of Illinois at

Urbana-Champaign

2:45 p.m. Testing the Linearity Hypothesis in Nonlinear

Autoregression—◆Michael Levine,

Purdue University

3:05 p.m. Investigating Dependence Between Time Series—

Hernando Ombao, Brown University

3:25 p.m.

Disc: Zhengjun Zhang, University of Wisconsin

3:45 p.m. Floor Discussion

17 CC-102B n

Propensity Scores and Bayesian Methods for

Historical Controls and Observational Studies—

Topic-Contributed

Biopharmaceutical Section, Section on Statistics in Epidemiology,

Section on Health Policy Statistics, Section on Statistics in Defense and National Security, Section on Bayesian Statistical Science

Organizer(s): Cindy Yang, FDA

Chair(s): Gosford A. Sawyerr, Purdue Pharma, LP

16 n J

Multi-Scale Methods in Statistics—

Topic-Contributed

CC-159B

Section on Nonparametric Statistics

Organizer(s): Thomas C.M. Lee, Chinese University of Hong Kong/

Colorado State University

Chair(s): Fang Yao, University of Toronto

2:05 p.m. Generalized Fiducial Inference for Wavelet

Regression—◆Jan Hannig, The University of North

Carolina at Chapel Hill ; Thomas C.M. Lee, Chinese

University of Hong Kong/Colorado State University

2:25 p.m. Extension of Hilbert-Huang Transform to Statistical

Problems—◆Hee-Seok Oh, Seoul National

University

; Donghoh Kim, Sejong University

2:45 p.m. Probabilistic Modeling and Statistical Inference for

Computer Network Traffic—Stilian Stoev, University of Michigan

; ◆George Michailidis, University of

Michigan

; Joel Vaughan, University of Michigan

3:05 p.m. Improved SiZer for Time Series—◆Cheolwoo

Park, The University of Georgia

; Jan Hannig,

The University of North Carolina at Chapel Hill

;

Kee-Hoon Kang, Hankuk University of

Foreign Studies

3:25 p.m. A Self-Consistency Approach to Wavelet

Regression with Irregularly Spaced Data—

Thomas C.M. Lee, Chinese University of Hong

Kong/Colorado State University ; Xiao-Li Meng,

Harvard University

3:45 p.m. Floor Discussion

2:05 p.m.

Power Priors for Adaptive Incorporation of Historical

Information in Clinical Trials—◆Brad Carlin, The

University of Minnesota

; Brian Hobbs, The

University of Minnesota

2:25 p.m. Describing the Risk of Drug-Specific Toxicities

Using Cohort Data: To What Extent Can

Associations Be Explained by Channelling or

Other Forms of Bias?—◆Caroline Sabin,

University College London

2:45 p.m.

The Performance of Propensity Score Adjustment with Random Covariate for Estimating Treatment

Effect in Drug Eluting Stent Data—◆Yun Lu, Boston

Scientific Corporation

; Aijun Song, Boston Scientific

Corporation

; Wei Xu, Boston Scientific Corporation;

Yongyi (Alan) Yu, Boston Scientific Corporation

3:05 p.m. Comparing Covariates Selection in Propensity

Score Modeling: A Simulation Study—◆Jian

Huang, Boston Scientific Corporation

; Alan Yu,

Boston Scientific Corporation

; Lan Pan, Boston

Scientific Corporation

3:25 p.m. Propensity Scores in Observational Studies—

Michael Gaffney, Pfizer Inc.

; Jack Mardekian,

Pfizer Inc.

3:45 p.m. Floor Discussion

18

Organizer(s): Kevin Cecco, IRS

Chair(s): Kevin Cecco, IRS

CC-209C n J

Hot Research Projects: A Taste of the

Future for Future Government Statisticians—

Topic-Contributed

Section on Government Statistics, Section on Survey

Research Methods

2:05 p.m.

OnTheMap: An Innovative Mapping Tool—

Matthew Graham, U.S. Census Bureau

; Heath

Hayward, U.S. Census Bureau

2:25 p.m. Statistical Consulting Within the Internal Revenue

Service—◆Ronald Walsh, IRS Statistics of Income;

Rachael Hooker, IRS Statistics of Income

2:45 p.m. Recent Developments in Internet Data Collection

Methods Used at EIA—◆Grace E. ONeill, Energy

Information Administration

42 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:05 p.m.

3:25 p.m.

3:45 p.m.

19 CC-149B

The Impact of Mode and Other Factors on Data

Quality—Topic-Contributed

Section on Survey Research Methods

Organizer(s): Maxine M. Denniston, CDC

Chair(s): Andrew White, National Center for Education Statistics

2:05 p.m.

The Effect of Unbounded Interviews on Differential

Recall—◆Eve M. Waltermaurer, State University of

New York in New Paltz

; Louise-Anne McNutt, State

University of New York at Albany

2:25 p.m. Correlates of Data Quality in the Consumer

Expenditure Quarterly Interview Survey—

Jennifer Edgar, Bureau of Labor Statistics ;

Jeffrey Gonzalez, Bureau of Labor Statistics

2:45 p.m. Comparison of Web-Based versus Paper-and-Pencil

Administration of the YRBS: Participation, Data

Quality, and Perceived Privacy and Confidentiality by Mode of Data Collection—◆Maxine M.

Denniston, CDC

; Nancy D. Brener, CDC; Laura

Kann, CDC

; Danice K. Eaton, CDC; Tim McManus,

CDC ; Tonja M. Kyle, Macro International, Inc.; Alice

M. Roberts, Macro International, Inc.

; Katherine

H. Flint, Macro International, Inc.

; James G. Ross,

Macro International, Inc.

3:05 p.m. Mode Effects and Data Quality on a Survey of New

Businesses—◆David DesRoches, Mathematica

Policy Research, Inc.

3:25 p.m.

Disc: Scott Fricker, Bureau of Labor Statistics

3:45 p.m. Floor Discussion

20

2:05 p.m.

A Fresh Approach to Agricultural Statistics:

Data Mining and Remote Sensing—◆Darcy A.

Miller, National Agricultural Statistics Service

;

Jaki McCarthy, National Agricultural Statistics

Service

; Audra Zakzeski, National Agricultural

Statistics Service

Disc: Nancy Gordon, U.S. Census Bureau

Floor Discussion

California, Berkeley

University of California, Berkeley

CC-204C

Machine Learning–Based Causal Inference:

Toward Robust Black-Box Algorithms for Causal

Effects That Preserve Meaningful Statistical

Inference—Topic-Contributed

Section on Statistics in Epidemiology

Organizer(s): Alan Hubbard, University of California, Berkeley

Chair(s): Alan Hubbard, University of California, Berkeley

Collaborative Targeted Maximum Likelihood

Estimation—◆Susan Gruber, University of

; Mark J. van der Laan,

2:25 p.m. Using Super Learner for Robust Model Selection in

Causal Effect Estimation—◆Eric Polley, University of California, Berkeley

; Mark J. van der Laan,

University of California, Berkeley

2:45 p.m. Targeted Methods for Biomarker Discovery:

The Search for a Standard—◆Catherine Tuglus,

University of California, Berkeley ; Mark J. van der Laan, University of California, Berkeley

3:05 p.m. High-Dimensional Propensity Score Adjustment in Studies of Drug Treatment Effects Using Health

Care Claims Data—◆Jeremy Rassen, Harvard

University

; M. Alan Brookhart, Brigham and

Women’s Hospital/Harvard Medical School

;

Robert J. Glynn, Brigham and Women’s Hospital

;

Jerry Avorn, Harvard University ; Helen Mogun,

Harvard University ; Sebastian Schneeweiss,

Harvard University

3:25 p.m. Targeted Maximum Likelihood Estimation of

Treatment-Specific Survival Curve with Right-

Censored Data and Covariates in Observational

Studies—◆Farid Jamshidian, University of

California, Berkeley; Ori M. Stitelman, University of California, Berkeley ; Alan Hubbard, University of California, Berkeley ; Mark J. van der Laan,

University of California, Berkeley

3:45 p.m. Floor Discussion

21 CC-143C

Building Emulators for Computer Models:

Interface Between Statistics and Applied

Statistics—Topic-Contributed

Section on Physical and Engineering Sciences, Section on

Statistics in Defense and National Security, Section on Quality and Productivity, Interface Foundation of North America

Organizer(s): C.F. Jeff Wu, Georgia Institute of Technology

Chair(s): Ying Hung, Rutgers University

2:05 p.m.

Treed Gaussian Processes for Computer Model

Emulation—◆Herbert Lee, University of California,

Santa Cruz

; Robert B. Gramacy, University of Cambridge

2:25 p.m. A Surrogate-Assisted Method Using Adaptive

Multi-Accurate Function—◆Ray-Bing Chen, National

University of Kaohsiung

; Weichung Wang, National

Taiwan University

; Hsu Chia-Lung, National

University of Kaohsiung

2:45 p.m. G-SELC: Optimization by Sequential Elimination of Level Combinations Using Genetic Algorithms and Gaussian Processes—◆Abhyuday Mandal,

The University of Georgia ; Pritam Ranjan, Acadia

University

; C.F. Jeff Wu, Georgia Institute of Technology

3:05 p.m. Design and Analysis of Computer Experiments with

Grouped Factors—◆Jin Xu, East China Normal

University

; Peter Z.G. Qian, University of

Wisconsin-Madison

Washington, DC 43

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:25 p.m. Nested Latin Hypercube Designs—◆Peter Z.G.

Qian, University of Wisconsin-Madison

3:45 p.m. Floor Discussion

Contributed Sessions

2:00 p.m.–3:50 p.m.

Topic-Contributed Panels

2:00 p.m.–3:50 p.m.

24 CC-203A

Variable Selection and Missing Data Methods for Longitudinal Outcomes—Contributed

Biometrics Section, Section on Bayesian Statistical Science

Chair(s): Daniel F. Heitjan, University of Pennsylvania

22 n

Proposal Writing Workshop for Grant

Applications to the National Science

Foundation—Topic-Contributed

CC-144A

Section on Statistical Education, Section on Government Statistics

Organizer(s): Ginger H. Rowell, National Science Foundation

Chair(s): Pam Arroway, North Carolina State University

Panelists:

Ginger H. Rowell, National Science Foundation

Dan Maki, National Science Foundation

Lee Zia, National Science Foundation

3:45 p.m. Floor Discussion

23 n J

Guiding Young Professionals to Be

Successful in Government, Academia, and Industry—Topic-Contributed

CC-206

Committee on Career Development, Section on Government

Statistics, Section on Survey Research Methods

Organizer(s): Subir Ghosh, University of California, Riverside

Chair(s): Amarjot Kaur, Merck & Co., Inc.

2:05 p.m. Latent Class Joint Model of Ovarian Function

Suppression and DFS for Premenopausal Breast

Cancer Patients—◆Jing (Jenny) Zhang, Harvard

University

; Molin Wang, Dana Farber Cancer

Institute and Harvard University

2:20 p.m. Evaluating Binning for Analyzing Mixed Longitudinal

Data Measured at Distinct Time Points: A Simulation

Study—◆Xiaoqin Xiong, University of Waterloo;

Joel A. Dubin, University of Waterloo

2:35 p.m. Bayesian Inference of Incomplete Longitudinal

Data: A Simple Method to Assess Sensitivity to

Nonignorable Dropout—◆Hui Xie, University of Illinois

2:50 p.m. Exploratory Longitudinal Factor Analysis—

Sherry Lin, University of California, Los Angeles

3:05 p.m.

Variable Selection in Additive Mixed Models for

Longitudinal Data—◆Daowen Zhang, North Carolina

State University

3:20 p.m.

Marginal Methods for the Analysis of Longitudinal

Data Arising in Clusters with Missing Covariates—

Baojiang Chen, University of Washington ; Grace Yi,

University of Waterloo ; Richard Cook, University of

Waterloo

; Xiao-Hua (Andrew) Zhou, University of Washington

3:35 p.m. Floor Discussion

Panelists:

Dean Follmann, National Institute of Allergy and

Infectious Diseases

Nancy Geller, National Heart, Lung, and

Blood Institute

Jagbir Singh, Temple University

Sujit Ghosh, North Carolina State University

Mani Y. Lakshminarayanan, Merck & Co., Inc.

3:45 p.m. Floor Discussion

25 CC-203B

Meta-Analysis, Sensitivity Analysis, and Latent

Variables—Contributed

Biometrics Section, Section on Bayesian Statistical Science

Chair(s): Charles Contant, TIMI Study Group

2:05 p.m. Bayesian Model-Averaging in Meta-Analysis:

Vitamin E Supplementation and Mortality—◆J. Kyle

Wathen, The University of Texas M.D. Anderson

Cancer Center

; Donald A. Berry, The University of

Texas M.D. Anderson Cancer Center

2:20 p.m. Multiple-Outcome Meta-Analysis Methods:

Application to Orthopedics Research—

Yan Ma, Weill Medical College of Cornell

University ; Madhu Mazumdar, Weill Medical

College of Cornell University

44 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:35 p.m. Retrieving Optimal Information from Parallel Data

Using A Mean Coverage Controlled Procedure—

Peter Hu, Merck & Co., Inc.

; Peggy Wong,

Merck & Co., Inc.

2:50 p.m. The Multivariate Linear Path Model Embedded in the Multiple Indicator and Multiple Causes Model—

Youngju Pak, University of Missouri-Columbia

;

Randy L. Carter, State University of New York at Buffalo

3:05 p.m. Sensitivity of Logistic and Log-Linear Models in

Analysis of Case-Mother/Control-Mother Designs—

Jingyuan Yang, The Ohio State University

;

Shili Lin, The Ohio State University

3:20 p.m. Biological Plausibility-Compliance Average Causal

Effect Instead of Per Protocol in the Prevention of

Perinatal Sepsis Randomized Control Trial, South

Africa—◆Elizabeth R. Zell, CDC; Locadiah Kuwanda,

Respiratory and Meningeal Pathogen Research Unit

Donald B. Rubin, Harvard University

3:35 p.m.

Recurrent Marker Process Before an Informative

Failure Event: A Backward Process Model—

Kwun Chuen (Gary) Chan, University of

Washington

; Mei-Cheng Wang, Johns Hopkins

Bloomberg School of Public Health

26 CC-201 n

Bayesian and Adaptive Methods in Clinical

Trials—Contributed

Biopharmaceutical Section, Section on Bayesian

Statistical Science

Chair(s): Eunhee Hwang, Wyeth Research

;

2:05 p.m.

Performance of the Bayesian Bootstrap in Two

Adaptive Clinical Trials—◆Les Huson, Cmed

Research, UK

2:20 p.m.

Bayesian Approaches to Multiple Endpoints—

Kimberly Crimin, Wyeth Research

; Robb

Muirhead, Pfizer Inc.

; Andrew Grieve,

King’s College London

2:35 p.m. A Bayesian Approach for Tailored Therapy—

Haoda Fu, Eli Lilly and Company

2:50 p.m. Interim Treatment Selection with a Flexible Selection

Margin in Clinical Trial—◆Yujun Wu, sanofi-aventis;

Peng-Liang Zhang, sanofi-aventis

3:05 p.m. Bayesian Phase I/II Drug-Combination Trial Design in Oncology—◆Ying Yuan, The University of Texas

M.D. Anderson Cancer Center ; Guosheng Yin, The

University of Texas M.D. Anderson Cancer Center

3:20 p.m. Development of a Statistical Methodology to

Identify Appropriate Historical Controls for Rare

Disease Therapies Using Information Generated from the Peer-Reviewed Scientific Literature—

Jessica (Jeongsook) L. Kim, FDA

; Jean (Chinying)

Wang, FDA

; Charles Maplethorpe, FDA

3:35 p.m.

27

Pseudo Maximum Likelihood Approach for

Multivariate Longitudinal Data Analysis Subject to

Left-Censoring—◆Ghideon Ghebregiorgis, FDA;

Lisa A. Weissfeld, University of Pittsburgh

Biopharmaceutical Section

Chair(s): Phillip Dinh, FDA

CC-102A n

Adaptive Group Sequential Designs in Drug and Vaccine Development—Contributed

2:05 p.m. Performance Evaluation of Some Sequential Testing

Methods with Applications to Vaccine Safety

Monitoring—◆Linmin Gan, Virginia Polytechnic

Institute and State University ; William H. Woodall,

Virginia Polytechnic Institute and State University

;

Jie Chen, Merck & Co., Inc.

2:20 p.m.

Stopping Boundaries of Flexible Sample Size

Design with Flexible Trial Monitoring—◆Yi He, sanofi-aventis

; Zhenming Shun, sanofi-aventis;

Yijia Feng, Penn State University

2:35 p.m. A Group Sequential Design with Potential Futility

Stop and Sample Size Adjustment—◆Xiao J. Sun,

Merck Research Laboratories

; Joshua Chen, Merck

Research Laboratories

; Kuang-Kuo (Gordon) Lan,

Johnson & Johnson PRD

2:50 p.m. Finding Critical Values with Prefixed Early Stopping

Boundaries and Controlled Type I Error for a Two-

Stage Adaptive Design—◆Jingjing Chen, Temple

University

; Sanat Sarkar, Temple University; Frank

Bretz, Norvartis, Switzerland

3:05 p.m. Comparison of the Branching Group Sequential

Design with Frequent Adaptation Methods in an

Equivalence Study—◆Yevgen Tymofyeyev, Merck

& Co., Inc.

; James A. Bolognese, Cytel, Inc.; Keaven

Anderson, Merck & Co., Inc.

3:20 p.m. Implementation Issues of Randomization Schemes for Adaptive Clinical Trials—◆Weili He, Merck & Co.,

Inc.

; Frank (Xiaoyin) Fan, Merck & Co., Inc.; Yevgen

Tymofyeyev, Merck & Co., Inc.

; Olga M. Kuznetsova,

Merck & Co., Inc.

; Vikas Patel, Merck & Co., Inc.

3:35 p.m. Adaptive Dropping Arm Design: Probability

Models and Decision Rules—Yili L. Pritchett,

Abbott Laboratories

; Shu Han, Abbott Laboratories;

Shihua Wen, Abbott Laboratories

Washington, DC 45

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

28

Model Selection Applications—Contributed

ENAR

Chair(s): Guolian Kang, The University of Alabama at Birmingham

2:05 p.m. Finding Sequence Motifs with Bayesian Models

Incorporating Positional Information—◆Nak-Kyeong

Kim, Old Dominion University ; John L. Spouge, The

National Center for Biotechnology Information

2:20 p.m. Analysis of Mediation by Least Squares—

David Reboussin, Wake Forest University

School of Medicine

2:35 p.m. Estimation Approaches for Discretely Observed

Age-Dependent Branching Processes—◆Rui Chen,

University of Rochester Medical Center

; Ollivier

Hyrien, University of Rochester

2:50 p.m. Selecting Variable Selection Methods for

Association Studies—◆Lin Li, Cornell University;

Carlos Bustamante, Cornell University

3:05 p.m. Estimation of Haplotype Effects in Case-Control

Studies via Variable Selection: Prospective vs.

Retrospective Analysis—◆Megan Koehler, North

Carolina State University

; Jung-Ying Tzeng, North

Carolina State University

3:20 p.m. Inconsistent Resampling Methods and

Remedies—◆Mihan C. Giurcanu, University of Louisiana-Lafayette

3:35 p.m. Floor Discussion

29

Miscellaneous Theory I—Contributed

IMS

Chair(s): Runlong Tang, University of Michigan

CC-204A

CC-159A

2:05 p.m. Composition Confidence Intervals Offer Better

Coverage Than the Delta Method—◆Paul Duty,

Montgomery College

; Nancy Flournoy, University of Missouri-Columbia

2:20 p.m.

Confidence Limits and Prediction Limits for a Weibull Distribution Based on the

Generalized Variable Approach—◆Yanping Xia,

Southeast Missouri State University

; Kalimuthu

Krishnamoorthy, University of Louisiana-Lafayette ;

Yin Lin, University of Louisiana-Lafayette

2:35 p.m. Confidence Bounds for Multiplicative

Comparisons—◆John Ennis, The Institute for Perception

2:50 p.m. Data-Based Assessment of Asymptotic Label

Identifiability in Mixture Models—◆Daeyoung Kim,

University of Massachusetts Amherst

; Bruce G.

Lindsay, Penn State University

3:05 p.m. Distributions That Approximately Follow Benford’s and Other Digit Laws—◆Adam Petrie, The

University of Tennessee

3:20 p.m.

Fractals, Multifractals, and Wavelets for Modeling the Data Arising in Experimental Musicology and the Clustering of Musical Performances—

Makarand V. Ratnaparkhi, Wright State University

3:35 p.m. Is Each NPMLE of a Continuous Bivariate

Distribution Function with Singly Right-Censored

Data Really Inconsistent?—◆Qiqing Yu,

Binghamton University ; Chingfu Sen, National

SunYat-sen University

; Jinlong Huang, National

Sun Yat-sen University

; Chinsan Lee, Shu-Te

University of Technology

30

Nonparametric Smoothing—Contributed

CC-157

Section on Nonparametric Statistics

Chair(s): Tom Wehrly, Texas A&M University

2:05 p.m. Spline-Backfitted Kernal Smoothing of Partially

Linear Additive Model—◆Shujie Ma, Michigan State

University

; Lijian Yang, Michigan State University

2:20 p.m. A Multivariate Likelihood-Tuned Density Estimator—

Yeojin Chung, Penn State University

; Bruce G.

Lindsay, Penn State University

2:35 p.m. An Efficient Estimator for an Additive Quantile

Regression Model—◆Dawit Zerom, California

State University, Fullerton

2:50 p.m. Changepoint Distribution Estimation in Animal

Learning Experiments—◆Xiaodong Li, Columbia

University

; Daniel Rabinowitz, Columbia University

3:05 p.m. Nonparametric Test for Changepoint in Variance

Function—◆Kee-Hoon Kang, Hankuk University of Foreign Studies

; Jib Huh, Duksung

Woman’s University

3:20 p.m. Minimum Distance Conditional Variance Function

Checking—◆Weixing Song, Kansas State University;

Nishantha Samarakoon, Kansas State University

3:35 p.m. Multivariate Kernel Smoothing with Unconstrained

Bandwidth Matrices—◆José E. Chacón, Universidad de Extremadura

31

Data Mining in Graphs and Networks—

Contributed

CC-160

Section on Statistical Learning and Data Mining, Interface

Foundation of North America

Chair(s): Xingye Qiao, The University of North Carolina at

Chapel Hill

2:05 p.m.

Multi-Mode Networks—◆Walid Sharabati, Purdue

University

; Yasmin Said, George Mason University;

Edward J. Wegman, George Mason University

46 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:20 p.m. Empirical Stationary Correlations for

Semi-Supervised Learning on Graphs—

Ya Xu, Stanford University

2:35 p.m. Penalized Likelihood Methods for Estimation of Directed Acyclic Graphs with Applications to

Biological Networks—◆Ali Shojaie, University of

Michigan

; George Michailidis, University of Michigan

2:50 p.m. Norm Dependence in Regularized Estimation of

Large Covariance Matrices—◆Iain Johnstone,

3:35 p.m.

32

Stanford University

3:05 p.m. A Bayesian Model of Smoothing and Connectivity for Event-Related fMRI Time Series—◆Wesley K.

Thompson, University of California, San Diego

3:20 p.m. Efficient Large Design Space Exploration and

Prediction in Computer Microarchitectural Study—

Bin Li, Louisiana State University

; Lu Peng,

Louisiana State University

Floor Discussion n

Extreme Values, Censored Data, and

Clustering in Environmental Studies—

Contributed

Section on Statistics and the Environment

Chair(s): Daniel Cooley, Colorado State University

CC-158A

2:05 p.m. A Power Comparison of Generalized Additive

Models and the Spatial Scan Statistic Under Simple

Alternative Hypotheses—◆Robin L. Young, Boston

University School of Public Health

; Janice Weinberg,

Boston University School of Public Health

; Verónica

Vieira, Boston University School of Public Health

;

Thomas F. Webster, Boston University School of

Public Health

2:20 p.m. Significance Testing with the Pareto Set in Cluster

Detection Problems—◆Ronald Gangnon, University of Wisconsin-Madison

2:35 p.m. Statistical Inference for Food Webs/Ecological

Networks via Bayesian Melding—◆Grace

Chiu, University of Waterloo ; Joshua Gould,

Dalhousie University

2:50 p.m. Using Extreme Value Analysis to Predict

Pressurized Equipment Life—Eric Suess,

California State University, Hayward

;

Philip E. Myers, Chevron

3:05 p.m. Survival Modeling Application in Estimating

Response Time for Drinking Water Violation—

Jade Freeman, U.S. Environmental

Protection Agency

3:20 p.m. Environmental Risk Evaluation: A Bayesian

Hierarchical Approach for Extreme Temperature

Over Space and Time—◆Hongfei Li, IBM T. J.

Watson Research Center ; Jonathan Hosking, IBM

Research Division ; Huijing Jiang, Georgia Institute of Technology

3:35 p.m. Floor Discussion

33 CC-144C

Variance Estimation in Complex Surveys—

Contributed

Section on Survey Research Methods

Chair(s): Wendy Barboza, USDA, NASS, RDD

2:05 p.m. Estimated-Control Post-Stratified Variance

Estimators for Proportions—◆Jill A. Dever,

RTI International

; Richard Valliant, University of Michigan

2:20 p.m. Efficacy of Poststratification in Complex Sampling

Designs—◆Ismael Flores Cervantes, Westat, Inc.;

Michael J. Brick, Westat, Inc.

; Mike Jones,

Westat, Inc.

2:35 p.m. Variance Estimation in Complex Surveys with

One PSU per Stratum—◆Harold Mantel, Statistics

Canada ; Suzelle Giroux, Statistics Canada

3:05 p.m. An Investigation of Stratified Jackknife Estimators

Using Simulated Establishment Data Under an

Unequal Probability Sample Design—◆Philip Steel,

U.S. Census Bureau

; Victoria McNerney, U.S. Census

Bureau

; John Slanta, U.S. Census Bureau

3:20 p.m. Developing Guidelines Based on CVs for When

One-Year Estimates Can Be Used Instead of

Three-Year Estimates in the American Community

Survey—◆Michael Ikeda, U.S. Census Bureau

3:20 p.m. Identification of Functional Forms and Predictor

Variables in Generalized Variance Functions for

Price Indexes—◆MoonJung Cho, Bureau of Labor

Statistics

; John L. Eltinge, Bureau of Labor Statistics

3:35 p.m. Evaluating the Asymptotic Limits of the Delete-a-

Group Jackknife for Model Analyses—Phillip S.

Kott, U.S. Department of Agriculture

; ◆Steven T.

Garren, James Madison University

34 CC-208A n

Statistical Methods for Modeling Infectious

Disease Risk—Contributed

Section on Statistics in Epidemiology

Chair(s): Akbar Zaidi, CDC

2:05 p.m. Estimates of US Influenza-Associated Deaths

Calculated from Three Poisson Regression Models for the 1976/77 Through the 2004/05 Seasons—

Hong Zhou, CDC

; William W. Thompson, CDC;

Po-Yung Cheng, CDC

; Cecile Viboud, Fogarty

International Center ; Corinne Ringholz, Fogarty

International Center

; Eric Weintraub, CDC; Joseph

Bresee, CDC

; David K. Shay, CDC

2:20 p.m. Modeling Clinical Symptoms as Predictors for Influenza: A Useful Tool for Primary Care

Providers—◆Hector Lemus, San Diego State

University

; Tabitha Zimmerman, Naval Health

Research Center

Washington, DC 47

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:35 p.m. Using Mathematical Models to Predict the Risk of

Listeriosis—◆Zheng Lu, Virginia Commonwealth

University

; Chunwang Gao, Iowa State University;

Chunwang Gao, Iowa State University

2:50 p.m. Bootstrap Variance and Bias Correction in the

Estimation of HIV Incidence from Surveillance

Data with Testing for Recent Infection—◆Nicole B.

Carnegie, University of Washington

3:05 p.m. Modeling the Incidence of Disease and the Two

Sample Capture-Recapture Procedure—◆Lawrence

Lessner, State University of New York/New York

State Department of Health

3:20 p.m. Application of Robust Regression Models for

Estimating Influenza-Associated Deaths Using the

CDC 122 Cities Mortality Reporting System Data—

Po-Yung Cheng, CDC ; William W. Thompson,

CDC

; Rosaline Dhara, CDC; Al Ozonoff, Boston

University School of Public Health

; Xiaopeng Miao,

Boston University School of Public Health

; Lynnette

Brammer, CDC

; Eric Weintraub, CDC; Lenee

Blanton, CDC ; David K. Shay, CDC

3:35 p.m.

An Application of Generalized Estimating Equations to the Data from Influenza Surveillance in Canada—

Shenghai Zhang, Public Health Agency of Canada

;

Ping Yan, Public Health Agency of Canada

35

Section on Statistics and the Environment

Chair(s): Jarrett Barber, University of Wyoming

CC-158B

Statistical Methods for Modeling Populations in

Ecology—Contributed

2:05 p.m. Acoustic Estimation of Wildlife Abundance:

Methodology for Vocal Mammals in Forested

Habitats—◆Steven J. Schwager, Cornell University;

Mya E. Thompson, Cornell University

; Katharine B.

Payne, Cornell University

2:20 p.m. Joint Modeling of Longitudinal Capture-Recapture and Cross-Sectional Count Data in Wildlife and

Fisheries Disease Studies—◆Matt Ritter,

North Carolina State University

Bringing the ASA to

Washington, DC

Visit the

ASA Booth!

Visit Booth #600 in the exhibit hall to learn about the many programs available to you.

At the ASA booth, you’ll hear about:

Publications –

Flip through the ASA’s journals and magazines or pick up brochures about various ASA programs

Membership –

Ask an ASA staff member questions about the association and its benefits to members

Discover the benefits of membership

48 JSM 2009

Publications –

Flip through the ASA’s journals and magazines or pick up brochures about various ASA programs

Membership –

Ask an ASA staff member questions about the association and its benefits to members

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:35 p.m. Prediction Implications of Nonlinear Mixed-

Effects Forest Biometric Models Estimated with a

Generalized Error Structure—◆Shongming Huang,

Alberta Government

; Shawn X. Meng, Alberta

Government

; Yuqing Yang, Alberta Government

2:50 p.m.

Multinomial Mixture Model with Heterogeneous

Classification Probabilities—◆Mark D. Holland,

The University of Minnesota

; Brian R. Gray, U.S.

Geological Survey

3:05 p.m. Analyzing Ecological Momentary Assessment

Data: Variation Among Subjects in Baseline Event

Rates—◆Benjamin Neustifter, The University of

Georgia ; Stephen L. Rathbun, The University of

Georgia

; Saul Shiffman, University of Pittsburgh

3:20 p.m. Application of Quadratic Entropy in Measuring

Dinosaur Biodiversity—◆Yueqin Zhao, Eastern

Virginia Medical School

; Dayanand N. Naik, Old

Dominion University

3:35 p.m. Floor Discussion

36 CC-153

Modern Computation in Experimental Design and Estimation—Contributed

Section on Statistical Computing, Interface Foundation of

North America

Chair(s): Adam Cardinal-Stakenas, Johns Hopkins University

2:05 p.m.

On the Relative (Small Sample) Performance of

Several Approaches to Confidence Intervals for a Difference in Means—◆John McGready, Johns

Hopkins Bloomberg School of Public Health

2:20 p.m. Simulation-Based Simultaneous Confidence Bands for All Contrasts of Three or More Simple Linear

Regression Models Over an Interval—◆Mortaza

Jamshidian, California State University, Fullerton

;

Wei Liu, University of Southampton

; Frank Bertz,

Novartis Pharma AG

2:35 p.m.

Calculating Standard Error with Parametric

Bootstrapping—◆Anli Lin, Pearson

2:50 p.m. Efficient Experimental Designs Under a Nonlinear

Model for Event-Related fMRI—◆Ming-Hung

Kao, The University of Georgia

; Dibyen Majumdar,

University of Illinois at Chicago

; Abhyuday Mandal,

The University of Georgia ; John Stufken, The

University of Georgia

3:05 p.m. A Computational Algorithm for Searching Optimal

Saturated Two-Level Factorial Designs—Samad A.

Hedayat, University of Illinois at Chicago ; ◆Haiyuan

Zhu, Merck Research Laboratories

3:20 p.m. Uniform Design Over Convex Input Domains with Applications to Computer Experiments—

Ying-Chao Hung, National Central University

;

Shih-Chung Chuang, National Central University

3:35 p.m. Floor Discussion

37 CC-208B n

Bayesian Diagnostics and Dynamic Models—

Contributed

Section on Bayesian Statistical Science

Chair(s): Gilbert Fellingham, Brigham Young University

2:05 p.m. Bayesian Methods for Detecting Influential

Observations When Using the Box-Cox

Transformation—◆Lawrence I. Pettit, Queen Mary

University of London

; Nalaiyini Sothinathan, Queen

Mary University of London

2:20 p.m.

A Bayesian Approach to Detecting Outliers in

Circular Data—◆Karen D.S. Young, University of

Surrey ; Lawrence I. Pettit, Queen Mary University of London

; Nalaiyini Sothinathan, Queen Mary

University of London

2:35 p.m. Detection of Outlying Discrimination Parameters in a Hierarchical IRT Model—◆Sherwin Toribio,

University of Wisconsin-La Crosse

; James Albert,

Bowling Green State University

2:50 p.m. Using Mixtures to Model Outliers in Inter-Laboratory

Studies—◆Garritt L. Page, Iowa State University;

Stephen B. Vardeman, Iowa State University

3:05 p.m.

Dynamic Logistic Regression and Dynamic Model

Averaging for Binary Classification—◆Tyler H.

McCormick, Columbia University

; Adrian E. Raftery,

University of Washington

; David Madigan, Columbia

University ; Randall Burd, Children’s National

Medical Center

3:20 p.m. Fast Bayesian Analysis of Spatial Dynamic Factor

Models—◆Christopher M. Strickland, Queensland

University of Technology

; Daniel Simpson,

Queensland University of Technology

; Ian Turner,

Queensland University of Technology

; Robert

Denham, Department of Natural Resources

; Kerrie

Mengersen, Queensland University of Technology

3:35 p.m. Efficient Bayesian Estimation for a General Dynamic

Mixture Model—◆Christopher K. Carter, University of New South Wales ; Robert J. Kohn, University of

New South Wales

; Paolo Giordani, Sveriges Riksbank

38 CC-142

Labor Markets and Firm Competitiveness—

Contributed

Business and Economic Statistics Section

Chair(s): Matilde Bini, University of Florence

2:05 p.m. A Wavelet Analysis of the Role of Volatility in

Inventories and Sales Growth in the Great

Moderation—◆David J. Doorn, The University of Minnesota-Duluth

2:20 p.m. Does Trade Liberalization Affect Labor Market

Churning?—◆Hugette Sun, Bureau of Labor

Statistics

; Mina Kim, Bureau of Labor Statistics

Washington, DC 49

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:35 p.m. Robust Technological Clusters in Italy—◆Luigi

Biggeri, Italian National Statistical Institute ; Matilde

Bini, University of Florence

; Margherita Velucchi,

Università di Firenze

2:50 p.m. Made in Italy Firms Competitiveness: A Multilevel

Longitudinal Approach—◆Margherita Velucchi,

Università di Firenze

; Matilde Bini, University of

Florence

; Tiziana Laureti, University of Naples

3:05 p.m. Data Analysis of Retail Banking Transactions

Combined with Geographic Information—◆Wenjun

Yin, IBM

; Li Xia, IBM China Research Laboratory;

Ming Xie, IBM China Research Laboratory

; Jin Dong,

IBM China Research Laboratory

3:20 p.m.

Forecasting of Intermittent Demand Series—

Micheal J. Leonard, SAS Institute Inc.

; ◆D. Bruce

Elsheimer, SAS Institute Inc.

3:35 p.m. Floor Discussion

39 n J

Estimation Issues in Surveys of

Employment, Income, Inflation, and

Health-Related Costs—Contributed

Section on Survey Research Methods, Section on

Government Statistics

Chair(s): Art Kendall, Consultant

CC-148

Special Presentation

4:00 p.m.–5:50 p.m.

40 CC-207B

Introductory Overview Lecture: Largely

About Largeness: Models and Views for

High-Dimensional Data—Other

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Wendy Martinez, U.S. Department of Defense

Chair(s): Edward J. Wegman, George Mason University

4:05 p.m.

Before Your Very Eyes: Visually Unraveling the

Mysteries of High-Dimensional Data—

Antony Unwin, Uni Augsburg

4:50 p.m. A Problem That Is Cracking: Methods for Complex,

High-Dimensional Data—◆David Banks,

Duke University

5:35 p.m. Floor Discussion

Invited Sessions 4:00 p.m.–5:50 p.m.

41 CC-144A n

Teaching Bayesian Statistics to Nonstatistics

Graduate Students—Invited

Section on Statistical Education, Section on Bayesian Statistical

Science, Social Statistics Section

Organizer(s): Peter Westfall, Texas Tech University

Chair(s): Joe Fred Gonzalez, Jr., National Center for Health Statistics

2:05 p.m.

Response Analysis Survey: Examining Reasons for Employment Differences Between the Quarterly

Census of Employment and Wages and the Current

Employment Statistics Survey—◆Kristin Fairman,

Bureau of Labor Statistics

; Maggie Applebaum,

Bureau of Labor Statistics

; Polly Phipps, Bureau of Labor Statistics

; Chris Manning, Bureau of

Labor Statistics

2:20 p.m. Application of Piecewise Quadratic Density

Estimator to OES Wage Data—◆Teresa E. Hesley,

Bureau of Labor Statistics ; Martha Duff, Bureau of

Labor Statistics

2:35 p.m. Getting to the Top: Reaching Wealthy Respondents in the SCF—◆Arthur B. Kennickell, Federal

Reserve Board

2:50 p.m.

The Effect of Late-Filed Returns on Population

Estimates: A Comparative Analysis—◆Brian Raub,

IRS

; Cynthia Belmonte, IRS; Paul Arnsberger, IRS;

Melissa Ludlum, IRS

3:05 p.m. An Analysis of e-Commerce and American

Consumers—◆Ephraim Okoro, Howard University;

Mohammad Quasem, Howard University

3:20 p.m. Employment Disability and Health-Related Costs:

The Consumer Expenditure Survey and Other

National Surveys—◆Gary G. Huang, ICF Macro

International

3:35 p.m. An Investigation on Response Rate for Best Survey

Estimates of Inflation Expectations—◆Turknur

Hamsici, Central Bank of The Republic of Turkey

4:05 p.m.

Teaching Bayesian Statistics to Researchers in

Nursing—◆Byron J. Gajewski, The University of Kansas

4:30 p.m.

Teaching Bayesian Statistics to Students in

Epidemiology and Public Health—◆Dalene K.

Stangl, Duke University

4:55 p.m.

Teaching Bayesian Statistics to Marketing and

Business Students—◆Greg Allenby, The Ohio

State University

5:20 p.m.

Evolution of Teaching Bayesian Statistics to

Nonstatisticians: A Case Study—◆Wesley O.

Johnson, University of California, Irvine ; Jessica M.

Utts, University of California, Irvine

5:45 p.m. Floor Discussion

50 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

42 CC-209A n

Recent Advances in the Applications and

Theory of Spline Smoothing—Invited

Section on Nonparametric Statistics

Organizer(s): Lijian Yang, Michigan State University

Chair(s): Lijian Yang, Michigan State University

44 CC-209C n

Recent Computational Advances for

Computer Models Published in JCGS—Invited

JCGS-Journal of Computational and Graphical Statistics, Interface

Foundation of North America

Organizer(s): David A. van Dyk, University of California, Irvine

Chair(s): David A. van Dyk, University of California, Irvine

4:05 p.m. Bilinear Varying-Coefficient Surface Models with an Application to Death Counts—◆Brian D. Marx,

Louisiana State University

4:30 p.m. Simultaneous Confidence Band for Nonlinear

Additive Autoregression Model via Spline-Backfitted

Spline Smoothing—◆Qiongxia Song, Michigan State

University

; Lijian Yang, Michigan State University

4:55 p.m. Simultaneous Confidence Bands for Penalized

Spline Estimators—◆Tatyana Krivobokova,

Georg-August-Universitaet Goettingen

; Thomas

Kneib, Ludwig-Maximilains-Universitaet Muenchen

;

Gerda Claeskens, Katholieke Universiteit Leuven

5:20 p.m.

Disc: Li (Lily) Wang, The University of Georgia

5:40 p.m. Floor Discussion

43

Biopharmaceutical Section, International Chinese Statistical

Association

Organizer(s): Steven Snapinn, Amgen, Inc.

Chair(s): Tom Uryniak, AstraZeneca Pharmaceuticals

CC-102B n

Issues and Challenges in Dichotomizing

Continuous Variables in Clinical Trials—Invited

4:05 p.m.

Fast Statistical Surrogates for Dynamical 3D

Computer Models of Brain Tumor—◆Dorin Drignei,

Oakland University

4:55 p.m. Emulator-Based Model Calibration for

High-Dimensional Data—◆Jonathan Rougier,

University of Bristol

5:45 p.m. Floor Discussion

45

Biometrics Section, Section on Statistics in Epidemiology,

Biopharmaceutical Section, International Indian

Statistical Association

Organizer(s): Samiran Sinha, Texas A&M University

Chair(s): Clifford Spiegelman, Texas A&M University

CC-101 n J

The Issue of High Dimensionality and

Missing Data in Complex Epidemiological

Studies—Invited

4:05 p.m.

Issues and Challenges in Dichotomizing

Continuous Variables in Clinical Trials—◆Qi Jiang,

Amgen, Inc.

; Ivan S.F. Chan, Merck & Co., Inc.

4:30 p.m. The Use of Responder Analyses in Regulatory

Guidance and Professional Society Guidelines—

Leonard Oppenheimer, Johnson & Johnson PRD ;

Zhongxin (John) Zhang, Johnson & Johnson PRD

4:55 p.m. The Impact of Dichotomization on the Power to

Assess a Treatment Effect—Valerii V. Fedorov,

GlaxoSmithKline

; ◆Chi-hse Teng, Amylin

Pharmaceutical Inc.

5:20 p.m. Disc: Lisa M. LaVange, The University of North

Carolina at Chapel Hill

5:40 p.m. Floor Discussion

4:05 p.m.

Estimating and Ranking the Impact of High-

Dimensional Environmental Risk Factors in

Environmental Epidemiology Studies—

Nicholas P. Jewell, University of

California, Berkeley

4:30 p.m. Missing Covariates in Relative Risk Regression with Current Status Data—Zhiguo Li, University of

Michigan

; ◆Bin Nan, University of Michigan

4:55 p.m. Adjusting for Complex Sampling in Cohort

Studies—◆Rebecca Betensky, Harvard School of

Public Health

; Matthew Austin, Harvard School of Public Health

5:20 p.m. The Analysis of Retrospective Family Studies—

John Neuhaus, University of California, San

Francisco ; Alastair Scott, University of Auckland;

Chris Wild, University of Auckland

5:45 p.m. Floor Discussion

Washington, DC 51

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

46 CC-150A

Handling Survey Case Weights in Model-Based

Methods—Invited

Section on Survey Research Methods, Section on Bayesian

Statistical Science, Section on Government Statistics

Organizer(s): Michael Elliott, University of Michigan

Chair(s): Sonya Vartivarian, Mathematica Policy Research, Inc.

48 CC-155 n J

Reconciling Large Systems of Accounts and

Time Series: Methods and Practice—Invited

Business and Economic Statistics Section

Organizer(s): Baoline Chen, Bureau of Economic Analysis

Chair(s): Estela Bee Dagum, University of Bologna

4:05 p.m.

A Modeler’s Perspective on Survey Weights—

Roderick J.A. Little, University of Michigan

4:30 p.m.

Accounting for Complex Sample Designs via

Mixture Models—◆Michael Elliott, University of Michigan

4:55 p.m.

Power-Shrinkage: An Alternative Method for Dealing with Excessive Weights—◆Xiao-Li Meng, Harvard

University

; Naihua Duan, Columbia University;

Chih-nan Chen, Cambridge Health Alliance/Harvard

Medical School

; Margarita Alegria, Harvard

Medical School

5:20 p.m.

Disc: Andrew Gelman, Columbia University

5:40 p.m. Floor Discussion

4:05 p.m. Reconciliation and Balancing of Accounts and

Time Series: From Concepts to a SAS Procedure—

Susie Fortier, Statistics Canada ; Benoit Quenneville,

Statistics Canada

4:35 p.m. The Compilation of European Quarterly Sector

Accounts and Supply, Use, and Input-Output

Tables—◆Roberto Barcellan, European

Commission - Eurostat

5:05 p.m. Reconciling the System of National Accounts for the US and Estimation of Structural Distribution of the Statistical Discrepancy—◆Baoline Chen,

Bureau of Economic Analysis

5:35 p.m. Floor Discussion

47 CC-144B

Data Display for Large Complex Data Sets—

Invited

Section on Statistical Graphics, Section on Statistics and the

Environment, Social Statistics Section, SSC, Section on

Government Statistics, Interface Foundation of North America

Organizer(s): William S. Cleveland, Purdue University

Chair(s): Leland Wilkinson, University of Illinois at Chicago

49 CC-202A n J

Setting Particulate Matter Air Policy

Standards: From Statistical Evidence to

Federal Policy—Invited

Section on Statistics in Epidemiology, Section on Bayesian

Statistical Science, Section on Statistics and the Environment,

Section on Government Statistics

Organizer(s): Brian J. Reich, North Carolina State University

Chair(s): Brian J. Reich, North Carolina State University

4:05 p.m.

Network and System Visualization in Swift-3D and LiveRAC—◆Stephen C. North, AT&T

Labs - Research

; Eleftherios C. Koutsofios,

AT&T Labs - Research

4:35 p.m. Distributed Computing and the Visualization of

Huge Data Sets—◆Lee Edlefsen, REvolution

Computing, Inc.

5:05 p.m. Visualization Databases for the Analysis of Large

Complex Data Sets—◆Saptarshi Guha, Purdue

University ; William S. Cleveland, Purdue University

5:35 p.m. Floor Discussion

4:05 p.m.

Statistical Approaches to Quantifying and Checking the Health Effects of Particulate Air Pollution—

Scott Zeger, Johns Hopkins University

; Francesca

Dominici, Johns Hopkins University

; Roger D. Peng,

Johns Hopkins Bloomberg School of Public Health

4:35 p.m. Spatial-Temporal Association Between

Daily Mortality and Exposure to Ozone and

Particulate Matter Using Geocoded Mortality

Data—◆Montserrat Fuentes, North Carolina State

University

; Eric Kalendra, North Carolina State

University

; Marie Lynn Miranda, Duke University;

Benjamin Strauss, Duke University

4:55 p.m. Meta-Analyses, Multi-City Studies, Risk, and

Benefit-Cost Analyses for the PM NAAQS—

Bryan Hubbell, U.S. Environmental

Protection Agency

5:20 p.m.

Disc: Michelle L. Bell, Yale University

5:40 p.m. Floor Discussion

52 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

50 CC-203A n J

Experiences of Women Statisticians in the

Pharmaceutical Industry, Private Consulting, and University Settings with Special Emphasis on Studies of Women’s Health—Invited

Committee on Women in Statistics, Biopharmaceutical Section,

Social Statistics Section

Organizer(s): Mari Palta, University of Wisconsin-Madison

Chair(s): Marian R. Fisher, University of Wisconsin-Madison

51 CC-204C

Recent Advances in High-Dimensional Sparse

Inference—Invited

ENAR, SSC, Interface Foundation of North America

Organizer(s): Jinchi Lv, University of Southern California

Chair(s): Hui Zou, University of Minnesota

52

Imaging Analysis—Invited

IMS

Organizer(s): Peihua Qiu, The University of Minnesota

Chair(s): Snigdhansu Chatterjee, The University of Minnesota

4:05 p.m.

From a Number Cruncher to Executive

Management—◆Aarti S. Shah, Eli Lilly and Company

4:30 p.m. Innovations in the Field of Drug Development: From

Path Analysis, Benefit-Risk Assessment to Adaptive

Trial Design—◆Yili L. Pritchett, Abbott Laboratories

4:55 p.m. WISE Women and WISE Statisticians—◆Sheryl F.

Kelsey, University of Pittsburgh

5:20 p.m.

Disc: Janet Wittes, Statistics Collaborative, Inc.

5:40 p.m. Floor Discussion

4:05 p.m. Multiscale Adaptive Regression Models for Imaging

Data—◆Hongtu Zhu, The University of North

Carolina at Chapel Hill

; Yimei Li, The University of

North Carolina at Chapel Hill

; Joseph G. Ibrahim,

The University of North Carolina at Chapel Hill

;

Dinggang Shen, The University of North Carolina at Chapel Hill

4:30 p.m.

Blind Image Deblurring Using Jump Regression

Analysis—◆Peihua Qiu, The University of

Minnesota

; Chen Xing, The University of Minnesota

4:55 p.m.

Smoothing Dynamic Positron Emission

Tomography Time Courses Using Functional

Principal Components—◆John Aston, University of Warwick

; Ci-Ren Jiang, University of California,

Davis

; Jane-Ling Wang, University of

California, Davis

5:20 p.m. Computational Functional Anatomy—◆Anqi Qiu,

National University of Singapore

5:45 p.m. Floor Discussion

53

Le Cam Lecture—Invited

IMS, Section on Bayesian Statistical Science

CC-206

CC-207A

Organizer(s): Michael Kosorok, The University of North Carolina at

Chapel Hill

Chair(s): Jon A. Wellner, University of Washington

4:05 p.m. Using the Bootstrap to Quantify the Authority of an

Empirical Ranking—◆Peter G. Hall, The University of Melbourne

4:30 p.m. Penalized Bregman Divergence for Large

Dimensional Regression and Classification—

Chunming Zhang, University of Wisconsin-Madison

4:55 p.m. Large Sample Asymptotics for the Dantzig Selector and Extensions—◆Lee Dicker, Harvard University;

Xihong Lin, Harvard School of Public Health

5:20 p.m. A Unified Approach to Model Selection and Sparse

Recovery Using Regularized Least Squares—

Jinchi Lv, University of Southern California

;

Yingying Fan, University of Southern California

5:45 p.m. Floor Discussion

4:05 p.m.

Some Frequentist Results on Posterior Distributions on Infinite-Dimensional Parameter Spaces—

Aad van der Vaart, Vrije Universiteit Amsterdam

5:30 p.m. Floor Discussion

Washington, DC 53

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Topic-Contributed Sessions

4:00 p.m.–5:50 p.m.

54

Evaluation of Different Biomarker Development

Strategies from a Benefit-Cost Ratio

Perspective—Topic-Contributed

Biometrics Section

CC-102A

Organizer(s): Terry Hyslop, Thomas Jefferson University

Chair(s): Scott W. Keith, Thomas Jefferson University

4:05 p.m. Evaluation of Different Biomarker Development

Strategies from a Benefit-Cost Ratio Perspective—

Yang Song, Merck Research Laboratories ; Cong

Chen, Merck Research Laboratories

4:25 p.m. Dose-Finding Designs in Pediatric Oncology Trials:

Safety and Accuracy Considerations—◆Arzu

Onar-Thomas, St. Jude Children’s Research Hospital

;

Zang Xiong, St. Jude Children’s Research Hospital

4:45 p.m. Theoretical and Practical Application of Traditional and Accelerated Titration (AT) Phase I Clinical

Trial Designs: The Wayne State University

Experience—Elisabeth I. Heath, Karmanos Cancer

Institute

; Patricia M. LoRusso, Karmanos Cancer

Institute

; S. Percy Ivy, National Cancer Institute;

Larry Rubinstein, National Cancer Institute ; Michaele

C. Christian, National Cancer Institute

; ◆Lance K.

Heilbrun, Karmanos Cancer Institute

5:05 p.m. Current Issues in Oncology Drug Development, with a Focus on Phase II Trials—◆Terry Hyslop,

Thomas Jefferson University

; Daniel Sargent, Mayo

Clinic

; Jeremy Taylor, University of Michigan

5:25 p.m. Design of Phase II Cancer Trials for Evaluation of Cytostatic/Cytotoxic Agents—◆Masha

Kocherginsky, The University of Chicago

; Ezra Cohen,

The University of Chicago

; Theodore Karrison, The

University of Chicago

5:45 p.m.

Floor Discussion

Opening

Mixer

Sunday, August 2

8:00 p.m. – 10:30 p.m.

Renaissance Washington, DC, Hotel

Grand Ballroom

Sponsored by

54 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

55

Consortium of Sections Student Paper

Awards—Topic-Contributed

CC-149B

Social Statistics Section, Section on Survey Research Methods,

Section on Government Statistics

Organizer(s): Mansour Fahimi, Marketing Systems Group

Chair(s): Mary Gray, American University

57 n

Advances in the Use of Statistical

Methodology in the Legal Setting—

Topic-Contributed

Section on Government Statistics

Organizer(s): Weiwen Miao, Haverford College

Chair(s): Weiwen Miao, Haverford College

CC-150B

4:05 p.m.

Using Multivariate Spatial Statistics in the Modeling of Rate-Based Diffusion Processes: An Extension and Replication of Cohen and Tita—◆Jeremy R.

Porter, Rice University

4:25 p.m. Extended Bootstrap Bias Corrections with

Application to Multilevel Modeling of Sample Survey

Data Under Informative Sampling—◆Solange T.

Correa, Brazilian Institute of Geography and Statistics

4:45 p.m.

Adaptive Hierarchical Bayes Estimation of

Small-Area Proportions—◆Benmei Liu,

University of Maryland

5:05 p.m. The Prior Selection and Approximations for the

Nested Error Regression Model: Estimation of

Finite Population Mean for Small Areas—◆Santanu

Pramanik, NORC at the University of Chicago

5:45 p.m. Floor Discussion

56 n

Adaptive Dose-Finding Studies—

Topic-Contributed

Biopharmaceutical Section

Organizer(s): Frank Bretz, Norvartis, Switzerland

Chair(s): Christy Chuang-Stein, Pfizer Inc.

CC-202B

4:05 p.m. Robust Peters-Belson–Type Estimators of Measures of Disparity and Their Applications in Employment

Discrimination Cases—◆Hiro Hikawa, The

George Washington University

; Efstathia Bura,

The George Washington University/Vertex

Pharmaceuticals, Inc.

; Joseph L. Gastwirth,

The George Washington University

4:25 p.m.

Advance in the Use of Statistical Methodology in the Legal Setting—◆Thomas H. Cohen, Bureau of Justice Statistics

; Michael D. Sinclair, Bureau of Justice Statistics

4:45 p.m.

How Accurate Are the Power Calculations Relied on by the SEC in Its Regulatory Deliberations?—

Efstathia Bura, The George Washington University/

Vertex Pharmaceuticals, Inc.

; Joseph L. Gastwirth,

The George Washington University

5:05 p.m. Causal Effects of Immutable Characteristics—

D. James Greiner, Harvard Law School

; Donald B.

Rubin, Harvard University

5:25 p.m. Advance in the Use of Statistical Methodology in the Legal Setting—◆William Sabol, Bureau of

Justice Statistics

5:45 p.m. Floor Discussion

4:05 p.m.

Adaptive Dose-Ranging Studies: An Update from the PhRMA Working Group—◆Jose C. Pinheiro,

Novartis Pharmaceuticals

4:25 p.m. Contributions of different design components to the efficiency of an adaptive design in dose ranging studies—◆Vladimir Dragalin, Wyeth Research

4:45 p.m. Response Adaptive Dose-Finding Under Model

Uncertainty—◆Bjoern Bornkamp, Dortmund

University of Technology

5:05 p.m. Adaptive Dose-Ranging Study Design to Balance

Both Clinical and Operational Considerations—

Judith Quinlan, Cytel, Inc.

5:25 p.m. Disc: Sue-Jane Wang, FDA

5:45 p.m. Floor Discussion

58 CC-143C n J

Statistical Topics in the Defense Industry—

Topic-Contributed

Section on Statistics in Defense and National Security, Section on

Government Statistics

Organizer(s): Myron J. Katzoff, National Center for Health Statistics

Chair(s): Allan T. Mense, Raytheon Missile Systems

4:05 p.m.

Adaptive Design for Bio/Chem Detector Test and Evaluation—◆C. Shane Reese,

Brigham Young University

4:25 p.m. Families Under Stress: An assessment of data on marriage and divorce in the Military—◆Beth Ann

Griffin, RAND Corporation

; John S. Crown, RAND

Corporation ; Benjamin R. Karney, University of

California, Los Angeles

4:45 p.m. Optimal Experimental Designs for Accelerated

Life Tests with Censoring and Constraints—

Eric Monroe, Intel Corporation

5:05 p.m. Design and Analysis of Binary Output Computer

Validation Experiments—◆Patrick S. Chapin, Iowa

State University

Washington, DC 55

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

5:25 p.m. Fitting Univariate Probability Density Functions to

Small Data Sets—◆Jerry L. Alderman, Raytheon

Missile Systems

; William C. Thomas, Raytheon

Missile Systems

5:45 p.m. Floor Discussion

59 CC-209B n J

New Research in Spatial and Environmental

Statistics—Topic-Contributed

Section on Statistics and the Environment, Section on Bayesian

Statistical Science

Organizer(s): Stephan R. Sain, National Center for

Atmospheric Research

Chair(s): Reinhard Furrer, Colorado School of Mines

4:05 p.m.

Fast Calibration of Complex Computer Models—

Matthew T. Pratola, Simon Fraser University

;

Stephan R. Sain, National Center for Atmospheric

Research

; Derek Bingham, Simon Fraser University

4:25 p.m. Hierarchical Spatial Random Effects Model for High-

Resolution Data from Regional Climate Models—

Emily Lei Kang, The Ohio State University

; Noel A.

Cressie, The Ohio State University

; Stephan R. Sain,

National Center for Atmospheric Research

4:45 p.m. Spatial Temporal Data Analysis via Reproducing

Kernel Regularization—◆Javier González

Hernández, Universidad Carlos III de Madrid ;

Alberto Muñoz García, Universidad Carlos III de Madrid

; Stephan R. Sain, National Center for

Atmospheric Research

5:05 p.m. Putting Citizen Science to Work: Hierarchical

Modeling, Data Mining, High-Dimensional MCMC, and the eBird Database—◆Benjamin Shaby,

Cornell University

5:25 p.m. Joint Inference for Multivariate Climate Model

Data—◆Steven Geinitz, Colorado School of Mines;

Reinhard Furrer, Colorado School of Mines

5:45 p.m. Floor Discussion

60 CC-149A n

Overview of Recent Statistical and

Methodological Research in the Medical

Expenditure Panel Survey (MEPS)—

Topic-Contributed

Section on Survey Research Methods, Section on

Government Statistics

Organizer(s): Trena M. Ezzati-Rice, Agency for Healthcare Research and Quality

Chair(s): Trena M. Ezzati-Rice, Agency for Healthcare Research and Quality

4:05 p.m.

Investigation of Alternative Sampling Procedures for the Medical Expenditure Panel Survey—Robert M.

Baskin, Agency for Healthcare Research and Quality

;

Steven Machlin, Agency for Healthcare Research and Quality

; William Yu, Agency for Healthcare

Research and Quality

4:25 p.m.

Evaluation of Design Effects for Selected Estimates in the Medical Expenditure Panel Survey—◆David

Kashihara, Agency for Healthcare Research and

Quality

; Marc Zodet, Agency for Healthcare

Research and Quality

4:45 p.m. Assessment and Evaluation of Nonresponse

Error in the Medical Expenditure Panel Survey—

Lap-Ming Wun, Agency for Healthcare Research and Quality ; Trena M. Ezzati-Rice, Agency for

Healthcare Research and Quality

; David Kashihara,

Agency for Healthcare Research and Quality

5:05 p.m. Event Reporting in the Medical Expenditure Panel

Survey (MEPS) by Event Type—◆Frederick Rohde,

Agency for Healthcare Research and Quality

5:25 p.m. Comparison of Fractional Weighted Imputation and

Multiple Imputations for Inpatient Hospital Care

Expenditures in the Medical Expenditure Panel

Survey—◆Robert M. Baskin, Agency for Healthcare

Research and Quality

; Robert E. Fay, Westat,

Inc.

; Trena M. Ezzati-Rice, Agency for Healthcare

Research and Quality

5:45 p.m.

Floor Discussion

61 CC-158B

J

Recent Advances in Bayesian Methods in

Spatio-Temporal Models—Topic-Contributed

Section on Bayesian Statistical Science

Organizer(s): Ananda Majumadar, Arizona State University

Chair(s): Dipak K. Dey, University of Connecticut

4:05 p.m. Mapping Health Data Using ZIP Code in a

Spatial-Temporally Misaligned Setting—

Li Zhu, Texas A&M Health Science Center

;

Lance A. Waller, Emory University

56 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

4:25 p.m. Kernel-Based Models for Space-Time Data—

Catherine Calder, The Ohio State University

;

Tao Shi, The Ohio State University

; Candace Berrett,

The Ohio State University

4:45 p.m. Using Stochastic Differential Equations in

Spatio-Temporal Modeling—◆Gavino Puggioni,

The University of North Carolina at Chapel Hill ;

Alan E. Gelfand, Duke University

5:05 p.m. Inferring Likelihoods and Climate System

Characteristics from Climate Models and

Spatio-Temporal Tracer Data—◆K. Sham Bhat,

Penn State University

; Murali Haran, Penn State

University

; Klaus Keller, Penn State University;

Roman Tonkonojenkov, Penn State University

5:25 p.m. A Generalized Convolution Model for Multivariate

Nonstationary Spatial Processes—◆Anandamayee

Majumdar, Arizona State University

; Debashis Paul,

University of California, Davis ; Dianne Bautista, The

Ohio State University

5:45 p.m. Floor Discussion

62 CC-158A n

Student Paper Competition: Bayesian

Modeling and Posterior Consistency—

Topic-Contributed

Section on Bayesian Statistical Science

Organizer(s): Michael J. Daniels, University of Florida

Chair(s): Veera Baladandayuthapani, The University of Texas M.D.

Anderson Cancer Center

63 CC-157

Multivariate Statistical Methods for Business

Cycle Analysis—Topic-Contributed

Business and Economic Statistics Section

Organizer(s): Gian Luigi Mazzi, Eurostat

Chair(s): Pablo M. Pincheira, Central Bank of Chile

4:05 p.m. A Joint Dynamic Bi-Factor Model of the Yield

Curve and the Economy as a Predictor of Business

Cycles—Marcelle Chauvet, University of California,

Riverside

; ◆Zeynep Senyuz, University of

New Hampshire

4:25 p.m. Are There Common Upswings and Downswings

Between NAFTA Countries?—◆Shushanik

Papanyan, The University of Texas at Arlington

4:45 p.m. Obtaining Early Signals About US Recessions:

An Application of a New and Efficient Multivariate

Real-Time Filter—◆Marc Wildi, Institute of Data

Analysis and Process Design

5:05 p.m.

Structural VAR-Based Estimates of the Euro Area

Output Gap: Theoretical Considerations and

Empirical Evidences—◆Gian Luigi Mazzi, Eurostat;

James Mitchell, National Institute of Economic and

Social Research ; Filippo Moauro, Eurostat

5:25 p.m. Floor Discussion

Contributed Sessions

4:00 p.m.–5:50 p.m.

4:05 p.m.

Bayesian Uncertainty Quantification for Flows in

Heterogeneous Subsurfaces Using Multiscale,

Multidimensional Models—◆Anirban Mondal,

Texas A&M University

; Bani K. Mallick, Texas A&M

University

; Yalchin Efendiev, Texas A&M University;

Akhil Datta-Gupta, Texas A&M University

4:25 p.m. Benchmarking Finite Population Means

Using a Bayesian Regression (Student Paper

Competitions)—◆Ma Criselda S. Toto, Worcester

Polytechnic Institute ; Balgobin Nandram, Medical

College of Georgia

4:45 p.m.

Bayesian Changepoint Analysis with Application to Atomic Force Microscopy and Soft Material

Indentation—◆Daniel Rudoy, Harvard University

5:05 p.m.

Bayesian Inference on Dependence in Multivariate

Longitudinal Data—◆Hongxia Yang, Duke

University

; David Dunson, Duke University

5:25 p.m.

Posterior Consistency for Some Semiparametric

Problems—◆Yuefeng Wu, North Carolina

State University

5:45 p.m. Floor Discussion

64

Survival Analysis and Joint Modeling—

Contributed

CC-204B

Biometrics Section

Chair(s): Mary Sammel, University of Pennsylvania

4:05 p.m. Jointly Modeling Multiple Longitudinal

Measurements and Time-to-Event Data—◆Paul S.

Albert, National Cancer Institute ; Joanna H. Shih,

National Cancer Institute

4:20 p.m. A Comparison of MMRM and Other Methods for

Handling Dropouts in a Cystic Fibrosis Clinical

Trial—◆Tao Song, Vertex Pharmaceuticals, Inc.;

Abdul J. Sankoh, Vertex Pharmaceuticals, Inc.

;

Qunming Dong, Vertex Pharmaceuticals, Inc.

;

Cynthia M. DeSouza, Vertex Pharmaceuticals, Inc.

4:35 p.m. Simulation Study of a Joint Modeling Approach to

Assess the Potential Effect of Biomarker Variability on Clinical Outcomes—◆Feng Gao, Washington

University in St. Louis ; Philip Miller, Washington

University in St. Louis

; Mae Gordon, Washington

University in St. Louis

; Chengjie Xiong,

Washington University

Washington, DC 57

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

4:50 p.m. Frailty Models with Nonparametric Additive

Covariate Functions—◆Zhangsheng Yu, Indiana

University School of Medicine

; Xihong Lin, Harvard

School of Public Health

5:05 p.m. Simultaneous Analysis of Survival Time with Cox

Proportional Hazards Model and Longitudinal

Outcomes with Generalized Linear Mixed Model—

Jaeun Choi, The University of North Carolina at

Chapel Hill

; Jianwen Cai, The University of North

Carolina at Chapel Hill ; Donglin Zeng, The University of North Carolina at Chapel Hill

5:20 p.m. A Comparison of Multiple Imputation and Inverse

Probability Weighted Estimation for Survival

Analysis with Missing Covariates—Lihong Qi,

University of California, Davis

; ◆Ying-Fang Wang,

University of California, Davis

; Yulei He, Harvard

Medical School

5:35 p.m. Longitudinal Bayesian Analysis of Self-Reported

Noisy Count Data—◆Jihey Lee, University of

California, Los Angeles

; Robert E. Weiss, University of California, Los Angeles

65

General Methodology I—Contributed

Biometrics Section

CC-204A

Chair(s): James Godbold, Mount Sinai School of Medicine

66

Miscellaneous Theory II—Contributed

IMS

Chair(s): Frank Jian Guo, University of Michigan

CC-208A

4:05 p.m. Stirling’s Formula and Its Extensions: Heuristic

Approaches—◆Debanjan Bhattacharjee,

University of Connecticut

4:20 p.m. On Hilbert C*-module-Valued Random Variables—

Khalil Shafie, University of Northern Colorado

4:35 p.m. Robust Improper ML for Finite Location-Scale

Mixtures—◆Pietro Coretto, University of Salerno;

Christian Hennig, University College London

4:50 p.m. Modeling Nonhomogeneous Poisson Process with a Periodic or Almost Periodic Intensity Function—

Nan Shao, University of California, Riverside ;

Keh-Shin Lii, University of California, Riverside

5:05 p.m. Polya Processes with Random Additions: The

Geometric Case—◆Srinivasan Balaji, The George

Washington University

5:20 p.m.

Time Series Central Mean Subspace—◆Jin-Hong

Park, College of Charleston

5:35 p.m. On the Transmuted Weibull Probability

Distribution—◆Gokarna R. Aryal, Purdue

University Calumet

4:05 p.m. Causal Effect Model Using Matching Methods in

Fisher’s Experiment Design and Rubin’s Causal

Model with Small Participants in a Control Group in

Quasi-Experimental Data—◆Gideon D. Bahn, Loyola

University Chicago

; Kathleen Ruroede, Marianjoy

Wheaton Franciscan Healthcare

4:20 p.m. Hypothesis Testing for Equivalence Defined on

Symmetric Open Intervals—◆Daniel M. Ennis, The

Institute for Perception

; John Ennis, The Institute for Perception

4:35 p.m. Asymptotic and Approximate Distributions of

Quadratic Form Statistics for Multilocus Association

Test—◆Liping Tong, Loyola University Chicago

4:50 p.m.

Composite Likelihood in Haplotype Sequence

Data—Bruce G. Lindsay, Penn State University;

Jianping Sun, Penn State University

5:05 p.m.

Fiducial Inference for a Function of Parameters:

Binomial and Poisson Cases—◆Meesook Lee,

University of Louisiana-Lafayette

; Kalimuthu

Krishnamoorthy, University of Louisiana-Lafayette

5:20 p.m. Confidence Regions for Parameters of Linear

Models—◆Andrew Rukhin, National Institute of

Standards and Technology

5:35 p.m. All-Pairwise Comparisons Under Unequal Error

Variances—◆Hong Li, Bowling Green

State University

67

International Chinese Statistical Association

Chair(s): Zhaohai Li, The George Washington University

CC-143A n

Statistics and Its Interface—Contributed

4:05 p.m. Optimal Two-Stage Sequential Design for

Case-Control Genetic Association Studies—

Lihan K. Yan, The George Washington University

;

Aiyi Liu, National Institute of Child Health and

Human Development

; Zhaohai Li, The George

Washington University

; Gang Zheng, National

Heart, Lung, and Blood Institute

4:20 p.m.

Estimation of Lifetime Distribution When Censoring

Is Missing—◆Jiantian Wang, Kean University

4:35 p.m. China in the World Economy: Dynamic Correlation

Analysis of Business Cycles—◆Jarko Fidrmuc,

University of Munich

; Iikka Korhonen, Bank of Finland

; Ivana Batorova, Comenius

University Bratislava

4:50 p.m. How Is Randomization Going in China?—

Wei Li, Peking Union Medical College

5:05 p.m. The Information in One Prior Relative to Another—

Gun Ho Jang, University of Toronto

; Michael

Evans, University of Toronto

5:20 p.m. Application of Bayesian Statistics in Medical Device

Clinical Trials—◆Tao Xu, Peking Union Medical

College

; Wei Li, Peking Union Medical College

5:35 p.m. Floor Discussion

58 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

68

Nonparametric Methods Based on the

Bootstrap—Contributed

Section on Nonparametric Statistics

CC-208B

Chair(s): Soumendra N. Lahiri, Texas A&M University

4:05 p.m. On the Estimation of Nonparametric Correlation

Coefficients for Clustered Data—◆Allison M. Deal,

The University of North Carolina at Chapel Hill

;

Haitao Chu, The University of North Carolina at

Chapel Hill ; Bert O’Neil, The University of North

Carolina at Chapel Hill

4:20 p.m. Assessment of Uncertainty of Nonparametric

Median Regression Estimators with Applications to

Protein Lysate Arrays—◆Xingdong Feng, University of Illinois at Urbana-Champaign

; Xuming He,

University of Illinois at Urbana-Champaign

;

Jianhua Hu, The University of Texas M.D.

Anderson Cancer Center

4:35 p.m. Observed Confidence Levels for Principal

Component Analysis—◆Alan M. Polansky,

Northern Illinois University

4:50 p.m. The Kernel Reweighting Bootstrap for Spatial

Processes—◆Kristofer Jennings, Purdue University

5:05 p.m. Estimation of Shift Based on Smoothed

Kolmogorov-Smirnov Statistics—◆Feridun Tasdan,

Western Illinois University

5:20 p.m. Saddlepoint-Based Bootstrap Inference About

Smoothing Parameters in Nonparametric and

Semiparametric Spline Models—◆Robert Paige,

Missouri University of Science and Technology ;

Alex Trindade, Texas Tech University

5:35 p.m. Floor Discussion

4:35 p.m. On the Importance and Measurement of Pre-Service

Teachers’ Efficacy to Teach Statistics: Results and Lessons Learned from the Development and

Testing of a GAISE-Based Instrument—◆Rebecca

L. Pierce, Ball State University ; Leigh M. Harrell,

Virginia Polytechnic Institute and State University

;

Alejandra Sorto, Texas State University

; Teri J.

Murphy, Northern Kentucky University

; Felicity

B. Enders, Mayo Clinic ; Lawrence M. Lesser, The

University of Texas at El Paso ; Randall E. Groth,

Salisbury University

4:50 p.m. Statistical Education: Same Challenge, Different

Perspective—◆Alan Albright, University of Memphis

5:05 p.m.

Honors Introductory Statistics with

Student-Led Seminars—◆Nancy Pfenning,

University of Pittsburgh

5:20 p.m. Telling the Story to Learn the Statistics—

A. John Bailer, Miami University ; Richard

Campbell, Miami University

5:35 p.m. Automated Individual Student Assessment

System—◆Stanislav Kolenikov, University of

Missouri-Columbia

70 CC-160

Advances in Marketing Research Methods—

Contributed

Section on Statistics and Marketing

Chair(s): Ty Henderson, The University of Texas at Austin

69

Assessing Students—Contributed

Section on Statistical Education

Chair(s): Soma Roy, Cal Poly

CC-143B

4:05 p.m. A Discussion of Open-Book and Closed-Book

Exams on Student Achievement in an Introductory

Probability and Statistics Course—◆Robert M.

Block, U.S. Air Force Academy

4:20 p.m. Does Learning to Think Statistically = Learning to

Confront Ambiguity? Evidence from Two Schools—

Robert H. Carver, Stonehill College ; Carolyn P.

Dobler, Gustavus Adolphus College

4:05 p.m. Predictive Model Evaluation: Basic rules for the marketer—◆Sam Koslowsky, Harte Hanks

4:20 p.m.

Identification and Isolation of Scale Usage Effects in Segmentation Analyses—◆Frank Hedler,

MarketTools

; Norbert Wirth, MarketTools; Dimitri

Liakhovitski, MarketTools

4:35 p.m. Implicit Regression Modeling in Supercritical

Pitchfork Bifurcation Approach—◆Stan Lipovetsky,

GfK Custom Research North America

4:50 p.m. Direct-Marketing Models Based on Unknowingly

Biased Campaign Files—◆Hye-Kyoung Kim,

Intellidyn Corp.

; Dmitri V. Kuznetsov,

Intellidyn Corp.

5:05 p.m. Estimating the Customer’s Wallet: An Empirical

Bayes Approach—◆Siu-Tong Au, AT&T Labs -

Research

; Changxuan Mao, AT&T Labs - Research

5:35 p.m. Floor Discussion

Washington, DC 59

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

71 CC-144C

Data Confidentiality, Data Frames, and Variance

Estimates—Contributed

Section on Survey Research Methods

Chair(s): Frank Potter, Mathematica Policy Research, Inc.

4:05 p.m. Toward Quantifying Disclosure Risk for Area-Level

Tables When Public Microdata Exists—◆Tom

Krenzke, Westat, Inc.

; David Hubble, Westat, Inc.

4:20 p.m. Measures of Data Utility for Complex Survey

Data—◆Kyu-Seong Kim, University of Seoul

4:35 p.m.

Investigation of Variance Properties of Noise-

Infused Estimates for the Survey of Business

Owners—◆Irene Brown, U.S. Census Bureau;

Marilyn Balogh, U.S. Census Bureau

; Anthony

Caruso, U.S. Census Bureau

; Beth Schlein, U.S.

Census Bureau ; Katherine J. Thompson, U.S.

Census Bureau

4:50 p.m. Data and Metadata from the Terminological

Perspective—◆Daniel W. Gillman, Bureau of

Labor Statistics

; Frank Farance, Farance Inc.

5:05 p.m. GeoFrameTM: A Technological Advancement in

Field Enumeration (Part 2)—◆Joseph P. McMichael,

RTI International

; Brian Evans, RTI International;

Leslie Athey, RTI International

5:20 p.m. General Discrete-Data Modeling Methods for Producing Synthetic Data with Reduced

Reidentification Risk That Preserve Analytic

Properties—◆William E. Winkler, U.S.

Census Bureau

5:35 p.m. Floor Discussion

72 CC-142

Recent Advances in Computational Statistical

Modeling—Contributed

Section on Statistical Computing, Section on Bayesian Statistical

Science, Interface Foundation of North America

Chair(s): Jarad Niemi, Duke University

4:05 p.m.

RE-EM Trees: A New Data Mining Approach to

Longitudinal Data—◆Rebecca J. Sela, New York

University

; Jeffrey S. Simonoff, New York University

4:20 p.m. Wrapped Around KS--Type Statistics—◆Huiyu

Qian, Lehigh University ; Wei-Min Huang, Lehigh

University

; Bennett Eisenberg, Lehigh University

4:35 p.m. Distribution of Clump Statistics for a Collection of

Words—◆Deidra A. Coleman, North Carolina State

University

; Donald E.K. Martin, North Carolina

State University

4:50 p.m. Random Hypergraph Projection for Text

Processing—◆Elizabeth L. Hohman, Naval Surface

Warfare Center

; David Marchette, Naval Surface

Warfare Center

5:05 p.m. An Efficient Computational Tool to Detect

Genotyping Errors in an Arbitrary Complex

Pedigree—◆Lan Zhu, Oklahoma State University

5:20 p.m. A Dirichlet Process Model for Changes in the fMRI

Visual Field Map—◆Raymond G. Hoffmann, Medical

College of Wisconsin

; Pippa Simpson, Medical

College of Wisconsin

; Daniel B. Rowe, Medical

College of Wisconsin

5:35 p.m. Floor Discussion

73 n J

Harmful Substances—Contributed

Section on Risk Analysis

Chair(s): Aleka Kapatou, Consultant

4:05 p.m.

4:20 p.m.

4:35 p.m.

4:50 p.m. Comparison of Methods to Predict Radiation

5:05 p.m. Analysis of Risks and Benefits of Malaria Antibody

Testing of Blood Donations in the United States—

Hong Yang, FDA

; Mark O. Walderhaug, FDA;

Richard A. Forshee, FDA ; Steven A. Anderson, FDA

5:20 p.m. Stable Isotope Sourcing Using Sampling—◆Erik B.

Erhardt, University of New Mexico

; Edward Bedrick,

University of New Mexico

5:35 p.m. Inference Concerning the Negative Binomial

Dispersion Parameter with Applications to Tumor

Data—◆Krishna K. Saha, Central Connecticut State

University ; Sudhir R. Paul, University of Windsor

74 CC-141 n

Applications and Case Studies—Contributed

Section on Physical and Engineering Sciences, Section on Quality and Productivity, Section on Quality and Productivity

Chair(s): Jennifer Van Mullekom, DuPont

4:05 p.m.

Begum, Ball State University

California, Los Angeles

Virginia Commonwealth University

CC-153

On the Identifiability Issues in Physiologically-

Based Toxicokinetics (PBTK) Models—◆Munni

Decomposition Techniques in the Application of

Pesticide Exposure—◆David Diez, University of

Bayesian Approaches for Simultaneous Estimation of BMD with Multiple Chemicals and Multiple

Endpoints—◆Epiphanie Nyirabahizi, Virginia

Commonwealth University

; Edward L. Boone,

Virginia Commonwealth University

; Chris Gennings,

Dose—◆Sally W. Thurston, University of Rochester;

Jacqueline P. Williams, University of Rochester

Stochastic Analysis and Characterization of Roller

Measurement Values in a Test Bed—◆Daniel

Heersink, Colorado School of Mines

60 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

4:20 p.m. Using Haar Wavelets and Order Recurrence Plots

(ORPs) to Statistically Assess Gait Fatigue—

Kristin D. Morgan, Virginia Commonwealth

University

; Carolyn B. Morgan, Hampton University;

Peter Pidcoe, Virginia Commonwealth University

;

Morris H. Morgan, Hampton University

4:35 p.m. Testing the Equality of Regression Coefficients

Under Multicollinearity—◆Fransell C. Riley, The

University of Texas at Arlington

; Chien-Pai Han,

The University of Texas at Arlington

4:50 p.m. Inference and Diagnostics in Nonlinear

Structural Equation Models with Applications in

Neuroimaging—◆Klaus K. Holst, University of

Copenhagen

; Esben Budtz-Jørgensen, University of Copenhagen

5:05 p.m. Optimal Monitoring Design for Computer Network

Traffic—◆Joel Vaughan, University of Michigan;

George Michailidis, University of Michigan

; Stilian

Stoev, University of Michigan

5:20 p.m.

A Bayesian Model for Assessment of Sulfur in Diesel Fuel at Ultra-Low Levels—◆William

F. Guthrie, National Institute of Standards and

Technology

; W. Robert Kelly, National Institute of Standards and Technology

5:35 p.m. A Risk-Adjusted O-E CUSUM with a V-Mask for Monitoring Medical Outcomes—◆Rena Jie

Sun, University of Michigan

; John D. Kalbfleisch,

University of Michigan

75

Section on Health Policy Statistics

Chair(s): Yulei He, Harvard Medical School

CC-148

Applications in Clustered Data, Risk

Assessment, and Health Surveys—Contributed

4:05 p.m. Analysis of Dyadic Data—◆Joseph C. Cappelleri,

Pfizer Inc.

4:20 p.m. Power Analysis of Cutoff-Based Designs for

Group Randomized Trials—◆Michael Pennell,

The Ohio State University

; Erinn Hade, The Ohio

State University

; David M. Murray, The Ohio State

University ; Dale Rhoda, Battelle Memorial Institute

4:35 p.m. A History of Supplements on the National Health

Interview Survey—◆Brenda LaRochelle, CDC;

Susan Jack, National Center for Health Statistics

Washington, DC 61

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

4:50 p.m. A Model of the Potential Benefit of C-Reactive

Protein Measurement in Primary Prevention for

Men and Women with Intermediate Risk of Ten-Year

First Coronary Heart Disease Events—◆Rongwei

(Rochelle) Fu, Oregon Health & Science University ;

Craig Fleming, Oregon Health & Science University

;

Michele Freeman, Oregon Health & Science

University

; David Buckley, Oregon Health &

Science University ; Mark Helfand, Oregon

Health & Science University

5:05 p.m. A Comparison of Tree-Based Methods with Logistic

Regression to Classify Cardiovascular Disease

Risk—◆Layla Parast, Harvard University;

Latha Palaniappan, Palo Alto Medical Foundation

;

Helena Kraemer, Stanford University

; Michael

Pencina, Boston University

; Ralph D’Agostino,

Boston University

5:20 p.m.

Effect of Electronic Prescribing on Medication

Error Rates: A Comparison of Poisson Regression

Methods—◆Yolanda Barrón, Weill Medical College of Cornell University ; Lisa Kern, Weill Medical

College of Cornell University

; Erika Abramson,

Weill Medical College of Cornell University

; Alison

Edwards

; Rainu Kaushal, Weill Medical College of

Cornell University

5:35 p.m. Different Models in Analyzing Correlated Binary

Outcomes and the Impact on Power—◆Qing Pan,

The George Washington University

76 n

Bayesian Biostatistics—Contributed

Section on Bayesian Statistical Science

CC-159B

Chair(s): Robin Jeffries, University of California, Los Angeles

4:05 p.m. A Bayesian Generalized Non-Linear Predictive

Model of Treatment Efficacy Using qMRI—

Jincao Wu, University of Michigan

; Timothy D.

Johnson, University of Michigan

4:20 p.m.

fMRI Meta-Analysis via Bayesian Spatial Point

Processes—◆Jian Kang, University of Michigan;

Timothy D. Johnson, University of Michigan ;

Thomas E. Nichols, GlaxoSmithKline

; Tor D. Wager,

Columbia University

4:35 p.m. Bayesian Prescribing Model for Cox-2 Selective

NSAIDS—◆Margaret R. Stedman, Brigham and

Women’s Hospital

; M. Alan Brookhart, Brigham and

Women’s Hospital/Harvard Medical School

4:50 p.m. Estimating and Projecting Trends in HIV/AIDS

Generalized Epidemics Using Incremental Mixture

Importance Sampling—◆Le Bao, University of Washington

; Adrian E. Raftery, University of Washington

5:05 p.m. Identify Misspecified Gestational Ages in Pre-Term

Babies with Bayesian Mixture Models—◆Guangyu

Zhang, University of Maryland

; Jennifer D. Parker,

National Center for Health Statistics

; Nathaniel

Schenker, National Center for Health Statistics

;

Dan Liao, University of Maryland

; Hoda Hammad,

University of Maryland

5:20 p.m.

Combining Inexactly-Matched Data Sets to Analyze

End-of-Life Medical Costs—◆Roee Gutman,

Harvard University ; Alan M. Zaslavsky, Harvard

Medical School

5:35 p.m. Dose-Finding in Phase I Clinical Trials with Logistic

Joinpoint Regression—◆Ling Lan, Medical College of Georgia

; Grzegorz A. Rempala, Medical College of Georgia

77 n

Bayesian Theory—Contributed

Section on Bayesian Statistical Science

Biopharmaceutical Section

Chair(s): Ilya A. Lipkovich, Eli Lilly and Company

CC-159A

Chair(s): Scotland Leman, Virginia Polytechnic Institute and

State University

4:05 p.m. Adaptive Bayesian Oracle Projection Estimation and

Oracle Projection Convergence Rate of Posterior

Distribution—◆Eduard Belitser, Utrecht University

4:20 p.m. Neutral Noninformative and Informative Gamma,

Beta, and Dirichlet Conjugate Priors—◆Jouni

Kerman, Novartis Pharma AG

4:35 p.m. A Bayesian Approach to Population Parameter

Orderings—◆Feiyi Jia, MED Institute; Gary C.

McDonald, Oakland University

4:50 p.m. Simulation Pseudo-Bias Correction to the Harmonic

Mean Estimator of Integrated Likelihoods—◆Peter

Lenk, University of Michigan

5:05 p.m. Bayesian Analysis of Vector Spline Smoothing—

Shawn Ni, University of Missouri

; Dongchu Sun,

University of Missouri

5:20 p.m. Asymptotic Confidence Intervals in Ridge

Regression—◆Luis Firinguetti, Universidad del Bío

Bío

; Gladys Bobadilla, Univesridad de Santiago

5:35 p.m. Floor Discussion

78 CC-203B

Various Topics in Clinical Trials—Contributed

4:05 p.m. Dose Reduction Profiles for Combination Drug

Studies—◆John J. Peterson, GlaxoSmithKline

4:20 p.m. Assessing the Similarity of Bioanalytical Methods—

Jason Liao, Merck Research Laboratories

Washington, DC 63

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

4:35 p.m. Testing the Stochastic Ordering of Discrete

Distributions—◆Myron N. Chang, University of Florida

4:50 p.m. Constrain Estimate of Intracluster Correlation for

Clustered Binary Data—◆Hrishikesh Chakraborty,

RTI International

; Pranab Sen, The University of

North Carolina at Chapel Hill

5:05 p.m. Extension of the Beta-Binomial Model for Cluster

Randomized Trials When Adjusting for Baseline—

Pamela A. Ohman Strickland, University of

Medicine and Dentistry of New Jersey

5:20 p.m. Shelf Life Determination with Common Intercept—

Roswitha E. Kelly, FDA

; Jinglin Zhong, FDA;

Meiyu Shen, FDA

5:35 p.m. Now You See It, Now You Don’t: Impact of

Population Screening Practices on Perceived

Efficacy of Cancer Therapies—◆Margaret A.

Au, University of Washington

; Ruth Etzioni, Fred

Hutchinson Cancer Research Center

79 CC-201 n

Multiple Trials, Multiple Comparison, and

Multiple Endpoints—Contributed

Biopharmaceutical Section

Chair(s): Tammy Massie , FDA

4:20 p.m. Combining Multiple Tests in Clinical Trials with

Hierarchical Objectives—◆Alexei A. Dmitrienko, Eli

Lilly and Company

; Ajit C. Tamhane, Northwestern

University

; Lingyun Liu, Northwestern University

4:35 p.m. Simultaneous Critical Values for t-Tests in Very High

Dimensions—◆Hongyuan Cao, The University of

North Carolina at Chapel Hill

; Michael Kosorok, The

University of North Carolina at Chapel Hill

4:50 p.m. Evaluating Multiple Endpoints in Two Pivotal

Trials—◆Brian L. Wiens, Gilead Sciences, Inc.;

Alexei A. Dmitrienko, Eli Lilly and Company

5:05 p.m. An Efficient Algorithm to Determine the Optimal

Two-Stage Randomized Multinomial Designs in

Oncology Clinical Trials—◆Yong Zhang, University of Michigan

; William L. Mietlowski, Novartis

Oncology ; Bee Chen, Novartis Oncology; Yibin Wang,

Novartis Oncology

5:20 p.m.

Overall Power for Testing Co-Primary Hypothesis with Multiple Endpoints—◆Fang Liu, Merck

Research Laboratories

5:35 p.m. Extended Fallback Procedures with Clinical Trial

Applications—◆Yan D. Zhao, Eli Lilly and Company;

Alexei A. Dmitrienko, Eli Lilly and Company

; Brian L.

Wiens, Gilead Sciences, Inc.

4:05 p.m. Comparison of Multiple Testing Methods in a Trial with Co-Primary Endpoints—◆Moumita Sinha,

Boehringer Ingelheim Pharmaceuticals, Inc.

INTERNATIONAL INDIAN

STATISTICAL ASSOCIATION

We Invite You to Join as a Member!

Please Stop by the IISA Table at JSM 2009!

Visit the web site: www.stat.osu.edu/~hnn/IISA.html

64 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

MOndAy, AuGust 3

Tours

TR05 - Welcome to Washington Tour

9:00 a.m.–1:00 p.m.

7:00 a.m.–8:30 a.m. RH-Meeting Room 3

Committee on Statistics in Two-Year Colleges Meeting

Chair(s): Mary Sullivan, Rhode Island College

TR06 - The Kennedys: A Georgetown Walking Tour

9:00 a.m.–1:00 p.m.

7:00 a.m.–8:30 a.m. RH-Congressional B

ASA Caucus of Academic Representatives

Committee Meeting

Chair(s): Douglas Simpson, University of Illinois at

Urbana-Champaign

TR07 - The Neighborhoods of Washington DC: Not Just the Nation’s Capital City

2:00 p.m.–6:00 p.m.

7:00 a.m.–8:30 a.m. CC-205

Section on Health Policy Statistics Business Meeting

Chair(s): Bonnie Ghosh-Dastidar, RAND Corporation

TR08 - Monuments by Moonlight

8:00 p.m.–11:00 p.m.

Committee/Business Meetings &

Other Activities

7:00 a.m.–8:30 a.m. RH-Meeting Room 19

ASA Development Committee (closed)

Chair(s): Scott Evans, Harvard University

7:00 a.m.–8:30 a.m.

Survey Review Committee Annual Meeting

Chair(s): Jonaki Bose, Substance Abuse & Mental Health

Services Administration

CC-157

7:00 a.m.–8:30 a.m. RH-Meeting Room 6

ASA Archives and Historical Materials Annual

Committee Meeting

Chair(s): John Paul Deley, Energy Information Administration

7:00 a.m.–8:30 a.m. RH-Meeting Room 17

Section on Statistical Graphics Business Meeting (closed)

Chair(s): Antony Unwin, Uni Augsburg

7:00 a.m.–9:00 a.m.

Social Statistics Section Executive Board Meeting

Chair(s): Allen Schirm, Mathematica Policy Research, Inc.

7:00 a.m.–8:30 a.m. RH-Meeting Room 18

Technometrics Management Committee Business Meeting

(closed)

Chair(s): William Notz, Technometrics Management Committee

7:00 a.m.–6:00 p.m.

Speaker Management Room

7:00 a.m.–10:00 p.m.

Cyber Center

RH-Meeting Room 7

CC-154A

CC-East Registration

7:00 a.m.–8:30 a.m.

SPAIG Committee Meeting (closed)

Chair(s): Jai Choi, Medical College of Georgia

RH-Meeting Room 4

7:30 a.m.–8:30 a.m. CC-3rd Floor West Ear

Communications in Statistics Editorial Meeting (closed)

Organizer(s): Narayanaswamy Balakrishnan, McMaster University

7:00 a.m.–8:30 a.m. CC-303

ASA/SIAM Book Series Management Committee (closed)

Chair(s): Martha Aliaga, ASA

7:30 a.m.–9:00 a.m. CC-210

Committee on Membership Retention and Recruitment

Meeting (closed)

Chair(s): Mingxiu Hu, Millennium Pharmaceuticals/The Takeda

Oncology Company

7:00 a.m.–8:30 a.m. RH-Meeting Room 5

Section on Statistical Education Executive Committee

Meeting (closed)

Chair(s): Robert delMas, The University of Minnesota

7:30 a.m.–9:00 a.m. CC-2nd Floor Overlook West

Carnegie Mellon Alumni and Faculty Breakfast

Chair(s): Margaret Smykla, Carnegie Mellon

7:00 a.m.–8:30 a.m. CC-302

Section on Statistics in Defense and National Security

Executive Committee Business Meeting (closed)

Chair(s): Wendy Martinez, U.S. Department of Defense

7:30 a.m.–12:00 p.m. RH-Congressional A

Biopharmaceutical Section Executive Committee Meeting

Chair(s): Anna B. Nevius, FDA

Washington, DC 65

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

7:30 a.m.–6:00 p.m. CC-East Registration

ASA Membership/Special Assistance/Press Desk

7:30 a.m.–6:00 p.m.

JSM Main Registration

CC-East Registration

8:00 a.m.–9:00 a.m. CC-2nd Floor Overlook East

COCGB ISEF Breakfast Meeting

Chair(s): Theresa Utlaut, Intel Corporation

8:00 a.m.–4:00 p.m. RH-Meeting Room 2

Statistics in Support of National Defense

Chair(s): Wendy Martinez, U.S. Department of Defense

8:00 a.m.–5:00 p.m. Off Property

Meeting Within a Meeting Statistics Workshop for K–12

Math and Science Teachers: K–4, 5–8, and 9–12 Strands

(closed)

Chair(s): Martha Aliaga, ASA

8:00 a.m.–6:00 p.m.

Career Placement Service

8:00 a.m.–6:00 p.m.

Exhibitor Lounge

CC-Hall D

CC-Hall D

8:30 a.m.–10:30 a.m. RH-Congressional C

Advisory Committee on Continuing Education Business

Meeting (closed)

Chair(s): Xiaoming Sheng, University of Utah

8:30 a.m.–4:30 p.m. Off Property

Beyond AP Statistics (BAPS) Workshop for Experienced

Teachers (closed)

Chair(s): Roxy Peck, Cal Poly

9:00 a.m.–10:00 a.m.

COCGB Planning Meeting

CC-2nd Floor Overlook East

Chair(s): John Hall, Mathematica Policy Research, Inc.

9:00 a.m.–10:00 a.m. RH-Meeting Room 3

Transportation Statistics Interest Group Annual Meeting

Chair(s): Promod Chandhok, U.S. Department of Transportation

9:00 a.m.–5:30 p.m.

ASA Marketplace

9:00 a.m.–6:00 p.m.

EXPO 2009

CC-East Registration

9:00 a.m.–6:00 p.m.

American Statistical Association Booth #101

9:00 a.m.–7:00 p.m.

Speaker Management Room

CC-Hall D

CC-Hall D

CC-154A

10:00 a.m.–11:30 a.m. RH-Congressional B

ASA Caucus of Academic Representatives Meeting

Chair(s): Douglas Simpson, University of Illinois at

Urbana-Champaign

10:00 a.m.–12:00 p.m.

COCGB Executive Committee Meeting (Closed)

Chair(s): John Hall, Mathematica Policy Research, Inc.

CC-205

10:00 a.m.–12:00 p.m. CC-2nd Floor Overlook West

COCGB Status Committee Meeting (closed)

Chair(s): John Boyer, Chair

10:30 a.m.–2:00 p.m.

JSM 2010 Program Committee Meeting (closed)

CC-302

Chair(s): Xuming He, University of Illinois at Urbana-Champaign

12:00 p.m.–1:45 p.m. RH-Meeting Room 18

ASA-Pfizer-University of Connecticut Lunch Meeting:

Filming of Distinguished Statisticians

Organizer(s): Nitis Mukhopadhyay, University of Connecticut

CC-303 12:00 p.m.–2:00 p.m.

JCGS Editors’ Lunch

Chair(s): Janet Wallace, JCGS Editorial Coordinator;

David A. van Dyk, University of California, Irvine

12:00 p.m.–2:00 p.m.

Interface Board Meeting (closed)

CC-210

Organizer(s): David Marchette, Naval Surface Warfare Center

12:00 p.m.–5:30 p.m. CC-2nd Floor Overlook East

COCGB Status Committee Meeting (Closed)

12:30 p.m.–2:00 p.m. RH-Meeting Room 7

Committee on Gay and Lesbian Concerns in Statistics

Business Meeting

Chair(s): Barry Johnson, Statistics of Income, IRS

12:30 p.m.–2:00 p.m.

IMS Editors’ Luncheon

RH-Meeting Room 3

Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael

Steele, IMS President; Nanny Wermuth, IMS President

12:30 p.m.–2:00 p.m. RH-Meeting Room 4

Statistics in Medicine Editorial Board Meeting (closed)

Organizer(s): Ralph B. D’Agostino, Sr., Boston University

12:30 p.m.–2:00 p.m. RH-Meeting Room 6

Section on Statistical Computing Executive Committee

Meeting (closed)

Chair(s): Jose C. Pinheiro, Novartis Pharmaceuticals

2:00 p.m.–4:00 p.m.

Finance Committee Meeting (closed)

Chair(s): J. Keith Ord, Georgetown University

CC-157

Washington, DC 67

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:00 p.m.–5:00 p.m.

CAUSE Activists Meeting

RH-Meeting Room 3

Organizer(s): Dennis Pearl, The Ohio State University

3:00 p.m.–6:00 p.m.

Section on Government Statistics Executive Board

CC-301

Meeting (closed)

Chair(s): Robert Lussier, Statistics Canada

4:00 p.m.–5:00 p.m.

Joint ASA-MAA Committee

Chair(s): Julie Legler, St. Olaf College

RH-Meeting Room 4

4:00 p.m.–5:30 p.m. RH-Meeting Room 19

Section on Statistics and Environment Executive

Committee Meeting

Chair(s): Gretchen Moisen, ENVR Chair

4:30 p.m.–6:00 p.m. CC-303

Section on Nonparametric Statistics Executive Committee

Meeting (closed)

Chair(s): Doug Wolfe, The Ohio State University

5:00 p.m.–6:00 p.m. CC-141

Journal of Quality Technology Editorial Review Board

Meeting (closed)

Organizer(s): Daniel Apley, Northwestern University

5:00 p.m.–6:00 p.m.

SIGMEDD Annual Meeting

CC-143A

Chair(s): Greg Campbell, Division of Biostatistics CDRH US FDA

5:00 p.m.–6:30 p.m.

Section on Statistics in Sports Business Meeting

Chair(s): Gilbert Fellingham, Brigham Young University

CC-101

5:00 p.m.–6:30 p.m. RH-Meeting Room 5

CDC & ATSDR Statisticians Business Meeting

5:00 p.m.–6:30 p.m. RH-Meeting Room 7

Committee on Student Pro Bono Statistics Business

Meeting

Chair(s): Andrea Rau, Purdue University

5:00 p.m.–7:00 p.m.

NISS/SAMSI Reception

5:00 p.m.–7:00 p.m.

Statistical Society of Canada Reception

Organizer(s): Bovas Abraham, University of Waterloo

CC-201

CC-209C

5:00 p.m.–7:00 p.m.

RTI Reception (closed) (Hosted by Sally Morton)

Organizer(s): Paula Sable, RTI International

CC-204A

5:00 p.m.–7:00 p.m.

CAUSE Activists Meeting

CC-208B

Chair(s): Dennis Pearl, The Ohio State University; Dennis Pearl,

The Ohio State University

5:00 p.m.–7:30 p.m. RH-Meeting Room 17

Committee on Statistics and Disability Annual Meeting

Chair(s): Joan L. Turek, U.S. Department of Health and

Human Services

5:00 p.m.–8:00 p.m. CC-202A

Texas A&M University Department of Statistics Aggie

Reunion (closed)

Organizer(s): Simon Sheather, Professor and Head of Statistics

5:30 p.m.–6:30 p.m.

Russian and ex-USSR Statisticians Mixer

CC-142

Organizer(s): Stanislav Kolenikov, University of Missouri-Columbia

5:30 p.m.–6:30 p.m. CC-3rd Floor East Ear

Caucus for Women in Statistics Business Meeting and Reception

Organizer(s): Marcia Ciol, University of Washington

5:30 p.m.–7:00 p.m.

Section on Statistics in Epidemiology Executive

Committee Meeting (closed)

CC-157

Chair(s): Philip Rosenberg, National Cancer Insitute; Philip

Rosenberg, National Cancer Institute

5:30 p.m.–7:00 p.m. CC-144C

International Indian Statistical Association Mixer and

Reception

Organizer(s): Subir Ghosh, University of California, Riverside

5:30 p.m.–7:00 p.m. CC-3rd Floor West Ear

University of Georgia Reception for Alumni and Friends

Organizer(s): John Stufken, The University of Georgia

5:30 p.m.–7:00 p.m. CC-205

Section on Teaching of Statistics in the Health Sciences

Business Committee Meeting and Mixer

Chair(s): Patrick Arbogast, Vanderbilt University

5:30 p.m.–7:00 p.m. CC-209A

The University of North Carolina at Chapel Hill Department of Biostatistics and Statistics and Operations Research

Alumni Reception

Organizer(s): Michael Kosorok, The University of North Carolina at Chapel Hill

5:30 p.m.–7:00 p.m. RH-Meeting Room 6

Biometrics Section Mixer and Business Meeting

Chair(s): Daniel Heitjan, University of Pennsylvania

68 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

5:30 p.m.–7:00 p.m. CC-149A

IMS New Member and Student Welcome Reception

Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael

Steele, IMS President; Nanny Wermuth, IMS President

5:30 p.m.–7:00 p.m.

Strategic Planning Meeting

RH-Meeting Room 18

Chair(s): Martha Gardner, General Electric Global Research

5:30 p.m.–7:30 p.m.

Social Statistics Section Business Meeting

Chair(s): Allen Schirm, Mathematica Policy Research, Inc.

CC-302

5:30 p.m.–8:30 p.m. RFD Washington, 810 7th St. NW

Section on Health Policy Statistics Business Meeting and Mixer

Chair(s): Susan Paddock, RAND Corporation

6:00 p.m.–7:00 p.m.

ASA President’s Invited Speaker Reception

RH-Suite 1240

(by invitation only)

Chair(s): Sally C. Morton, RTI International

6:00 p.m.–7:30 p.m. RH-Meeting Rooms 12, 13, 14

Korean Statisticians Annual Meeting

Organizer(s): Sin-Ho Jung, Duke University

6:00 p.m.–7:30 p.m. RH-Meeting Room 4

Section on Statistics and the Environment Business

Meeting and Mixer

Chair(s): Gretchen Moisen, U.S. Forest Service

6:00 p.m.–7:30 p.m.

Christian Statisticians’ Informal Discussion Group

Organizer(s): James Ward, Sand Point Statistics Group

CC-153

6:00 p.m.–8:00 p.m.

Section on Survey Research Methods Executive

Committee Meeting

Chair(s): Roderick J.A. Little, University of Michigan

CC-210

6:00 p.m.–8:00 p.m.

JSM Student Mixer

RH-Grand Ballroom Central

Chair(s): Mingxiu Hu, Millennium Pharmaceuticals/The Takeda

Oncology Company

6:00 p.m.–8:00 p.m. RH-Meeting Room 3

University of Washington Biostatistics-Statistics Alumni

Reception (closed)

Organizer(s): Andrew Zhou, University of Washington

Department of Biostatistics

6:00 p.m.–8:00 p.m. CC-2nd Floor Overlook West

Joint Section on Risk Analysis and Statistics in

Defense and National Security Meeting and Mixer

Chair(s): Wendy Martinez, U.S. Department of Defense;

A. John Bailer, Miami University

6:00 p.m.–9:00 p.m.

Eli Lilly Faculty Reception (closed)

RH-Meeting Room 16

Organizer(s): Todd Sanger, Corporate Sponsor; Valerie Ghoston,

Eli Lilly

6:00 p.m.–9:00 p.m. Off Property

Pomona College/Claremont Colleges Alumni Dinner

Organizer(s): Donald L. Bentley, Pomona College

6:30 p.m.–7:30 p.m. RH-Grand Ballroom North

ASA Longtime Member Reception

Chair(s): Mingxiu Hu, Millennium Pharmaceuticals/The Takeda

Oncology Company

6:30 p.m.–8:00 p.m.

CRC Press Reception (closed)

Organizer(s): Nadja English, Chapman & Hall/CRC Press

CC-202B

6:30 p.m.–8:00 p.m. CC-2nd Floor Overlook East

AAAS S&T Policy Fellowships: How to Become a

Policy-Savvy Scientist

Organizer(s): Dan Poux, AAAS

7:00 p.m.–8:00 p.m. RH-Meeting Room 7

International Indian Statistical Association Executive Board

Meeting (closed)

Organizer(s): Subir Ghosh, University of California, Riverside

7:00 p.m.–9:00 p.m. RH-Meeting Room 2

Southern Methodist University Alumni Social Gathering

Organizer(s): Wayne Woodward, Department of Statistical Science

7:30 p.m.–10:00 p.m. RH-Renaissance Ballroom West B

Joint Statistical Computing Section and Section on

Statistical Graphics Meeting and Mixer

Chair(s): Antony Unwin, Uni Augsburg; Jose C. Pinheiro,

Novartis Pharmaceuticals

9:30 p.m.–11:00 p.m. CC-Ballroom South Prefunction

IMS Presidential Address Reception

Organizer(s): Elyse Gustafson, IMS Executive Director;

J. Michael Steele, IMS President; Nanny Wermuth, IMS President

Continuing Education (Fee Events)

CE_14C

Methodology for Competing Outcomes: The Analysis of

Multiple Mutually Exclusive Endpoints in a Clinical Trial

8:00 a.m.–12:00 p.m. RH-Meeting Rooms 12,13,14

ASA, Biometrics Section

Instructor(s): David C. Naftel, The University of Alabama at Birmingham

Washington, DC 69

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

CE_15C

Optimum Experimental Designs

8:30 a.m.–5:00 p.m.

ASA

RH-Meeting Room 15

Instructor(s): Anthony Atkinson, London School of Economics;

Randall Tobias, SAS Institute Inc.

Roundtables with Coffee

7:00 a.m.–8:15 a.m.

CE_16C

Dose-Finding Studies: Methods and Implementation

8:30 a.m.–5:00 p.m. RH-Renaissance Ballroom West A

ASA, Biopharmaceutical Section

Instructor(s): Frank Bretz, Norvartis, Switzerland; Jose C. Pinheiro,

Novartis Pharmaceuticals

CE_17C

Bayesian Inference

8:30 a.m.–5:00 p.m. RH-Meeting Room 16

ASA, Section on Bayesian Statistical Science

Instructor(s): Bruno Sanso, University of California, Santa Cruz

CE_18C

Experiences and Pitfalls in Reliability Data Analysis and

Test Planning

8:30 a.m.–5:00 p.m. RH-Meeting Rooms 10 & 11

ASA, Section on Physical and Engineering Sciences

Instructor(s): William Q. Meeker, Iowa State University

80 CC-Ballroom South Prefunction

Section for Statistical Programmers and

Analysts Roundtables with Coffee (fee event)

Section for Statistical Programmers and Analysts

Organizer(s): Chengying Wu, sanofi-aventis

ML01 Improving Health Care Using Data Standards—◆Scott

Moseley, Vertex Pharmaceuticals, Inc.

ML02 Publishing an R Package—◆Jason Wilson,

Biola University

81 CC-Ballroom South Prefunction

Section on Government Statistics Roundtable with Coffee (fee event)

Section on Government Statistics

Organizer(s): Lisa Blumerman, U.S. Census Bureau

ML03 Managing Surveys in a Disrupted Environment—◆Carol

House, National Agricultural Statistics Service

CE_19C

Methods for Designing and Analyzing Mixture Experiments

8:30 a.m.–5:00 p.m. RH-Meeting Rooms 8 & 9

ASA, Section on Physical and Engineering Sciences

Instructor(s): John A. Cornell, University of Florida; Greg Piepel,

Pacific Northwest National Laboratory

CE_20C

Multiple Imputation of Missing Data

8:30 a.m.–5:00 p.m. RH-Renaissance Ballroom West B

ASA

Instructor(s): Paul D. Allison, University of Pennsylvania

CE_21C

Evaluating Probability of Success for Internal

Decisionmaking in Early Drug Development

1:00 p.m.–5:00 p.m. RH-Meeting Rooms 12,13,14

ASA, Biopharmaceutical Section

Instructor(s): Martin King, Abbott Laboratories; Narinder Nangia,

Abbott Laboratories; Jane Qian, Abbott Laboratories

82 CC-Ballroom South Prefunction

Section on Health Policy Statistics Roundtable with Coffee (fee event)

Section on Health Policy Statistics

Organizer(s): Susan Paddock, RAND Corporation

ML04 Challenges in Applying Regression Methods to

Preference-Scored Indexes of HRQoL—◆Mari Palta,

University of Wisconsin-Madison

83 CC-Ballroom South Prefunction

Section on Statistics in Epidemiology

Roundtable with Coffee (fee event)

Section on Statistics in Epidemiology

Organizer(s): Ruth Pfeiffer, National Cancer Institute

ML05 New Methods and Resources for Gerontologic

Biostatisticians—◆Peter H. Van Ness, Yale University

70 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

84 CC-Ballroom South Prefunction

Section on Statistical Education Roundtable with Coffee (fee event)

Section on Statistical Education

Organizer(s): Tisha L. Hooks, Winona State University

9:50 a.m. Pitfalls in Estimating Asymmetric Effects of Energy

Price Shocks—◆Lutz Kilian, University of Michigan

10:15 a.m.

Floor Discussion

ML06 Implementing GAISE in Large Classes of Introductory

Statistics—◆Patti B. Collings,

Brigham Young University

87

Statistics in BioSciences: The ICSA New

Journal—Invited

CC-201

International Chinese Statistical Association

Organizer(s): Xihong Lin, Harvard School of Public Health;

Kuang-Kuo (Gordon) Lan, Johnson & Johnson PRD

Chair(s): Xihong Lin, Harvard School of Public Health

Special Presentation

8:30 a.m.–10:20 a.m.

85 CC-202A

Introductory Overview Lecture: Spatial Data

Analysis—Other

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Wendy Martinez, U.S. Department of Defense

Chair(s): Petrutza Caragea, Iowa State University

8:35 a.m.

Spatial Statistical Thinking—◆Noel A. Cressie,

The Ohio State University

10:00 a.m.

Floor Discussion

8:35 a.m.

Elucidation of Clinical Trial Intervention Effects

Using Genomic and Proteomic Discovery

Platforms—◆Ross L. Prentice, Fred Hutchinson

Cancer Research Center/University of Washington

9:05 a.m. Hierarchical Functional Data: Semiparametric and

Nonparametric Methods for Modeling Functional

Dependence with Application to Colonic Crypt

Signaling—◆Raymond J. Carroll, Texas A&M

University

9:35 a.m. Predicting Future Outcomes via Empirical, Possibly

Misspecified Regression Models—◆Lee-Jen Wei,

Harvard University

10:05 a.m. Floor Discussion

Invited Sessions

8:30 a.m.–10:20 a.m.

86 CC-208A n J

Statistical Techniques for Estimating DSGE

Models and Macroeconomic Policy Analysis—

Invited

Business and Economic Statistics Section, Section on

Government Statistics

Organizer(s): Atsushi Inoue, North Carolina State University

Chair(s): Barbara Rossi, Duke University

8:35 a.m.

Testing for Identification in Possibly Nonlinear

Models—◆Atsushi Inoue, North Carolina State

University ; Barbara Rossi, Duke University

9:00 a.m.

DSGE Model-Based Forecasting of Nonmodeled

Variables—◆Frank Schorfheide, University of

Pennsylvania ; Keith Sill, Federal Reserve Bank of Philadelphia

9:25 a.m. Statistical Techniques for Estimating DSGE

Models and Macroeconomic Policy Analysis—

Christopher Otrok, University of Virginia

;

Eric Young, University of Virginia

88 CC-202B n J

Professional Statistics and Graphics with

Spreadsheets Using the RExcel Interface

Interface—Invited

General Methodology, Section on Statistical Graphics,

Interface Foundation of North America

Organizer(s): Naomi B. Robbins, NBR Graphs; Richard M.

Heiberger, Temple University

Chair(s): Naomi B. Robbins, NBR Graphs

8:35 a.m.

RExcel in Introductory and Advanced Statistics

Courses—◆Richard M. Heiberger, Temple

University

9:05 a.m. RExcel: Powerful Statistics Within an Office

Software Environment—◆Erich Neuwirth,

University of Vienna

9:35 a.m. R and Excel in Industrial and Consulting

Environments—◆Christian Ritter, Université catholique de Louvain

10:05 a.m. Floor Discussion

Washington, DC 71

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

89 CC-101 n J

Advancing Health Outcomes Measurement:

The NIH Patient-Reported Outcomes

Measurement Information System

(PROMIS)—Invited

Section on Health Policy Statistics, Social Statistics Section,

Biopharmaceutical Section, Section on Government Statistics

Organizer(s): Bryce B. Reeve, National Cancer Institute

Chair(s): James O’Malley, Harvard Medical School

91 CC-144B n J

Statistical Approaches for Studying

Synergism of Genes and Environment in

Epidemiologic Studies—Invited

Section on Statistics in Epidemiology, Section on Bayesian

Statistical Science, International Indian Statistical Association

Organizer(s): Brisa Sanchez, University of Michigan

Chair(s): Brisa Sanchez, University of Michigan

8:35 a.m.

Advancing Health Outcomes Measurement: The

NIH Patient-Reported Outcomes Measurement

Information System (PROMIS)—◆Bryce B. Reeve,

National Cancer Institute

9:00 a.m. Challenges and Advantages for PROMIS

Instruments for Clinical Studies—◆Dennis A.

Revicki, United BioSource Corporation

9:25 a.m. Psychometric Evaluation of PROMIS: IRT

Calibration, DIF, Scaling, and Validity—◆Wen-Hung

Chen, United BioSource Corporation ; Ron D. Hays,

University of California, Los Angeles ; Bryce B. Reeve,

National Cancer Institute

9:50 a.m. Disc: Steven B. Clauser, National Cancer Institute

10:10 a.m. Floor Discussion

8:35 a.m.

The Impact of the Winner’s Curse on Parameter

Estimation and False Positive Rates in Studies

Involving Environmental Exposure Data—

Sebastian Zöllner, University of Michigan

9:00 a.m. Using Nuclear Families to Study Haplotype-by-

Environment Interaction—◆Clarice R. Weinberg,

National Institute of Environmental Health Sciences

;

Min Shi, National Institute of Environmental Health

Sciences

; David Umbach, National Institute of

Environmental Health Sciences

9:25 a.m. Detecting Gene-Gene Interactions Using Genome-

Wide Association Studies in Presence of Population

Stratification—Samsiddhi Bhattacharjee, National

Cancer Institute

; ◆Nilanjan Chatterjee, National

Cancer Institute

9:50 a.m. Bayesian Methods for Two-Phase Studies of

Gene-Environment Interaction—◆Bhramar

Mukherjee, University of Michigan

10:15 a.m. Floor Discussion

90 CC-102B n J

O’ Privacy, Where Art Thou? Mapping the

Landscape of Data Confidentiality—Invited

Social Statistics Section, Committee on Privacy and

Confidentiality, Section on Survey Research Methods,

Section on Government Statistics

Organizer(s): Aleksandra B. Slavkovic, Penn State University;

Adam D. Smith, Penn State University

Chair(s): Aleksandra B. Slavkovic, Penn State University

92 CC-159A

From Climate to Weather: Regionalizing Climate

Models—Invited

Section on Statistics and the Environment, Section on Bayesian

Statistical Science

Organizer(s): Mark S. Kaiser, Iowa State University

Chair(s): Stephan R. Sain, National Center for Atmospheric Research

8:35 a.m.

Rethinking Privacy and Disclosure Limitation from a Cryptographic Perspective—◆Cynthia Dwork,

Microsoft Research

9:00 a.m.

Rethinking the Risk-Utility Tradeoff Approach to Statistical Disclosure Limitation—◆Stephen

Fienberg, Carnegie Mellon University

9:25 a.m.

Rethinking Official Statistical Disclosure Limitation

Procedures from a Cryptographic Privacy

Perspective—◆John M. Abowd, Cornell University

9:50 a.m.

Disc: Laura Zayatz, U.S. Census Bureau

10:00 a.m. Disc: Marilyn Seastrom, National Center for

Education Statistics

10:10 a.m. Floor Discussion

8:35 a.m.

Combining Ensembles of Regional Climate Model

Output Using Markov Random Field Models—

Reinhard Furrer, Colorado School of Mines

9:00 a.m. Modeling of Precipitation Extremes from Regional

Climate Models—◆Daniel Cooley, Colorado State

University

; Stephan R. Sain, National Center for

Atmospheric Research

9:25 a.m. Spatial Latent Variable Modeling for Integrating

Output from Multiple Climate Models—◆William F.

Christensen, Brigham Young University

; Stephan R.

Sain, National Center for Atmospheric Research

9:50 a.m. Statistical Issues in Regionalization of Climate

Models—◆Mark S. Kaiser, Iowa State University;

Gene Takle, Iowa State University

10:15 a.m. Floor Discussion

Washington, DC 73

Room 209C

Walter E. Washington

Convention Center

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

93

Threshold Estimation—Invited

IMS

CC-204B

Organizer(s): Moulinath Banerjee, University of Michigan

Chair(s): Moulinath Banerjee, University of Michigan

96 CC-144A n J

Continued Use of Family Data in Statistical

Genetics—Invited

ENAR, Section on Statistics in Epidemiology

Organizer(s): Rui Feng, University of Pennsylvania

Chair(s): Hemant Tiwari, The University of Alabama at Birmingham

8:35 a.m.

Detecting Streaming Motion in Dwarf Spheroidal

Galaxies Using Threshold Models—◆Bodhisattva

Sen, Columbia University

9:00 a.m. Asymptotics of Change-Point--Type Parameter

Estimates Under a Changing Sequence of Sampling

Distributions—◆Rui Song, Colorado State University;

Moulinath Banerjee, University of Michigan ; Michael

Kosorok, The University of North Carolina at

Chapel Hill

9:25 a.m. Two Approaches to Thresholding in Functional

Neuroimaging—◆Jonathan Taylor, Stanford

University

9:50 a.m. Tests and Estimates for the Magnitude of Threshold

Effects—◆David Siegmund, Stanford University

10:15 a.m.

Floor Discussion

8:35 a.m.

An Association Test for Multiple Traits—◆Heping

Zhang, Yale University ; Ching-Ti Liu, Boston

University

; Xueqin Wang, Sun-Yat Sen University;

Wensheng Zhu, Yale University

9:00 a.m. Screening and Replication Using the Same Data

Set: Testing Strategies for Family-Based Studies in Which All Probands Are Affected—◆Christophe

Lange, Harvard University

9:25 a.m. A Weighted Family-Based Genome-Wide

Association Strategy—◆Matthew B. McQueen,

University of Colorado

9:50 a.m. Are Pedigree Data Necessary and Critical in

Modern Genomic Studies?—Robert C. Elston,

Case Western Reserve University

; ◆Kathleen R.

Merikangas, National Institutes of Health

10:15 a.m. Floor Discussion

94

Semiparametric Model Estimation and

Selection—Invited

IMS, International Chinese Statistical Association,

International Chinese Statistical Association

CC-209B

Organizer(s): Guang Cheng, Purdue University

Chair(s): Guang Cheng, Purdue University

8:35 a.m.

Large-Sample Theory for Penalized Splines—

David Ruppert, Cornell University

9:05 a.m. Variable Selection for Partially Linear Models with Measurement Errors—◆Runze Li, Penn

State University

9:35 a.m. On Varying Coefficient Models Stratified by a

Functional Covariate—◆Jianhua Huang,

Texas A&M University

10:05 a.m. Floor Discussion

Invited Panels 8:30 a.m.–10:20 a.m.

97 CC-206 n J

Real-Life Ethical Dilemmas Encountered in the Practice of Statistics: Resolution Leading to

Policy Change—Invited

Committee on Professional Ethics, Section on Survey

Research Methods, Social Statistics Section, Section on

Government Statistics

Organizer(s): Donald L. Bentley, Pomona College; Shelley Hurwitz,

Harvard Medical School/Brigham and Women’s Hospital

Chair(s): Shelley Hurwitz, Harvard Medical School/Brigham and Women’s Hospital

95

IMS Medallion Lecture II—Invited

IMS, Section on Bayesian Statistical Science

CC-207A

Organizer(s): Xiaotong Shen, The University of Minnesota

Chair(s): Marina Meila, University of Washington

Panelists:

Peter B. Imrey, Cleveland Clinic Foundation

Mark G. Haug, The University of Kansas

Barbara A. Bailar, NORC at the University of Chicago

Ingram Olkin, Stanford University

10:05 a.m. Floor Discussion

8:35 a.m. From R. A. Fisher to Microarrays: Why 70-Year-

Old Theory Is Relevant Today—◆George Casella,

University of Florida

10:00 a.m. Floor Discussion

Washington, DC 75

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

98 CC-207B

Statistics Groups in Industry: Rise, Decline, and

Improvement—Invited

Section on Quality and Productivity

Organizer(s): Donald McCormack, SAS Institute Inc.

Chair(s): Donald McCormack, SAS Institute Inc.

100 CC-158A n

Student Paper Competition: Bayesian

Inference/Modeling for Non-Gaussian Data—

Topic-Contributed

Section on Bayesian Statistical Science

Organizer(s): Michael J. Daniels, University of Florida

Chair(s): Timothy D. Johnson, University of Michigan

Panelists:

Lynne Hare, Consultant

Roger Hoerl, General Electric

William Kahn, Travelers Insurance

Charles Taylor, Procter & Gamble

Jose G. Ramirez, W.L. Gore and Associates, Inc.

10:15 a.m.

Floor Discussion

Topic-Contributed Sessions

8:30 a.m.–10:20 a.m.

99

Novel Applications of Linear Models in

Surveys—Topic-Contributed

Section on Survey Research Methods

Organizer(s): Roderick J.A. Little, University of Michigan

Chair(s): Roderick J.A. Little, University of Michigan

CC-142

8:35 a.m.

Bayesian Modeling of Non-Gaussian Geostatistical

Data via Copulas—◆Souparno Ghosh, Texas A&M

University

; Bani K. Mallick, Texas A&M University

8:55 a.m. Bayesian Inference for the Stereotype Regression

Model: Application to a Case-Control Study of

Prostate Cancer—◆Jaeil Ahn, University of Michigan ; Bhramar Mukherjee, University of Michigan

9:15 a.m. Robust Bayesian Sample Size Determination for a

Binomial Proportion with Application to the Design of Phase II Cancer Clinical Trials—◆Ming Yang, The

University of Iowa

9:35 a.m. A Generalized Skewed Model for Binary Response

Data—◆Xia Wang, University of Connecticut; Dipak

K. Dey, University of Connecticut

9:55 a.m.

A Full Gibbs Sampler for a Multinomial Probit Model with Endogeneity—◆Lane Burgette, University of

Wisconsin-Madison

; Erik Nordheim, University of

Wisconsin-Madison

10:15 a.m. Floor Discussion

8:35 a.m. Ratio Estimation of the Mean with Unequal

Probability Samples: Hansen, Madow, and Tepping

Revisited—◆Fotios Kokkotos, Trinity Partners LLC;

Roderick J.A. Little, University of Michigan

8:55 a.m. Modified Ratio Estimators in Simple Random

Sampling—◆Evrim Oral, Louisiana State

University Health Sciences Center

; Cem

Kadilar, Hacettepe University

9:15 a.m. Probability Sample Designs That Impose Linear

Models on Sample Data and Provide Best Linear

Unbiased Estimators—◆Stephen Woodruff,

Specified Designs

9:35 a.m. Model-Based Approach to Small Area Estimation of Disability Count and Rate Using Data from the

2006 Participation and Activity Limitation Survey—

Valerie Bizier, Statistics Canada

9:55 a.m. Some Methods of Model-Based Sampling—

Sung-Joon Hong, Dongguk University ; So-Hyung

Park, Dongguk University

; Sun-Woong Kim,

Dongguk University

; Hong-Yup Ahn, Dongguk

University

; Steven G. Heeringa, University of Michigan

10:15 a.m. Floor Discussion

101

Biometrics Section

Organizer(s): Philip T. Reiss, New York University

Chair(s): Hernando Ombao, Brown University

CC-144C n

Inferring Connectivity in the Human Brain—

Topic-Contributed

8:35 a.m. Modeling Brain Pathways Using Functional Path

Analysis—◆Martin Lindquist, Columbia University

8:55 a.m. Shrinkage Estimation and Inferential Procedures for Functional Connectivity—◆Mark Fiecas, Brown

University

; Hernando Ombao, Brown University;

Crystal Linkletter, Brown University

; Wesley K.

Thompson, University of California, San Diego ;

Jerome Sanes, Brown University

9:15 a.m. Permutation Tests for Differential Functional

Connectivity—◆Philip T. Reiss, New York University;

Eva Petkova, New York University

; Zarrar Shehzad,

University of California, Los Angeles

; Michael P.

Milham, New York University

; M.H. Henry Stevens,

Miami University

76 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. Multiscale Adaptive GEE Methods for Longitudinal

Imaging Data—◆Yimei Li, The University of North

Carolina at Chapel Hill

; Hongtu Zhu, The University of North Carolina at Chapel Hill

; Joseph G. Ibrahim,

The University of North Carolina at Chapel Hill

;

Dinggang Shen, The University of North Carolina at Chapel Hill

9:55 a.m. Network Analysis on Resting-State fMRI—

Sang-Han Lee, Nathan S. Kline Institute for

Psychiatric Research

; Johan Lim, Seoul

National University

10:15 a.m.

Floor Discussion

9:15 a.m.

Performance Characteristic of a Confidence Interval

Approach for Safety Data Monitoring—◆Huyuan

Yang, Boston Scientific Corporation

; Haiying Lin,

Boston Scientific Corporation

; Hiroshi Fujimoto,

Boston Scientific Japan K.K

9:35 a.m. Can We Combine Multiple Condition of Approval

Studies?—◆Shelby Li, Medtronic, Inc.; An Liu,

Medtronic, Inc.

; Hongyan Qiao, Medtronic, Inc.;

Scott McRae, Medtronic, Inc.

9:55 a.m.

Disc: Ning Li, FDA

10:15 a.m. Floor Discussion

102 CC-150B n

Modeling of Multicenter Trials: Recruitment and Drug Supply—Topic-Contributed

Biopharmaceutical Section

Organizer(s): Vladimir V. Anisimov, GlaxoSmithKline

Chair(s): Valerii Federov, GlaxoSmithKline

104 CC-208B

Revisions and Regression Effects in Official

Time Series—Topic-Contributed

Business and Economic Statistics Section, Section on

Government Statistics

Organizer(s): Tucker S. McElroy, U.S. Census Bureau

Chair(s): Peter B. Kenny, PBK Research

8:35 a.m. Interim Enrollment Adjustment—◆Valerii V.

Fedorov, GlaxoSmithKline

; Frank Mannino,

GlaxoSmithKline

8:55 a.m. Predictive Modeling of Recruitment and Drug

Supply in Multicenter Trials—◆Vladimir V.

Anisimov, GlaxoSmithKline

9:15 a.m. Simulating Drug Supply for Adaptive Trials—

Nitin R. Patel, Cytel, Inc.

9:35 a.m. Simulating Clinical Trials in Order to Optimize the

Drug Supply—◆Tom Parke, Tessella

9:55 a.m. A New Framework for Building an Optimal Clinical

Trial Supply Chain—◆Cosimo Spera, DecisionView

10:15 a.m. Floor Discussion

103 CC-149A n

Postmarket Issues in Medical Devices—

Topic-Contributed

Biopharmaceutical Section

Organizer(s): Vandana Mukhi, FDA

Chair(s): Vandana Mukhi, FDA

8:35 a.m.

A Review of Revisions—◆Gary Brown, Office for

National Statistics

; Tullio Buccellato, Office for

National Statistics

; Nigel Stuttard, Office for National

Statistics

; Robin Youll, Office for National Statistics

8:55 a.m. Revision Analysis of Key Economic Indicators:

A Comparison Between Euro Area and US Data—

Dominique Ladiray, Insee

; Gian Luigi Mazzi,

Eurostat

9:15 a.m. Sources of Revisions of Seasonally Adjusted Real-

Time Data—◆Jens Mehrhoff, Deutsche Bundesbank

9:35 a.m. Investigating Quarterly Trading Day Effects—

Kathleen M. McDonald-Johnson, U.S. Census

Bureau

; David Findley, U.S. Census Bureau; Erica

Cepietz, U.S. Census Bureau

9:55 a.m. Comparison of X-12-ARIMA Trading Day and

Holiday Regressors with Country-Specific

Regressors—◆Christopher Roberts, University of Missouri-Columbia ; Scott Holan, University of Missouri-Columbia

; Brian C. Monsell, U.S.

Census Bureau

10:15 a.m. Floor Discussion

8:35 a.m. Reporting of a Standardized Incidence Rate for

Recurrent Adverse Events—◆John C. Evans,

Boston Scientific Corporation

; Wen Ding, Boston

Scientific Corporation

; Jian Huang, Boston Scientific

Corporation ; Vivek Pradhan, Boston Scientific

Corporation

8:55 a.m.

Statistical Practice and Post-Market Trials/

Databases: Some Perspectives—◆Gosford A.

Sawyerr, Purdue Pharma, LP

Washington, DC 77

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

105 CC-158B n J

Recent Developments of Bayesian Methods for Missing Data—Topic-Contributed

Section on Bayesian Statistical Science, Biometrics Section,

Biopharmaceutical Section

Organizer(s): Ming-Hui Chen, University of Connecticut

Chair(s): Lan Huang, National Cancer Institute

8:35 a.m.

Bayesian Variable Selection Methods Applied to

Traffic Fatality Data—◆Gail Blattenberger, The

University of Utah

; Richard Fowles, The University of Utah ; Peter Loeb, Rutgers University

8:55 a.m. Learning Bayesian Networks for Discrete Data—

Faming Liang, Texas A&M University

; Jian Zhang,

The University of York

9:15 a.m. Bayesian Analysis of Spatially Correlated and

Repeated Ordinal Response Data with Time-

Dependent Missing Covariates—◆Fang Yu,

University of Nebraska Medical Center ; Ming-Hui

Chen, University of Connecticut

; Sudipto Banerjee,

The University of Minnesota

; Lan Huang, National

Cancer Institute

; Gregory J. Anderson, University of Connecticut

9:35 a.m. Bayesian Choice of Links and Computation in

Binary Regression Models—◆Ming-Hui Chen,

University of Connecticut ; Sungduk Kim, National

Institute of Child Health and Human Development ;

Lynn Kuo, University of Connecticut

; Wangang Xie,

University of Connecticut

9:55 a.m. Variable Selection in Joint Model: A Semiparametric

Bayesian Approach—◆Pulak Ghosh, Novartis

Pharmaceuticals

; Bo Cai, University of South

Carolina

; Nicole Lazar, The University of Georgia

10:15 a.m. Floor Discussion

9:15 a.m. Analysis of the Distributions of Income, Taxes, and

Horizontal and Vertical Equity Using Cross-Section and Panel Data from Individual Tax Returns—

Michael Strudler, IRS

; Thomas Petska, IRS;

Ryan Petska, Ernst and Young LLP

9:35 a.m. Getting to Know US Taxpayers: Selected Tax Data by Occupation and Industry, Tax Years 2003--

2005—◆Mary Jezek, IRS; Terry Nuriddin, IRS;

Mario Fernandez, IRS

9:55 a.m. Using Sample Data to Reduce Nonsampling

Error in Small-Area Estimation—◆Jana Scali,

IRS ; Kimberly Henry, IRS; Parthasarathi Lahiri,

University of Maryland

10:15 a.m. Floor Discussion

Topic-Contributed Panels

8:30 a.m.–10:20 a.m.

107 n

Promoting Statistics Education Research—

Topic-Contributed

Section on Statistical Education

CC-204A

Organizer(s): Joan B. Garfield, The University of Minnesota

Chair(s): Joan B. Garfield, The University of Minnesota

Panelists:

Beth Chance, Cal Poly

Dennis Pearl, The Ohio State University

Pam Arroway, North Carolina State University

Sterling Hilton, Brigham Young University

10:15 a.m. Floor Discussion

106 CC-204C n J

Longitudinal Individual Income Tax Return

Sample Design and Analysis and Other

Individual Income Tax Return Research—

Topic-Contributed

Section on Government Statistics, Section on Survey

Research Methods

Organizer(s): Michael Weber, IRS

Chair(s): Thomas Petska, IRS

108 CC-143B n J

Model versus Randomization-Based

Inference from Group Randomized Trials—

Topic-Contributed

Social Statistics Section, Biometrics Section, Section on Survey

Research Methods

Organizer(s): David R. Judkins, Westat, Inc.

Chair(s): David R. Judkins, Westat, Inc.

8:35 a.m.

Redesign of SOI’s Individual Income Tax

Return Edited Panel Sample—Yan K. Liu, IRS;

Gerald Auten, U.S. Department of the Treasury

;

Michael Strudler, IRS

; ◆Valerie Testa, IRS

8:55 a.m. Can Taxpayer Characteristics Determine the

Possibility of Filing Future Tax Returns?—

Victoria Bryant, IRS

Panelists:

David M. Murray, The Ohio State University

Lisa M. LaVange, The University of North Carolina at Chapel Hill

Jennifer Hill, New York University

Keith E. Muller, University of Florida

Stuart Kerachsky, U.S. Department of Education

10:15 a.m. Floor Discussion

78 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

109 CC-102A n J

Efforts to Assist Users with American

Community Survey Data—Topic-Contributed

Section on Government Statistics, Section on Survey

Research Methods

Organizer(s): Deborah H. Griffin, U.S. Census Bureau

Chair(s): Susan Schechter, U.S. Census Bureau

111 CC-155

Zero-Inflated Models and Multi-Stage Models—

Contributed

Biometrics Section

Chair(s): Krishna K. Saha, Central Connecticut State University

Panelists:

Deborah H. Griffin, U.S. Census Bureau

Lynn Weidman, U.S. Census Bureau

Pamela M. Klein, U.S. Census Bureau

Robert P. Parker, Consultant on Federal Statistics

Jane Traynham, Maryland Department of Planning

10:15 a.m.

Floor Discussion

Contributed Sessions

8:30 a.m.–10:20 a.m.

110

General Methodology II—Contributed

Biometrics Section

Chair(s): Jeffrey R. Wilson, Arizona State University

CC-153

8:35 a.m. Testing Noninferiority for Clustered Matched Pair

Studies—◆Jun-mo Nam, National Cancer Institute

8:50 a.m. Asymptotic Confidence Interval for the Over-

Dispersion Parameter with Applications to

Biological Count Data—Krishna K. Saha, Central

Connecticut State University ; ◆Debaraj Sen,

Concordia University

; Roger Bilisoly, Central

Connecticut State University

9:05 a.m. The Theil-Sen Estimators in a Multiple Regression

Model When Covariates Are Nonrandom—

Fang Li, Indiana University-Purdue University

Indianapolis

; Hanxiang Peng, Indiana University

Purdue University Indianapolis

9:20 a.m. Power Computation in Testing Hardy-Weinberg

Equilibrium—◆Marepalli B. Rao, University of

Cincinnati ; Subramaniam Venkatesan, University of

Cincinnati ; Subramanyam Kasala, The University of

North Carolina at Wilmington

9:35 a.m. Single-Stage Simultaneous Confidence Intervals

Under Heteroscedasticity—◆Miin-Jye Wen,

National Cheng-Kung University

9:50 a.m.

Statistical Evaluation of Modality Test of Probability

Density Function—◆Mi-Chia Ma, National Cheng

Kung University

; Hui-Ting Hsu, National Cheng

Kung University

10:05 a.m. Floor Discussion

8:35 a.m. Dynamic Predicting by Landmarking as an

Alternative for Multistate Modeling: An Application to Acute Lymphoid Leukemia Data—◆Hans C. van

Houwelingen, Leiden University Medical Center ;

Hein Putter, Leiden University Medical Center

8:50 a.m. Modeling Censored Counts with Excessive Zeros and Within-Subject Correlations in an Animal Study

Mimicking Human Ductal Carcinoma in Situ—

Hung-Wen Yeh, The University of Kansas Medical

Center

; Byron J. Gajewski, The University of Kansas;

Fariba Behbod, The University of Kansas

Medical Center

9:05 a.m.

Latent Class Predictions for Subsequent Analysis—

Janne Petersen, Copenhagen University Hospital,

Hvidovre ; Karen Bandeen-Roche, Johns Hopkins

Bloomberg School of Public Health

; Klaus G. Larsen,

Lundbeck

; Ove Andersen, Copenhagen University

Hospital, Hvidovre

; Esben Budtz-Jørgensen,

University of Copenhagen

9:20 a.m. Use of Zero-Inflated Mixture Models to Compare

Antigen-Specific IgE Levels Among Subpopulations of Atopic Dermatitis Patients—◆Daniel Zaccaro,

Rho, Inc.

; Brian Armstrong, Rho, Inc.; Natalija

Novak, University of Bonn

; Thomas Bieber,

University of Bonn

9:35 a.m. Identifying an Optimal Risk Window Length for

Self-Controlled Case Series Studies—Lijing

Zhang, Kaiser Permanente Colorado

; ◆Stanley Xu,

Kaiser Permanente Colorado

; Chan Zeng, Kaiser

Permanente Colorado

; Jennifer Nelson, Group

Health Center for Health Studies ; John Mullooly,

Kaiser Permanente Northwest

; David McClure,

Kaiser Permanente Colorado

; Jason Glanz,

Kaiser Permanente Colorado

9:50 a.m. Modeling W-Shaped Data—◆Robert J. Gallop,

West Chester University

; Randall H. Rieger,

West Chester University

; Scott McClintock,

West Chester University

10:05 a.m. Floor Discussion

112

Semiparametric Methods—Contributed

Section on Nonparametric Statistics

Chair(s): F. Michael Speed, Texas A&M University

CC-148

8:35 a.m. Two-Sample Semiparametric Proportional Odds

Model with Application to ROC Curve—◆Zhong

Guan, Indiana University South Bend

; Cheng Peng,

University of Southern Maine

Washington, DC 79

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

8:50 a.m. Estimating the Error Distribution in Semiparametric

Additive Regression—◆Ursula U. Müller-Harknett,

Texas A&M University

; Anton Schick, Binghamton

University

; Wolfgang Wefelmeyer, University of Cologne

9:05 a.m. Maximum Likelihood Computation for Fitting

Semiparametric Mixture Models—◆Yong Wang,

University of Auckland

9:20 a.m. Efficient Estimation for Generalized Linear Model with Varying Dispersion—◆Zhi He, University of

Illinois at Urbana-Champaign

; Douglas Simpson,

University of Illinois at Urbana-Champaign

9:35 a.m. Estimation and Variable Selection for

Semiparametric Additive Partial Linear Models—

Xiang Liu, University of Rochester Medical Center ;

Li (Lily) Wang, The University of Georgia

; Hua Liang,

University of Rochester

9:50 a.m. Stochastic Ordering Regression: A Semiparametric

Approach to Modeling the Stochastic Ordering of

Response Variables Conditional on Predictors—

Olivier Thas, Ghent University

; Jan R. De Neve,

Ghent University

; Lieven Clement, Ghent University;

Jean-Pierre Ottoy, Ghent University

10:05 a.m. Semiparametric Varying-Coefficient Partially

Linear Model with Auxiliary Covariates—◆Xiaojing

Wang, Duke University ; Yong Zhou, Academy of

Mathematics and Systems Science, Chinese

Academy of Sciences

113

Chair(s): Rebecca Nugent, Carnegie Mellon University

CC-203A

J

Computational Approaches to Hypothesis

Testing—Contributed

Section on Statistical Computing, Interface Foundation of

North America

8:35 a.m.

A Generalized F-Test—◆George R. Terrell, Virginia

Polytechnic Institute and State University

8:50 a.m. Test and Prediction in Multivariate Linear Mixed

Models for Multiple Longitudinal Data—◆Wan-Lun

Wang, National Central University ; Tsai-Hung Fan,

National Central University

9:05 a.m. Tests for Comparing Several Poisson Means—

Jie Peng, St. Ambrose University ; Kalimuthu

Krishnamoorthy, University of Louisiana-Lafayette

9:20 a.m. A Multiple-Testing Procedure Based on the

Jump Size of the p-Values—◆Nasrine Bendjilali,

University of California, San Francisco

; Wei-Min

Huang, Lehigh University

9:35 a.m. General Moments-Based Permutation Tests: A

Framework, Method, and Application—◆Chunxiao

Zhou, University of Illinois at Urbana-Champaign

;

Yongmei (Michelle) Wang, University of Illinois at

Urbana-Champaign

9:50 a.m.

On the Behrens-Fisher Problem: A Globally

Convergent Algorithm and a Finite-Sample Study of the Wald, LR, and LM Tests—◆Alexandre Belloni,

Duke University

; Gustavo Didier, Tulane University

10:05 a.m. Robust Testing of Variability—◆Philip H. Ramsey,

Queens College of CUNY

; Patricia P. Ramsey,

Fordham University

114 CC-143A n

U.S. Census 2010, American Community

Survey, and Canadian Census of Agriculture—

Contributed

Section on Survey Research Methods, Section on

Government Statistics

Chair(s): Stephen M. Miller, Bureau of Labor Statistics

8:35 a.m.

Sample Design for the Census 2010 Experimental

Program—◆Michael Bentley, U.S. Census Bureau

8:50 a.m. Coverage of the Canadian Census of Agriculture—

David A. MacNeil, Statistics Canada

9:05 a.m. ‘You Really Have to Puzzle This Out’: Checking

Residence and Coverage Duplications on a Census

2010 Questionnaire—◆Laurie Schwede, U.S. Census

Bureau

; Anissa Sorokin, U.S. Census Bureau; Virginia

Wake, U.S. Census Bureau

9:20 a.m. Overview of Evaluations of the 2010 Census

Coverage Measurement Program—◆Mary H.

Mulry, U.S. Census Bureau ; Tamara S. Adams,

U.S. Census Bureau

9:35 a.m. Missing Data Methods for CCM Component Error

Estimation—◆Vincent Mule, U.S. Census Bureau;

Donald Malec, U.S. Census Bureau

; Lynn Imel, U.S.

Census Bureau

; Nganha Nguyen, U.S. Census Bureau;

Michael Moldoff, U.S. Census Bureau

9:50 a.m. Is There an Undercount of Medicaid Participants in the ACS Field Test?—◆Brett O’Hara, U.S.

Census Bureau

10:05 a.m. Floor Discussion

115 CC-149B

Sequential Monitoring in Clinical Trials—

Contributed

WNAR

Chair(s): Ruixiao Lu, Affymetrix, Inc.

8:35 a.m. Sequential Monitoring Response-Adaptive

Randomized Clinical Trials—◆Hongjian Zhu,

University of Virginia of Virginia

; Feifang Hu, University

80 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

8:50 a.m. Estimating Information Growth in Longitudinal

Clinical Trials and Settings Leading to

Nonmonotonicity—◆Abigail Shoben, University of Washington

; Kyle Rudser, The University of

Minnesota

; Scott Emerson, University of Washington

9:05 a.m. Analysis of a Composite Endpoint, with Interim

Analysis of Mortality—◆Roland A. Matsouaka,

Harvard School of Public Health

; Rebecca Betensky,

Harvard School of Public Health

9:20 a.m. Conditional Estimation After a Phase II Group

Sequential Diagnostic Biomarker Study—◆Joseph

S. Koopmeiners, University of Washington ; Ziding

Feng, Fred Hutchinson Cancer Research Center

9:35 a.m. Statistical Considerations and Implications of Early

Stopping in the JUPITER Trial—◆Robert J. Glynn,

Brigham and Women’s Hospital

; Paul M. Ridker,

Brigham and Women’s Hospital

9:50 a.m.

116

A New Optimality Property of the Holm Multiple

Testing Procedure—◆Alexander Y. Gordon, The

University of North Carolina at Charlotte

10:05 a.m. Multinomial Group Sequential Design with Exact

Method—◆Jiang Hu, FDA; Aiyi Liu, National

Institute of Child Health and Human Development

;

Chengqing Wu, Yale University

CC-143C

New Statistical Methods in Epidemiologic

Studies—Contributed

Section on Statistics in Epidemiology

Chair(s): Elizabeth R. Zell, CDC

8:35 a.m. On Testing the Homogeneity of Across Quantile

Changing-Point Functions—◆Nanshi Sha, Columbia

University ; Ying Wei, Columbia University

8:50 a.m. Semiparametric Inference for a Two-Stage

Outcome-Auxiliary Dependent Sampling Design with Continuous Outcomes—◆Yuanshan Wu, The

University of North Carolina at Chapel Hill

; Haibo

Zhou, The University of North Carolina at Chapel Hill

9:05 a.m. Evaluating Prenatal PCB Exposure in Relation to Cognitive Function in Children with a Partial

Linear Model—Haibo Zhou, The University of

North Carolina at Chapel Hill

; ◆Guoyou Qin, The

University of North Carolina at Chapel Hill

; Matthew

Longnecker, National Institute of Environmental

Health Sciences

9:20 a.m.

Empirical Likelihood Methods in Efficient Design and Inference of Randomized Clinical Trials—

Xiaoru Wu, Columbia University

; Zhiliang Ying,

Columbia University

9:35 a.m. Use of Variance Component Estimators to Assess

Predictive Model Stability—◆Michael Jones,

Macquarie University

9:50 a.m. Using Empirical Likelihood Confidence Regions to Establish Spirometry Limits—◆Nancy L. Glenn,

Texas Southern University

10:05 a.m. Semiparametric Regression Splines Models for

117 CC-159B n

From Earthquakes to Water: Statistical Models and Risk Analysis—Contributed

Section on Statistics and the Environment

Chair(s): Tatiyana V. Apanasovich, Thomas Jefferson University

118

Detecting Effect Modification in Matched Case-

Crossover Studies—◆Inyoung Kim, Virginia

Polytechnic Institute and State University

;

Ho Kim, Seoul National University

8:35 a.m. Evaluation of Earthquake Prediction Models Using

Residual Analysis for Spatial Point Processes—

Robert A. Clements, University of California,

Los Angeles

8:50 a.m. A Random Effect Epidemic-Type Aftershock

Sequence Model—◆Feng-Chang Lin, University of Wisconsin-Madison

9:05 a.m. Weather-Based Index Insurance Contract Design—

Kenneth Shirley, Columbia University

; Daniel

Osgood, Columbia University

9:20 a.m. Application of Branching Models in the Study of

Invasive Species—◆Earvin Balderama, University of California, Los Angeles

9:35 a.m. Censored data methods for modeling annual peak flood flows—◆John Grego, The University of South

Carolina

; Philip Yates, Cal Poly

9:50 a.m. A Model for Measurements of Lognormally

Distributed Environmental Contaminants—

Charles B. Davis, EnviroStat

10:05 a.m. Comparison of ETAS Parameter Estimates Across

Different Global Tectonic Zones—◆Annie Chu,

University of California, Los Angeles

; Frederic P.

Schoenberg, University of California, Los Angeles

Section on Statistics and Marketing

Chair(s): Wendy W. Moe, University of Maryland

CC-209A

Understanding Consumer Preferences in a

Global Marketplace—Contributed

8:35 a.m. An International Analysis of New Product Diffusion

Speed—◆Brian Hartman, Texas A&M University;

Bani K. Mallick, Texas A&M University ; Debabrata

(Debu) Talukdar, State University of New York at Buffalo

8:50 a.m. Daily Gasoline Prices, Stock Market Indexes,

Consumer Internet Hits, Automobile Incentives, and Automobile Sales for the Forecasting of Future

Short-Term Automobile Model Sales—◆James

Wendelberger, Urban Science Applications, Inc.

Washington, DC 81

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:05 a.m. Pride and Prejudice: Investigating the Symbolic

Properties of Country of Origin in a Land of

Crouching Tigers and Hidden Dragons—Giana

Eckhardt, Suffolk University

; ◆Terry Elrod,

University of Alberta

; Luming Wang, University of Alberta

9:20 a.m. Dynamic Pricing and Asymmetries in Retail

Gasoline Markets: What Can They Tell Us About

Price Stickiness?—◆Ana Maria Herrera, Wayne

State University

; Christopher Douglas, University of Michigan-Flint

9:35 a.m.

Discovering the Banking Customer Groups with

Similar Financial Products—◆Bin Zhang, IBM

China Research Laboratory

; Jin Yan Shao, IBM China

Research Laboratory

; Ming Xie, IBM China Research

Laboratory

; Li Xia, IBM China Research Laboratory;

Wenjun Yin, IBM ; Jin Dong, IBM China Research

Laboratory

9:50 a.m. Customer Value and Willingness-to-Pay for

Eco-Labeled Products—◆Chen Nai-Hua,

Chienkuo Technology University

10:05 a.m. Floor Discussion

119

Variation and Risk—Contributed

Section on Risk Analysis

Chair(s): Chi Wai, UBC

8:35 a.m.

8:50 a.m.

Evaluating Value-at-Risk Models via Quantile

Regressions—◆Luiz Renato Lima, University of

Illinois at Urbana-Champaign

Central Bank of Brazil of Economics

Dual-Time Analytics in Credit Risk Modeling—

9:05 a.m. Regression Modeling of Count Data: Handling

Heavy Tails—◆Sarah LaRocca, Johns Hopkins

University ; Seth D. Guikema, Johns Hopkins

University

CC-141

; Wagner Gaglianone,

; Oliver Linton, London School

Aijun Zhang, University of Michigan

9:20 a.m. Percentile-Based Power Preserving Estimate of

Standard Deviation—◆Yvonne Zubovic, Indiana

University Purdue University Fort Wayne ; Chand

Chauhan, Indiana University Purdue University

Fort Wayne

9:35 a.m. Play Against Random Past Strategy and Its

Application in Expert-Selection Problem—

Mingfei Li, Bentley University

9:50 a.m. Accurate Two-Sided Tolerance Limits for the

Normal Random Effects Model—◆Shun-Yi Chen,

Tamkang University

10:05 a.m. On the Asymptotic Distribution of Likelihood Ratio

Test When Parameters Lie on the Boundary—

Leonid Kopylev, U.S. Environmental Protection

Agency

; Bimal Sinha, University of Maryland,

Baltimore County

120

Nonparametric Estimation and Testing—

Contributed

Section on Nonparametric Statistics

Chair(s): David B. Dahl, Texas A&M University

CC-160

8:35 a.m. Nonparametric Derivative Estimation and the

Computation of Posterior Probabilities for

Nanoparticle Characteristics—◆Richard Charnigo,

University of Kentucky ; Mathieu Francoeur,

University of Kentucky

; Patrick Kenkel, University of

Kentucky

; M. Pinar Menguc, University of Kentucky;

Benjamin K. Hall, University of Kentucky

; Cidambi

Srinivasan, University of Kentucky

8:50 a.m. Parameter Estimation in Two-Sample Location-

Scale Families—◆Cornelis Potgieter, University of Johannesburg

; Fred Lombard, University of Johannesburg

9:05 a.m. Second-Order Properties of Distribution Tails and

Estimation of Tail Exponents in Random Difference

Equations—◆Changryong Baek, The University of

North Carolina at Chapel Hill

; Vladas Pipiras, The

University of North Carolina at Chapel Hill

; Patrice

Abry, ENS Lyon

; Herwig Wendt, Purdue University

9:20 a.m. More on the Estimation of True Positive Rate in FDR

Study—◆Ping-Shi Wu, Lehigh University; Wei-Min

Huang, Lehigh University

9:35 a.m. A Multivariate Median Based on the Minimum

Spanning Tree—◆Amber E. Weyand, The

University of Tennessee

; Adam Petrie, The

University of Tennessee

9:50 a.m. Simultaneous Closeness Among Order Statistics to Population Quantiles—Narayanaswamy

Balakrishnan, McMaster University

; Katherine

Davies, University of Manitoba ; ◆Jerome P. Keating,

The University of Texas at San Antonio

; Robert L.

Mason, Southwest Research Institute

10:05 a.m. Chung-Smirnov Property for Bernstein Estimators of Distribution Functions—◆Alexandre Leblanc,

University of Manitoba

121 CC-209C

Miscellaneous Methodology I—Contributed

IMS

Chair(s): Seo Young Park, The University of North Carolina at

Chapel Hill

8:35 a.m. Censoring by Death: A Study of the Normal-Normal

Mixture Model—◆Michael Freiman, University of Pennsylvania

Pennsylvania

8:50 a.m. The Generalized Linear Mixed Model with

Multinomial Data—◆John Aleong, University of Vermont

; Dylan Small, University of

82 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:05 a.m. Bias Reduction in Generalized Nonlinear Models—

Ioannis Kosmidis, University of Warwick

;

David Firth, University of Warwick

9:20 a.m.

On Functional Logistic Regression Models—

Gery Geenens, The University of Melbourne

;

Peter G. Hall, The University of Melbourne

9:35 a.m. Finite Mixture of Heteroscedastic Single Index

Models—◆Peng Zeng, Auburn University

9:50 a.m. An Almost Nonparametric Model for Missing

Covariates in Parametric Regression—◆Byungtae

Seo, Texas Tech University

10:05 a.m. A Theil-Type Estimate in a Linear Mixed Model—

122

Hanxiang Peng, Indiana University Purdue

University Indianapolis

Unit Roots and Cointegration—Contributed

Business and Economic Statistics Section

Chair(s): Ka S. Man, Western Illinois University

CC-203B

8:35 a.m. Density Functions of Multivariate Augmented Dickey

Fuller Tests with Cross-Sectional Dependence—

Roy Cerqueti, University of Macerata ; Claudio Lupi,

University of Molise

; Mauro Costantini, University of Vienna

8:50 a.m. A Frequency Domain Approach for Testing for

Second-Order Stationarity—◆Yogesh Dwivedi,

Texas A&M University

9:05 a.m. Bootstrap Tests of Stationarity—◆Tara M. Sinclair,

The George Washington University

; James Morley,

Washington University in St. Louis

9:20 a.m. Cointegration Vector Estimation by DOLS for a

Three-Dimensional Panel—◆Luis Melo, Central

Bank of Colombia

; John Leon, Inter American

Development Bank

; Dagoberto Saboya, Central

Bank of Colombia

9:35 a.m. Unit Root Testing and Estimation in Nonlinear

ESTAR Model with Non-Normal Error—◆David

Peel, Lancaster University ; Umair Khalil, University of Peshawar ; Fazli Qadir, University of Peshawar

9:50 a.m. Cross-Sectional Dependence Robust Block

Bootstrap Panel Unit Root Tests—◆Stephan

Smeekes, Maastricht University ; Franz C. Palm,

Maastricht University

; Jean-Pierre Urbain,

Maastricht University

10:05 a.m. Bootstrap Unit Root Tests by a Simple Approach—

Guodong Li, The University of Hong Kong

123 CC-150A n

Issues in Phase II and Dose-Ranging Trials—

Contributed

Biopharmaceutical Section, Section on Bayesian

Statistical Science

Chair(s): Yu-Ling Chang, FDA

8:35 a.m.

Brick Tunnel Randomization: A Way to

Accommodate a Problematic Allocation Ratio in

Adaptive Design Dose-Finding Studies—◆Olga M.

Kuznetsova, Merck & Co., Inc.

; Yevgen Tymofyeyev,

Merck & Co., Inc.

8:50 a.m. A Comparison of False Negative Rates from

Dose-Response Relationship Test Only with

Dose-Response Relationship Test Along with a

Pairwise Test—◆Mohammad Rahman, FDA

9:05 a.m. Convergence of Best Intention Adaptive Designs in Dose-Finding Experiments—◆Yuehui

Wu, GlaxoSmithKline ; Valerii V. Fedorov,

GlaxoSmithKline

9:20 a.m. Modeling Heterogeneity and Its Effect on Design

Parameters in Phase II Clinical Trials—◆Christopher

N. Barnes, University of Louisville ; Shesh N. Rai,

University of Louisville

9:35 a.m. Consonant Closed Test Procedures in Dose-

Response Study—◆Bushi Wang, University of

California, Riverside

; Xinping Cui, University of

California, Riverside

9:50 a.m. A Hierarchical Bayesian Approach for Controlled

Phase II Cancer Trials in Heterogeneous

Diseases—◆Lanjia Lin, Florida State University;

Jyotirmoy Dey, Novartis Pharmaceuticals

; Lumay

Chiang, Novartis Oncology

10:05 a.m. An Alternative to the Peto Analysis for Two-Year

Carcinogenicity Studies and to Tarone’s Test for

Trend on Censored Survival Data—◆Arthur Roth,

AJR Statistical Consulting

Washington, DC 83

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Longtime Member

Reception

BY INVITATION ONLY

Government statistics

02 Trends in the Prevalence of Selected Chronic Health

Conditions Among US Adults by Sociodemographic

Characteristics: NHIS 1997–2007—◆Abera Wouhib, CDC;

Meena Khare, CDC

03 Prevalence of Pregnant Women in the United

States from Continuous NHANES (1999–2006)—

Lisa B. Mirel, CDC

; Lester R. Curtin, CDC; Jaime Gahche,

CDC

; Vicki L. Burt, National Center for Health Statistics

Sampling and survey methodology

04 Estimating Variance Components for Health Examination

Surveys—◆Te-Ching Chen, CDC; Lester R. Curtin, CDC

Monday, August 3

6:30 p.m. – 7:30 p.m.

Renaissance Washington, DC, Hotel

Grand Ballroom North

If you joined the ASA 35 or more years ago, the American Statistical Association would like to thank you for your longtime support.

Please join us for a reception in your honor.

Government statistics

05 Modifying the Three-Process Model of Alertness for

Accelerometer Data and Its Correlation with Sleep—

James Slaven, National Institute for Occupational Safety and Health

; John M. Violanti, State University of New York at Buffalo

; Ja K. Gu, National Institute for Occupational

Safety and Health

; Michael E. Andrew, National Institute for Occupational Safety and Health ; Luenda E. Charles,

National Institute for Occupational Safety and Health ; Bryan

Vila, Washington State University

; Cecil Burchfiel, National

Institute for Occupational Safety and Health

06 Estimating Extreme Percentiles for BMI: Minimum

Sample Size Required and Sensitivity to Kurtosis—

Lester R. Curtin, CDC

; Te-Ching Chen, CDC

Sponsored by the ASA Membership Retention and

Recruitment Committee

125 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

Section on Government Statistics

Chair(s): Lara Schmidt, RAND Corporation

Poster Presentations

8:30 a.m.–10:20 a.m.

124 CC-L Street Bridge n

Topic-Contributed Oral Poster Presentations:

Government Health Statistics—Topic-

Contributed

Section on Government Statistics

Organizer(s): Sunghee Lee, University of California, Los Angeles

Chair(s): Lara Schmidt, RAND Corporation

Government statistics

07 Sole Proprietor Income Tax Noncompliance: Changes from 1988 to 2001—◆Katherine L. Fox, IRS; Janice T.

Hu, IRS

08 Obtaining User Needs While Protecting Individually

Identifiable Data for the Survey of Earned Doctorates—

Stephen Cohen, National Science Foundation ; Mark

Fiegener, National Science Foundation

09 Monitoring Monthly State Estimation Using Time Series

Analysis and Review System (STARS) Tables—◆Jennifer

Oh, Bureau of Labor Statistics ; Richard Tiller, Bureau of

Labor Statistics

Applications and case studies

01 Analysis of zero-inflated data from the OSHA worksite inspection system—◆Jia Li, National Institute for

Occupational Safety and Health ; Scott Henn, National

Institute for Occupational Safety and Health

; Aaron Sussell,

National Institute for Occupational Safety and Health

Social and behavioral science

10 Tracking the Changes in CPI-W: History of Wage Earner and Clerical Worker Occupations—◆Mary Lynn Schmidt,

Bureau of Labor Statistics

84 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Applications and case studies

11 Designing Sample Panel for the Federal Reserve’s

Quarterly Report of Credit Card Interest Rates—

Lisa Chen, Federal Reserve Board

Applications and case studies

19 Modeling Item-Response Data with Fatigue—◆Oliver

Entine, University of Pennsylvania

20 The Potential for Formal Statistical Analysis to Assist

Courts with Relatively Small Data Set—◆Joseph L.

Gastwirth, The George Washington University

;

Qing Pan, The George Washington University

126 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

Section for Statistical Programmers and Analysts

Linear models, GLMs, parametric methods

21 Modeling Mexican Return Migration Decisions—◆Claudia

P. Masferrer, The University of Texas at Austin

Spatial statistics, spatio-temporal modeling, GIS

12 Two Algorithms of Searching Spatially Continuous Mark

Clusters in Marked Point Process—◆Huaguo Wang,

QinetiQ North America/Technology Solutions Group/PSI

;

Michael Schucking, QinetiQ North America/Technology

Solutions Group/PSI

Social and behavioral science

22 Modeling Social Interaction and Collaboration Among

Graduate Students—◆Ranran Wang, University of

Washington

; Mark S. Handcock, University of Washington

Applications and case studies

23 An Experimental Constrained Model of Stereotype

Threat—◆Maria Cohenour, University of Oklahoma;

Robert Terry, University of Oklahoma

127 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

Social Statistics Section

Chair(s): Lara Schmidt, RAND Corporation

Policy and Statistics

24 Simultaneous Statistical Inference in Evaluating Teacher

Performance—◆Bing Han, RAND Corporation

Longitudinal data, repeated measurements, and meta-analysis

13 Sample Size and Power Calculations for Correlations

Between Bivariate Longitudinal Data—◆Warren S.

Comulada, University of California, Los Angeles

;

Robert E. Weiss, University of California, Los Angeles

Social and behavioral science

25 Tell Me Who’s Your Friend and I’ll Tell You Who You Are—

Andrew Gelman, Columbia University ; Johannes Ruf,

Columbia University

; Amal Moussa, Columbia University;

Tian Zheng, Columbia University

; Tom DiPrete, Columbia

University

; Julien Teitler, Columbia University

Policy and Statistics

14 Using Regression and Queuing Theory to Establish Voting

Machine Allocation Laws—◆Theodore Allen, The Ohio

State University

; Fritz Scheuren, NORC at the University of

Chicago

; Mikhail Bernshteyn, Sagata Ltd.

Incomplete data analysis, imputation methods

26 Using Income Imputation Techniques to Improve

Evaluation of Outreach Efforts for Low-Income Medicare

Beneficiaries—◆Frank Funderburk, Centers for Medicare and Medicaid Services ; Christopher Koepke, Centers for

Medicare and Medicaid Services

; Thomas Kickham,

Centers for Medicare and Medicaid Services

Social and behavioral science

15 Mixed Models and Q-Connectivity Graphs for Dynamics of

Social Interactions—◆Burcu Eke, Arizona State University;

Sharon Lohr, Arizona State University

16 Development of Linear Matrix Model: Application of

Ecological Model for Longitudinal Study of Bosnian

Refugees’ Adaptation—◆Lisa M. Willoughby, Saint Louis

University

; Ian H. Redmount, Saint Louis University;

Hisako Matsuo, Saint Louis University ; Wai Hsien Cheah,

Southern Illinois University Edwardsville

; Ajlina Karamehic-

Muratovic, Missouri Institute of Mental Health

; Terry J.

Tomazic, Saint Louis University

17 Variable Selection for Propensity Models—◆Bing Yu,

University of Toronto

; Guanglei Hong, University of Toronto

18 Identification, Inference, and Sensitivity Analysis for

Causal Mediation Effects—Kosuke Imai, Princeton

University

; Luke Keele, The Ohio State University;

Teppei Yamamoto, Princeton University

Social and behavioral science

27 From RCTs to Evidence Grading Schemes: The Current

State of Evidence-Based Practice in Social Sciences—

Robert Boruch, University of Pennsylvania

; ◆Ning Rui,

University of Pennsylvania

Washington, DC 85

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

128 CC-Hall D

Topic-Contributed Oral Poster Presentations:

Special Adjustments for Official Time Series—

Topic-Contributed

Business and Economic Statistics Section

Organizer(s): Brian C. Monsell, U.S. Census Bureau

Chair(s): Lara Schmidt, RAND Corporation

130 CC-Hall D

Contributed Oral Poster Presentations—

Contributed

Business and Economic Statistics Section

Chair(s): Lara Schmidt, RAND Corporation

Time series, wavelet analysis, signal processing

28 Update on the Development of X-13A-S—

Brian C. Monsell, U.S. Census Bureau

29 Detecting Stock Calendar Effects in US Census Bureau

Inventory Series—◆Natalya Titova, U.S. Census Bureau;

Brian C. Monsell, U.S. Census Bureau

30 Constructing an Easter Regressor for a Stock Series in

X-12-ARIMA—Julian Chow, Office for National Statistics;

Begona Martin, Office for National Statistics ; Kevin

Moore, Office for National Statistics

Computational statistics, numerical methods, simulation

35 Optimal Forecasting with Conditionally Heteroskedastic

Factor Analyzed Hidden Markov Models—◆Mohamed

Saidane, University of Montpellier II

; Christian Lavergne,

University of Montpellier II

Business, financial, and marketing statistics

36 The Determinants of Economic Growth in ECOWAS

Countries—Brian W. Sloboda, U.S. Postal Service;

Kalamogo Coulibaly, U.S. Postal Service ; Yaya

Sissoko, Indiana University of Pennsylvania

129 CC-Hall D

Topic-Contributed Oral Poster Presentations:

Software for Seasonal Adjustment and

Benchmarking—Topic-Contributed

Business and Economic Statistics Section

Organizer(s): Brian C. Monsell, U.S. Census Bureau

Chair(s): Lara Schmidt, RAND Corporation

Time series, wavelet analysis, signal processing

37 Efficiently Forecasting Thousands of Employment Series for Sub-State Areas—◆David E. Byun, Bureau of Labor

Statistics

; Thomas Evans, Bureau of Labor Statistics

Computational statistics, numerical methods, simulation

38 The Virtues of VAR Forecast Pooling: A DSGE Model-

Based Monte Carlo Study—◆Steffen Henzel, Ifo Institute for Economic Research

; Johannes Mayr, Ifo Institute for

Economic Research

Time series, wavelet analysis, signal processing

31 PROC TSRAKING: An In-House SASÆ Procedure for

Balancing Time Series—◆Joana Bérubé, Statistics

Canada ; Susie Fortier, Statistics Canada

32 Recent Developments in Statistics Canada’s Time Series

Processing System: Transition to SASÆ PROC X12—

Michel Ferland, Statistics Canada ; Susie Fortier,

Statistics Canada

33 X-12-ARIMA vs. PROC X12: The UK Experience—◆Gary

Brown, Office for National Statistics ; Emma Hooper, Office for National Statistics ; David Rose, SAS Institute Inc.

34 Simplifying Seasonal Adjustment Using X-12-ARIMA with Win X-12 and X-12-Graph—◆Demetra Lytras,

U.S. Census Bureau

Reliability and survival modeling, risk analysis

39 A Copula Model for Dependent Competing Risks—

Ralf Wilke, University of Nottingham ; Simon Lo,

University of Freiburg

Bootstrap, resampling methods

40 Sieve Bootstrap Prediction Intervals for Multivariate ARMA

Models—◆Purna Mukhopadhyay, The University of Kansas

Medical Center

; V. A. Samaranayake, Missouri University of

Science and Technology

Time series, wavelet analysis, signal processing

41 Modeling Hourly Real-Time Electricity Load in the

MISO Market—◆Prasenjit Shil, Ameren Services; V.

A. Samaranayake, Missouri University of Science and

Technology ; Asitha Edirisingha, Missouri University of

Science and Technology

Applications and case studies

42 Modeling Hourly Day-Ahead Electricity Demand in the

MISO Market—◆V. A. Samaranayake, Missouri University of Science and Technology

; Prasenjit Shil, Ameren Services;

Asitha Edirisingha, Missouri University of Science and Technology

86 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Business, financial, and marketing statistics

43 Modeling Conditional Variance Functions in

Nonparametric Transfer Function Models—◆Jun M. Liu,

Georgia Southern University

44 Dynamic Pricing the Revenue Insurance Contracts: A

Time-Varying Copula Model—◆Ying Zhu, North Carolina

State University

; Sujit Ghosh, North Carolina State

University

; Barry Goodwin, North Carolina State University

Business, financial, and marketing statistics

54 Investment Strategy and Decisions—Les Yen, University of Phoenix

; ◆Gretchen Colon-Miranda, University of

Phoenix/NVA

Bayesian statistics, hierarchical models

55 The Application of the Bayesian Statistics in Portfolio

Selection: Background and Case Study of the S&P 500

Yearly Returns—◆Isaac Kpodonou, University of the

District of Columbia Semiparametric and nonparametric methods

45 Asymptotic Efficiency and Finite-Sample Properties of the Generalized Profiling Estimation of the Parameters in Ordinary Differential Equations—◆Xin Qi, Yale

University ; Hongyu Zhao, Yale University; Hongyu

Zhao, Yale University

Spatial statistics, spatio-temporal modeling, GIS

56 Cautionary Tales on Spatial Weights—◆Jerry Platt,

University of Redlands

Business, financial, and marketing statistics

46 Foreign Direct Investment in Mobile Technology:

An Exploratory Study in Emerging African Market—

Charles A. Malgwi, Bentley University

; ◆Olumayokun

Soremekun, Bentley University

; Dominique Haughton,

Bentley University

47 A New Way of Gini Coefficient Decomposition and Its

Application to the Chinese National Macro-Economy

Data—◆Xu Cao, Southwestern University of Finance and Economics

Business, financial, and marketing statistics

57 Nonlinear Models of the Bond/Commodity Price

Interaction: Evidence from Daily Data—◆Yuliya V. Yurova,

University of Illinois at Chicago

; Houston H. Stokes,

University of Illinois at Chicago

58 Efficient Quantile Regression—◆Yoonsuh Jung, The Ohio

State University

; Yoonkyung Lee, The Ohio State University;

Steven N. MacEachern, The Ohio State University

Economics, game theory

59 Recession Statistics 101—Les Yen, University of Phoenix;

Heather Posey, University of Phoenix/NVA

Transportation statistics

48 Network Analysis of U.S. Domestic Air Transportation

Network—◆Guangying Hua, Bentley University; Yingjie

Sun, Boston University

; Dominique Haughton, Bentley

University

Linear models, GLMs, parametric methods

51 Restricted Linear Models: Which Estimator Performs

Better?—◆Luis Frank, University of Buenos Aires

Mathematical statistics, distribution theory, robust statistics

60 Variable Selection, Constrained and Shrinkage Estimation in Multivariate Regression Models—◆Ejaz S. Ahmed,

University of Windsor

; Severien Nkurunziza, University of Windsor

Spatial statistics, spatio-temporal modeling, GIS

49 Space-Time Modeling and Boundary Analysis of European

Unemployment Rates—◆Kevin Bartz, Harvard University

Business, financial, and marketing statistics

50 A Longitudinal Study of Nigerian Stock Prices—◆Dallah

Hamadu, University of Lagos

; Ismaila Adeleke, University of Lagos

Computational statistics, numerical methods, simulation

61 Searching for the Perfect Storm: Regime Switching

Correlations and Value at Risk—◆Lu Zhang,

Penn State University

Business, financial, and marketing statistics

62 A Model of Leadership and Team Processes:

A Multivariate Application—◆Andrea Roofe,

Florida International University

Economics, game theory

52 Do Laspeyres Preferences Still Hold True? An Evaluation of the Expenditure Weights from the Consumer Price

Index—◆Joshua Klick, Bureau of Labor Statistics

Semiparametric and nonparametric methods

63 Volatility and Jump Dynamics in US Energy Futures

Markets—◆Carl J. Bjursell, George Mason University;

James E. Gentle, George Mason University

; George H.K.

Wang, George Mason University

Computational statistics, numerical methods, simulation

53 Improving Prediction Accuracy of Logistic Regression—

Zhiyuan Dong, University of Cincinnati ; Martin Levy,

University of Cincinnati

; Yan Yu, University of Cincinnati

Business, financial, and marketing statistics

64 A Statistician Hedges Options—◆James Delaney,

Temple University

Washington, DC 87

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

65 Modeling Uncertainty in Daily Asset Returns Using ARCH/

GARCH Models—◆Linda Njoh, Baylor University; Jane L.

Harvill, Baylor University

131 CC-Hall D

Contributed Oral Poster Presentations—

Contributed

Section on Statistics and Marketing

Chair(s): Lara Schmidt, RAND Corporation

Business, financial, and marketing statistics

66 The Benefits of Portfolio Rebalancing and How They Can

Be Achieved—◆Yaqing Si, Iowa State University

Health policy, epidemiology, public health

67 Determining Optimal Sample Amounts for Bucketed

Mailings in Over-the-Counter Pharmaceutical Marketing—

Martin B. Selzer, KMK Consulting

Mathematical statistics, distribution theory, robust statistics

68 On Optimal Stopping Rules of Mixtures of Regression

Lines—◆Ping-Hung Hsieh, Oregon State University

Bayesian statistics, hierarchical models

73 Bayesian Normal Mixture Modeling: A Case Study in CT

Scanning—◆Clair L. Alston, Queensland University of

Technology

; Kerrie Mengersen, Queensland University of Technology

74 A Comparison of Minimum Description Length Scores for Bayesian Networks—◆Jason LaCombe, University of

Rochester Medical Center

; Anthony Almudevar, University of Rochester Medical Center

75 Bayesian Analysis and Classification of Two Quantitative

Diagnostic Tests with False Negatives and No Gold

Standard—◆Jingyang Zhang, The University of Iowa;

Kathryn Chaloner, The University of Iowa ; Jack Stapleton,

The University of Iowa

76 Modeling Prior Knowledge in Developing a Bayesian

Network—◆Futoshi Yumoto, American Institutes for

Research ; Rochelle E. Tractenberg, Georgetown

University Medical Center

77 Dangers of Transforming ‘Noninformative’ Prior

Distributions—◆John W. Seaman, III, Baylor University;

John W. Seaman, II, Baylor University

; James Stamey,

Baylor University

78 Nonparametric Bayesian Modeling of Scaled Item

Response Data—Kristin Duncan, San Diego State

University

; ◆José S. Fuentes, San Diego State University

132 CC-Hall D

Contributed Oral Poster Presentations—

Contributed

Section on Bayesian Statistical Science

Chair(s): Lara Schmidt, RAND Corporation

Reliability and survival modeling, risk analysis

79 Bayesian Parametric Survival Alternatives with

Biopharmaceutical Applications—◆Lindsay A. Renfro,

Baylor University

Bayesian statistics, hierarchical models

69 Bayesian Estimation in Nonstandard Finite Mixture Models with Application to an Exposure Data Set—◆Miranda

L. Lynch, University of Rochester School of Medicine and

Dentistry

; Sally W. Thurston, University of Rochester

70 In Search of Sasquatch—◆Jennifer B. Emerson, Texas

Tech University

; Robert F. Martin, Federal Reserve Board;

Bo He, The University of Texas

; Clyde Martin, Texas

Tech University

71 Elicitation of Prior Distributions for Bayesian Phylogeny—

Xiting Yang, Carnegie Mellon University/FDA

; Joseph

Kadane, Carnegie Mellon University

Bayesian statistics, hierarchical models

80 Two-Class Prediction with Model Selection and

Averaging—◆Wensong Wu, University of South Carolina;

Edsel A. Pena, University of South Carolina

81 Bayesian Method for Misclassified Multinomial Data with

Prior Information and External Data—◆Yi Qian, Amgen,

Inc.

; Deukwoo Kwon, National Cancer Institute; Jeesun

Jung, Indiana University School of Medicine

82 An Application of the Spatial Bayesian Variable Selection to fMRI Time-Series Data—◆Kuo-Jung Lee, The University of Minnesota-Twin Cities

Modeling in Ecology

83 Parameter Updating Suppression Scheme for Wireless

Sensor Networks—◆Kristian Lum, Duke University

Reliability and survival modeling, risk analysis

72 Bayesian Inference for Power Low Processes with

Applications in Repairabble Systems—◆Maristela

D. Oliveira, Universidade Federal da Bahia

; Gustavo L.

Gilardoni, Universidade De Brasilia ; Enrico A. Colosimo,

Universidade Federal de Minas Gerais

Bayesian statistics, hierarchical models

84 Individual-Level Residual Diagnostics for Bayesian

Structural Equation Models—◆Abbie Stokes-Riner,

University of Rochester ; Sally W. Thurston, University of

Rochester

85 Improving Predictions of Dwarf Mistletoe Incidence in

Black Spruce Using Bayesian Hierarchical Models—

Ephraim Hanks, Utah State University

; Mevin B.

Hooten, Utah State University

; Frederick A. Baker,

Utah State University

88 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

133 CC-Hall D

Contributed Oral Poster Presentations—

Contributed

Section on Statistics in Sports

Chair(s): Lara Schmidt, RAND Corporation

Biometrics, bioinformatics, computational biology

95 Design of Multi-User, Multi-Tasking Needs, Multi-Treatment-

Allocation Support in a Web-Based Minimization Random

Allocation System—Wei Li, Peking Union Medical College;

Zheng Wang, National Center for Cardiovascular Diseases

;

Yi Sun, National Center for Cardiovascular Diseases

96 Sample Size Estimation in Microarray Experiments—

Wei-Jiun Lin, National Central University

; James Chen,

National Center for Toxicological Research

Sports, art, entertainment

86 Predicting the Atlanta Falcons Play-Calling Using

Discriminant Analysis—◆Erik L. Heiny, Utah Valley

University

; David Blevins, Gaston Community College

87 National Football League Regular Season Team Statistics vs. Winning Performance and Playoff Level Success: A

Multivariate Exploratory Analysis—◆Charles Fisk, U.S.

Department of Defense

88 Explaining Success in Baseball: The Local Correlation

Approach—Jeff Hamrick, Boston University; ◆John Rasp,

Stetson University

89 The Rise and (Inevitable) Fall of Baseball’s Grand Slam—

Julia Seaman, Genentech, Inc.

; Elaine Allen,

Babson College

90 A Brief Review of Statistical Applications in Cricket

Data—Ananda Manage, Sam Houston State University;

Nandun S. Ranwala, Sam Houston State University

;

Danush Wijekularathna, Sam Houston State University

91 Determination and Analysis of Factors Determining the Outcomes of National Football League Games—

Christopher Cohea, CEC Statistical Consulting

; Mark E.

Payton, Oklahoma State University

134 CC-Hall D

Contributed Oral Poster Presentations—

Contributed

International Chinese Statistical Association, Section on

Government Statistics

Chair(s): Lara Schmidt, RAND Corporation

Health policy, epidemiology, public health

92 Statistical Consideration on the Guidance for Diagnostic

Devices in China—◆Sun Yi, The Chinese Academy of

Medical Sciences

; Wei Li, Peking Union Medical College

Invited Sessions

10:30 a.m.–12:20 p.m.

135 CC-202B n

After Celebration of the 100th Anniversary of

Hardy-Weinberg Law—Invited

ENAR, WNAR

Organizer(s): Gang Zheng, National Heart, Lung, and Blood Institute

Chair(s): Joseph L. Gastwirth, The George Washington University

10:35 a.m. A Heterozygote-Homozygote Test of Hardy-

Weinberg Equilibrium Using Related Individuals—

Janet S. Sinsheimer, University of California, Los

Angeles

; Jin Zhou, University of California, Los

Angeles ; Kenneth Lange, University of California,

Los Angeles ; Jeanette Papp, University of California,

Los Angeles

11:00 a.m.

Current Applications of the Hardy-Weinberg

Law—◆Bruce Weir, University of Washington

11:25 a.m.

Hardy-Weinberg Equilibrium and Genetic

Disequilibrium Mapping—◆Abigail Matthews,

Rockefeller University ; Yuanyuan Shen, Chinese

Academy of Sciences

; Zhe Liu, Chinese Academy of

Sciences

; Jurg Ott, Rockefeller University/Chinese

Academy of Sciences

11:50 a.m. Disc: Dmitri Zaykin, National Institute of

Environmental Health Sciences

12:10 p.m.

Floor Discussion

Biometrics, bioinformatics, computational biology

93 Incorporating Biological Knowledge Into Hierarchical

Clustering with a Rank-Two Ellipse Seriation in Gene

Expression Profiles—Han-Ming Wu, Tamkang University;

Chun-Fu Tsao, Tamkang University

Medical devices

94 Comparison of Different Statistical Analysis Strategy on Evaluating Drug Eluting Stent Trial—Wei Li, Peking

Union Medical College ; ◆Yang Wang, National Center for

Cardiovascular Diseases

Washington, DC 89

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

136 CC-202A n J

Recent Advances in Missing Data and

Causal Inference—Invited

Biopharmaceutical Section, Section on Statistics in Epidemiology

Organizer(s): Recai M. Yucel, State University of New York at Albany

Chair(s): Recai M. Yucel, State University of New York at Albany

138 CC-207B

Recent Advances in Statistical Learning and

Computing for Massive High-Dimensional

Data—Invited

ASA Special Interest Group on Statistical Learning and

Data Mining, Interface Foundation of North America

Organizer(s): Hui Zou, University of Minnesota

Chair(s): Jinchi Lv, University of Southern California

10:35 a.m.

Every Missing Not at Random Model for Incomplete

Data Has a Missing at Random Counterpart with

Equal Fit—◆Geert Molenberghs, Hasselt University/

Katholieke Universiteit Leuven

; Michael G. Kenward,

London School of Hygiene and Tropical Medicine

;

Geert Verbeke, Katholieke Universiteit Leuven

;

Caroline Beunckens, Hasselt University ; Cristina

Sotto, Hasselt University

11:00 a.m. Causal Modeling When the Treatment Is a Latent

Class—◆Joseph L. Schafer, Penn State University;

Joseph Kang, Northwestern University

11:25 a.m. The Infinite Dimension of the Data Revealed by a Perfectly Executed Measurement of a Scalar

Variable—◆Constantine Frangakis, Johns

Hopkins University

11:50 a.m. Disc: Donald B. Rubin, Harvard University

12:10 p.m. Floor Discussion

10:35 a.m.

Forward-Lasso Adaptive Shrinkage—◆Gareth

James, University of Southern California ; Peter

Radchenko, University of Southern California

11:05 a.m. Partial Correlation Estimation by Joint Sparse

Regression Models—◆Ji Zhu, University of

Michigan

; Jie Peng, University of California, Davis;

Pei Wang, Fred Hutchinson Cancer Research Center;

Nengfeng Zhou, University of Michigan

11:35 a.m. On Localized Dimension Reduction and Variable

Selection—◆Xiangrong Yin, The University of

Georgia

; Qin Wang, The University of Georgia;

Bing Li, Penn State University

; Zhihui Tang,

Penn State University

12:05 p.m. Floor Discussion

137 CC-209B n

Assessing and Modeling Spatial Variability and Uncertainty—Invited

Section on Statistics and the Environment, Section on Bayesian

Statistical Science

Organizer(s): Ronald McRoberts, U.S. Forest Service

Chair(s): Mary C. Christman, University of Florida

139 CC-158A n J

Contemporary Bayesian Generalized Linear

Models—Invited

Section on Bayesian Statistical Science

Organizer(s): Sourish Das, Duke University

Chair(s): Santanu Pramanik, NORC at the University of Chicago

10:35 a.m.

Modeling Soil Type Spatial Distribution Using

Markov Random Fields—◆Gerard B.M.

Heuvelink, Wageningen University

; R. Murray

Lark, Rothamsted Research

11:00 a.m. Inferential Effects of Using Spatial Natural Resource

Data from Independent Sources—◆Ronald

McRoberts, U.S. Forest Service

11:25 a.m. An Adaptive Predictive Process Modeling Approach for Large Spatial-Temporal Data Sets—◆Andrew

Finley, Michigan State University ; Sudipto Banerjee,

The University of Minnesota

; Alan E. Gelfand,

Duke University

11:50 a.m. A Closer Look at Statistical Inference with

Geographically Weighted Regression Models—

Carol Gotway Crawford, CDC

; Linda J. Young,

University of Florida

12:15 p.m. Floor Discussion

10:35 a.m. Generalized Linear Models for a Correlation

Matrix in Longitudinal Data—◆Michael J. Daniels,

University of Florida

11:00 a.m. Nonparametric Bayes Random Effects Modeling

Using Kernel Local Partition Processes—◆David

Dunson, Duke University

11:25 a.m. Bayesian Analysis of Longitudinal Binary Data

Using Multivariate Bridge and Other Random

Effects Models—◆Bani K. Mallick, Texas A&M

University

; Souparno Ghosh, Texas A&M University;

Debajyoti Sinha, Florida State University

; Stuart

Lipsitz, Brigham and Women’s Hospital

11:50 a.m.

Power Filter for Dynamic Models—◆Sourish

Das, Duke University

; Dipak K. Dey, University of Connecticut

12:15 p.m. Floor Discussion

90 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

140 CC-102B

J

From Oil Wells to Windmills: Can the Federal

Statistical System Adapt to Changing Needs for

Energy Data?—Invited

Committee on Energy Statistics

Organizer(s): Janice Lent, Energy Information Administration

Chair(s): Nagaraj K. Neerchal, University of Maryland,

Baltimore County

142 CC-149B n

Are the Paradigms for Design of Experiments

Changing?—Invited

Section on Physical and Engineering Sciences, International Indian

Statistical Association, Section on Quality and Productivity

Organizer(s): Philip J. Ramsey, University of New Hampshire

Chair(s): Philip J. Ramsey, University of New Hampshire

10:35 a.m.

Effect of Energy Import Costs on U.S. Real Gross

Domestic Income—◆Marshall B. Reinsdorf, Bureau of Economic Analysis

11:00 a.m. Meeting Energy Data Needs in a Changing Energy

Environment—◆Janice Lent, Energy Information

Administration

11:25 a.m. Characterization, Evaluation, and Management of Prospective Benefits, Costs, and Risks in the Development of New Statistical Programs for Energy—◆John L. Eltinge, Bureau of Labor

Statistics

; Polly Phipps, Bureau of Labor Statistics

11:50 a.m. Disc: Edward Blair, University of Houston

12:10 p.m. Floor Discussion

10:35 a.m.

Are the Paradigms for Design of Experiments

Changing?—◆Bradley A. Jones, SAS Institute Inc.

11:00 a.m. Comparing Computer-Generated Designs: Are

G-Optimal Designs the Best Choice?—◆Douglas C.

Montgomery, Arizona State University

11:25 a.m. Model Robust and Model Discriminating Designs—

Christopher Nachtsheim, The University of Minnesota

11:50 a.m. Disc: Geoff G. Vining, Virginia Polytechnic Institute and State University

12:10 p.m.

Floor Discussion

141

Case Studies in Complex Bayesian

Computation—Invited

CC-144C

Section on Statistical Computing, Section on Bayesian

Statistical Science

Organizer(s): Carlos M. Carvalho, The University of Chicago

Chair(s): Carlos M. Carvalho, The University of Chicago

143 n J

It’s a Dangerous World—Invited

CC-206

Section on Risk Analysis, Social Statistics Section, Section on

Government Statistics

Organizer(s): Bertrand Clarke, The University of British Columbia/

University of Miami

Chair(s): Bertrand Clarke, The University of British Columbia/

University of Miami

10:35 a.m.

Adaptive Mixture Modeling Metropolis Methods for Bayesian Analysis of Nonlinear State-Space

Models—◆Jarad Niemi, Duke University; Mike

West, Duke University

11:05 a.m. Orthant-Normal Shrinkage Priors in Regression—

Christopher Hans, The Ohio State University

11:35 a.m. Particle Learning and Smoothing—◆Hedibert F.

Lopes, The University of Chicago

; Carlos M. Carvalho,

The University of Chicago

; Nicholas Polson, The

University of Chicago ; Michael Johannes, Columbia

Business School

12:05 p.m. Floor Discussion

10:35 a.m.

Uses and Generalizations of the Incremental

Cost Effectiveness Ratio (ICER) in CE Health

Studies—◆Andres Christen, Center for Mathematical

Research

; Peter Müller, The University of Texas M.D.

Anderson Cancer Center

; Tina Shih, The University of

Texas M.D. Anderson Cancer Center

11:00 a.m. Terrorist Risk Assessment—◆Alyson Wilson, Iowa

State University

11:25 a.m.

Model Risk in the Analysis of Personal Credit—

Robert Stine, The Wharton School

11:50 a.m. Out of Sight, Out of Mind: The Statistical

Whitewashing of Chronic Occupational Disease—

Adam M. Finkel, University of Medicine and

Dentistry of New Jersey

12:15 p.m. Floor Discussion

Washington, DC 91

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

144 CC-101

Factors Affecting the Accuracy of the 2008

Presidential Election Polling—Invited

American Association of Public Opinion Research, Section on

Survey Research Methods, Social Statistics Section

Organizer(s): Paul J. Lavrakas, Consultant

Chair(s): Trevor Thompson, The Associated Press

146 CC-209C

Semiparametric Methods with High-Dimensional

Data—Invited

IMS, International Chinese Statistical Association, Biometrics

Section, Biopharmaceutical Section, Interface Foundation of

North America

Organizer(s): Donglin Zeng, The University of North Carolina at

Chapel Hill

Chair(s): Donglin Zeng, The University of North Carolina at

Chapel Hill

10:35 a.m.

Election Polling Challenges: Cell Phones, the

Bradley Effect, and Voter Turnout—◆Scott Keeter,

Pew Research Center

10:55 a.m. Methodological Issues in ABC News 2008

Pre-Election Polling—Gary Langer, ABC News;

Jon Cohen, The Washington Post

11:15 a.m. Limitations of Recorded-Voice Telephone Polling in Election 2008: Is This Method of Data Collection

Doomed in 2012?—◆Jay H. Leve, SurveyUSA

11:35 a.m. Inferences from Matched Samples in the U.S.

National Elections from 2004 to 2008—◆Douglas

Rivers, YouGov Polimetrix

11:55 a.m. Disc: Paul J. Lavrakas, Consultant

12:15 p.m.

Floor Discussion

10:35 a.m.

Identification of Cancer-Associated Gene Pathways from Analysis of Expression Data—◆Shuangge Ma,

Yale University

; Michael Kosorok, The University of

North Carolina at Chapel Hill

11:05 a.m. Variable Selection in Nonparametric Additive

Models—◆Jian Huang, The University of Iowa; Joel

Horowitz, Northwestern University

; Fengrong Wei,

The University of Iowa

11:35 a.m. Variable Selection Using the Seamless L0 (SEAL)

Method—◆Xihong Lin, Harvard School of

Public Health

12:05 p.m. Floor Discussion

145 CC-102A

JASA, Theory and Methods Invited Session—

Invited

JASA, Theory and Methods

Organizer(s): Leonard A. Stefanski, North Carolina State University

Chair(s): Leonard A. Stefanski, North Carolina State University

147

IMS Medallion Lecture III—Invited

IMS, Section on Government Statistics

CC-207A

Organizer(s): Xiaotong Shen, The University of Minnesota

Chair(s): Bernard W. Silverman, St. Peter’s College, University of Oxford

10:35 a.m. Prediction in Measurement Error Models—Raymond

J. Carroll, Texas A&M University

; ◆Aurore Delaigle,

University of Bristol

; Hall Peter, The University of Melbourne

11:15 a.m. Disc: Jianqing Fan, Princeton University

11:35 a.m.

Disc: John Staudenmayer, University of

Massachusetts

11:55 a.m. Rejoinder: Aurore Delaigle, University of Bristol

12:10 p.m. Floor Discussion

10:35 a.m. High-Dimensional Inference: From Sparse Signals

Recovery to Covariance Matrix Estimation—

Tony Cai, University of Pennsylvania

12:00 p.m. Floor Discussion

Invited Panels 10:30 a.m.–12:20 p.m.

148 CC-143B

J

Protecting Individual Privacy in the Struggle

Against Terrorism—Invited

Section on Statistics in Defense and National Security, Social

Statistics Section

Organizer(s): Myron J. Katzoff, National Center for Health Statistics

Chair(s): Lawrence H. Cox, National Center for Health Statistics

Panelists:

Daniel Weitzner, Massachusetts Institute of

Technology

Michael L. Cohen, Committee on National Statistics

Betty Chemers, National Academy of Sciences

Herb Lin, National Academy of Sciences

12:15 p.m.

Floor Discussion

92 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Topic-Contributed Sessions

10:30 a.m.–12:20 p.m.

149 CC-201 n

Practical Considerations for Handling

Missing Data in Controlled Clinical Trials—

Topic-Contributed

Biopharmaceutical Section

Organizer(s): Abdul J. Sankoh, Vertex Pharmaceuticals, Inc.

Chair(s): Abdul J. Sankoh, Vertex Pharmaceuticals, Inc.

10:35 a.m. Practical Statistical Considerations for Handling

Dropouts in Longitudinal Clinical Trials—◆Cynthia

M. DeSouza, Vertex Pharmaceuticals, Inc.

; Abdul J.

Sankoh, Vertex Pharmaceuticals, Inc.

10:55 a.m.

Comparison of Methods for Handling Dropouts in Longitudinal Ordered Categorical Data—

Mohamed Alosh, FDA

11:15 a.m.

Developing an Analytic Road Map for Incomplete

Longitudinal Clinical Trial Data—◆Adam Meyers,

Lilly USA, LLC

11:35 a.m.

Endpoint Selection in the Presence of Missing

Data—◆Guoxing (Greg) Soon, FDA

11:55 a.m.

Disc: Lee-Jen Wei, Harvard University

12:15 p.m. Floor Discussion

150

Organizer(s): Barbara Rossi, Duke University

Chair(s): Robert P. Lieli, The University of Texas at Austin

CC-141

Advances in Time Series Econometrics—

Topic-Contributed

Business and Economic Statistics Section, Section on

Government Statistics

11:55 a.m. Sensitivity of Impulse Responses to Small

Low-Frequency Co-Movements: Reconciling the

Evidence on the Effects of Technology Shocks—

Nikolay Gospodinov, Concordia University

; ◆Alex

Maynard, University of Guelph

; Elena Pesavento,

Emory University

12:15 p.m. Floor Discussion

151 CC-158B n

Monte Carlo and Sequential Analyses:

Methods and Applications—Topic-Contributed

Section on Bayesian Statistical Science, Interface Foundation of

North America

Organizer(s): Mike West, Duke University

Chair(s): Raquel Prado, University of California, Santa Cruz

10:35 a.m.

Adaptive Design for Model Selection—◆Fei Liu,

University of Missouri-Columbia

; Fan Li, Duke

University

; David Dunson, Duke University

10:55 a.m. Targeted Sequential Resampling from Large

Data Sets in Mixture Modeling—◆Ioanna

Manolopoulou, Statistical and Applied

Mathematical Sciences Institute

11:15 a.m. Particle Learning DSGE Models—◆Francesca

Petralia, Duke University

; Carlos M. Carvalho,

The University of Chicago ; Hedibert F. Lopes, The

University of Chicago

; Hao Chen, Duke University

11:35 a.m. Particle Stochastic Search for High-Dimensional

Variable Selection—◆Minghui Shi, Duke University

11:55 a.m. Sequential Learning in Dynamic Graphical

Models—◆Hao Wang, Duke University; Craig

Reeson, Duke University

12:15 p.m. Floor Discussion

10:35 a.m.

The Moving Blocks Bootstrap for Panel Linear

Regression Models with Individual Fixed Effects—

Silvia Goncalves, University of Montreal

10:55 a.m.

Heteroskedasticity, Autocorrelation, and Spatial

Correlation Robust Inference in Linear Panel

Models with Fixed Effects—◆Tim Vogelsang,

Michigan State University

11:15 a.m. The Propagation of Regional Recessions—

Michael Owyang, Federal Reserve Bank of Saint

Louis ; James Hamilton, University of California,

San Diego

11:35 a.m. Local GMM Estimation of Time Series Models with Conditional Moment Restrictions—◆Nikolay

Gospodinov, Concordia University

; Taisuke Otsu,

Yale University

152 n J

The NHIS Linked Data Files: A Data

Resource for Health Outcomes to Health

Policy—Topic-Contributed

CC-155

Section on Government Statistics, Section on Survey

Research Methods

Organizer(s): Kimberly Lochner, National Center for Health Statistics

Chair(s): Christine S. Cox, National Center for Health Statistics

10:35 a.m.

Socioeconomic Differences in Life Expectancy—

Kimberly Lochner, National Center for Health

Statistics

; Van L. Parsons, National Center for Health

Statistics

; Nathaniel Schenker, National Center for

Health Statistics

; Gloria Wheatcroft, National Center for Health Statistics ; Elsie R. Pamuk, National Center for Health Statistics

Washington, DC 93

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

10:55 a.m. Using Linked Survey and Administrative Data to Build Imputational Models to Adjust Survey

Estimates of Medicaid Coverage—◆Michael

Davern, University of Minnesota

; Jacob A. Klerman,

Abt Associates Inc.

; Jeanette K. Ziegenfuss,

Mayo Clinic

11:15 a.m. Are Expenditures Higher for Those Entering

Medicare at Age 65 Having Been Previously

Uninsured?—◆Sandra L. Decker, National Center for Health Statistics

; Jalpa A. Doshi, University of

Pennsylvania

; Amy E. Knaup, University of Maryland;

Daniel E. Polsky, University of Pennsylvania

11:35 a.m. One More Step: NHIS-Linked Mortality Data

Combined with EPA Air Quality Data—◆Jennifer D.

Parker, National Center for Health Statistics

; Nataliya

Kravets, NOVA Research Company

; Kimberly

Lochner, National Center for Health Statistics ;

Tracey Woodruff, University of California,

San Francisco

11:55 a.m.

Disc: Elsie R. Pamuk, National Center for

Health Statistics

12:15 p.m. Floor Discussion

154

Improving Coverage Intervals for Survey-

Weighted Estimates—Topic-Contributed

Section on Survey Research Methods

CC-150A

Organizer(s): Phillip S. Kott, U.S. Department of Agriculture

Chair(s): Jill A. Dever, RTI International

10:35 a.m.

Speeding Up the Asymptotics When Constructing

One-Sided Coverage Intervals for Survey-Weighted

Estimates—◆Phillip S. Kott, U.S. Department of Agriculture

10:55 a.m. Estimation Using Gaussian Replicates of the

Pivotal Based on the Weighted Quasi-Score

Vector—◆Avi Singh, NORC at the University of

Chicago

; Claude Nadeau, Statistics Canada

11:15 a.m. Empirical Likelihood--Based Calibration Methods for Missing Data Problems—◆Jing Qin, National

Institute of Allergy and Infectious Diseases

11:35 a.m. Confidence Intervals for Proportion Estimates in Complex Samples: An Application to NAEP—

Andreas Oranje, Educational Testing Service

11:55 a.m. Disc: Mary E. Thompson, University of Waterloo

12:15 p.m. Floor Discussion

153 CC-143A

Statistical Literacy 2009—Topic-Contributed

Section on Statistical Education

Organizer(s): Milo Schield, W.M. Keck Statistical Literacy Project

Chair(s): Milo Schield, W.M. Keck Statistical Literacy Project

155 n

American Community Survey: Design and

Usability Issues—Topic-Contributed

Section on Survey Research Methods

CC-150B

Organizer(s): Michael Beaghen, U.S. Census Bureau

Chair(s): Rachel Harter, NORC at the University of Chicago

10:35 a.m. Statistical Challenges in Medical Research: What

Consumers Need to Know—◆Ronald R. Gauch,

Marist College

10:55 a.m. The Cult of Statistical Significance—◆Stephen T.

Ziliak, Roosevelt University

; Deirdre N. McCloskey,

University of Illinois at Chicago

11:15 a.m. Spinning Heads and Spinning News: Statistics in the Media—◆Rebecca Goldin, Statistical Assessment

Service/George Mason University

11:35 a.m. Know Your Chances: A Curriculum to Help Students

Become Better Consumers of Statistics—◆Steven

Woloshin, Dartmouth Institute for Health Policy and

Clinical Practice

; Lisa Schwartz, Dartmouth Institute for Health Policy and Clinical Practice

11:55 a.m. Academic Civic Engagement: What’s the

Downside?—◆Paul Roback, St. Olaf College

12:15 p.m.

Floor Discussion

10:35 a.m.

Options for Allocating the American Community

Survey Sample—◆Don Keathley, U.S. Census

Bureau

; Steven P. Hefter, U.S. Census Bureau

10:55 a.m. Evaluation of the Effectiveness of the American

Community Survey Family Equalization Project—

Mark E. Asiala, U.S. Census Bureau

11:15 a.m. Using Sub-County Population Estimates as

Controls in Weighting for the American Community

Survey—◆Keith A. Albright, U.S. Census Bureau

11:35 a.m. Usability of the American Community Survey

Estimates of the Group Quarters Population for

Substate Geographies—◆Michael Beaghen, U.S.

Census Bureau

; Sharon Stern, U.S. Census Bureau

11:55 a.m. Assessment of Data Quality Filtering on the

Reliability of Multi-Year Estimates in American

Community Survey Data Products—◆Michael D.

Starsinic, U.S. Census Bureau

12:15 p.m. Floor Discussion

94 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

156 CC-159B

New Directions in Social and Educational

Statistics—Topic-Contributed

Social Statistics Section

Organizer(s): Sandip Sinharay, Educational Testing Service

Chair(s): Patty Becker, University of Michigan

11:55 a.m. Nonparametric Spectral Analysis with Applications to Seizure Characterization Using EEG Time

Series—◆Li Qin, Fred Hutchinson Cancer Research

Center

; Yuedong Wang, University of California,

Santa Barbara

12:15 p.m. Floor Discussion

10:35 a.m.

A Matrix Time Series Model for Dynamic Social

Networks—◆Xiaoyue Niu, University of Washington;

Peter Hoff, University of Washington

10:55 a.m. Dimensionality Analysis for NELS:88 Data: The

Effects of Complex Assessment Design on

Modeling Growth—◆Jiahe Qian, Educational

Testing Service; Xueli Xu, Educational Testing Service

11:15 a.m. Latent Regression Modeling in Educational

Surveys: A Simulation Study from the National

Assessment of Educational Progress (NAEP)—

Yue Jia, Educational Testing Service

; Lei Ye,

Educational Testing Service; Xueli Xu,

Educational Testing Service

11:35 a.m. Application of Multidimensional Item Response

Theory Models to Report Diagnostic Scores in Educational Testing—◆Sandip Sinharay,

Educational Testing Service

; Shelby J. Haberman,

Educational Testing Service

11:55 a.m. Disc: Matthew S. Johnson, Teachers College

12:15 p.m. Floor Discussion

157

Carleton University

CC-204C

Penalized Regression and Spline Models—

Topic-Contributed

Biometrics Section, Biopharmaceutical Section

Organizer(s): Li Qin, Fred Hutchinson Cancer Research Center

Chair(s): Pang Du, Virginia Polytechnic Institute and State University

10:35 a.m. Penalized Regression, Mixed Effects Models, and

Appropriate Modeling—◆Nancy E. Heckman, The

University of British Columbia

; Richard Lockhart,

Simon Fraser University

; Jason D. Nielsen,

10:55 a.m. Statistical Inference for Dynamic Models with the

Generalized Profiling Method—◆Jiguo Cao, Simon

Fraser University

; David Campbell, Simon Fraser

University ; Giles Hooker, Cornell University; Jianhua

Huang, Texas A&M University ; James O. Ramsay,

McGill University

11:15 a.m. Penalized Least Squares for Single Index Models—

Tao Huang, University of Virginia ; Heng Peng, The

Hong Kong Baptist University

11:35 a.m. Generalized Spline Mixed-Effects Models with

Applications in AIDS Clinical Trials—◆Anna Liu,

University of Massachusetts Amherst

; Hua Liang,

University of Rochester

158

J

Health Policy Statistics Student Paper

Awards—Topic-Contributed

Section on Health Policy Statistics, Section on Bayesian

Statistical Science

Organizer(s): Susan Paddock, RAND Corporation

Chair(s): Susan Paddock, RAND Corporation

CC-160

10:35 a.m.

Learning from Near Misses in Medication Errors:

A Bayesian Approach—◆Jessica A. Myers, Johns

Hopkins University

; Francesca Dominici, Johns

Hopkins University

; Laura Morlock, Johns

Hopkins University

10:55 a.m. Sensitivity Analyses for Omitted Variable Bias in Multiple Regression in a Study of Right Heart

Catheterization—◆Carrie Hosman, University of

Michigan

; Ben B. Hansen, University of Michigan

11:15 a.m. Surrogate Screening Models for Determining

Low Physical Activity in the Cardiovascular

Health Study—◆Sandrah P. Eckel, Johns Hopkins

Bloomberg School of Public Health

; Karen Bandeen-

Roche, Johns Hopkins Bloomberg School of Public

Health

; Paulo H. Chaves, Johns Hopkins Bloomberg

School of Public Health ; Linda P. Fried, Columbia

University

; Thomas A. Louis, Johns Hopkins

Bloomberg School of Public Health

11:35 a.m. Nonparametric Inference Procedure for

Percentiles of the Random Effects Distribution in Meta-Analysis—◆Rui Wang, Harvard University;

Lu Tian, Stanford University

; Tianxi Cai, Harvard

University

; Lee-Jen Wei, Harvard University

11:55 a.m.

Identification of Ovarian Cancer Symptoms in

Health Insurance Claims Data—◆Sean Devlin,

University of Washington

; Paula Diehr, University of Washington ; Robyn Andersen, Fred Hutchinson

Cancer Research Center/University of Washington

;

William Lafferty, University of Missouri

12:15 p.m. Floor Discussion

Washington, DC 95

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

159

Quantile Regression: New Research

Directions—Topic-Contributed

Section on Nonparametric Statistics

Organizer(s): Lan Wang, The University of Minnesota

Chair(s): Yunming Mu, Portland State University

CC-208A

10:35 a.m.

New Robust Statistical Procedures for

Semiparametric Regression Models—◆Bo

Kai, Penn State University

; Runze Li, Penn State

University

; Hui Zou, University of Minnesota

10:55 a.m. Quantile Regression for Medical Cost Data—

Huixia (Judy) Wang, North Carolina State

University

; Xiao-Hua (Andrew) Zhou, University of Washington

11:15 a.m. Single-Index Quantile Regression—◆Yan Yu,

University of Cincinnati

; Tracy Z. Wu, JPMorgan

Chase Bank

; Keming Yu, Brunel University

11:35 a.m. Locally Weighted Censored Quantile Regression—

Lan Wang, The University of Minnesota

; Huixia

(Judy) Wang, North Carolina State University

11:55 a.m. Quantile Regression: New Research Directions—

Mi-Ok Kim, Cincinnati Children’s Hospital

Medical Center

12:15 p.m. Floor Discussion

160 CC-204B n J

Study Designs for Diagnostic Devices—

Topic-Contributed

Section on Statistics in Epidemiology, Biopharmaceutical Section

Organizer(s): Estelle Russek-Cohen, FDA; Jane Fryland,

Genentech, Inc.

Chair(s): Lori Dodd, National Cancer Institute

10:35 a.m. Tips for Designing Studies Evaluating Medical

Tests: An FDA Statistical Perspective—◆Kristen L.

Meier, FDA ; Estelle Russek-Cohen, FDA

10:55 a.m. Biomarker-Guided Modification to Existing

Treatments—◆Rong Tang, FDA; Estelle

Russek-Cohen, FDA

11:15 a.m. Different Schemes of Verification Bias in Evaluating

Medical Tests—◆Marina V. Kondratovich, FDA

11:35 a.m. Design Issues for Studies of Diagnostic Devices

Involving Readers—◆Thomas E. Gwise, FDA

11:55 a.m. EFM-CAD Study Designs—◆Bipasa Biswas, FDA;

Gene Pennello, FDA

12:15 p.m. Floor Discussion

Topic-Contributed Panels

10:30 a.m.–12:20 p.m.

161 CC-153

Statistics in Business Schools: The Future?—

Topic-Contributed

ASA Special Interest Group on Statistics in Business Schools

Organizer(s): J. Keith Ord, Georgetown University

Chair(s): Janice Derr, FDA

Panelists:

Mark Berenson, Montclair State University

John McKenzie, Babson College

J. Keith Ord, Georgetown University

12:15 p.m. Floor Discussion

Contributed Sessions

10:30 a.m.–12:20 p.m.

162 CC-203B

Case-Control Studies and Experimental

Designs—Contributed

Biometrics Section, Section on Government Statistics

Chair(s): Jodi Lapidus, Consultant

10:35 a.m. Optimal Experimental Designs for Determining

Optimal Levels of Fertilizer—◆Wade Brorsen,

Oklahoma State University ; Francisca G.C. Richter,

Federal Reserve Bank of Cleveland

10:50 a.m. Likelihood-Based Hypothesis Test from an

Outcome-Dependent Enriched Sample—Qing Kang,

North Dakota State University

; ◆Christopher I. Vahl,

North Dakota State University

11:05 a.m. Linear Model Selection for Nearly Replicated

Data—◆Andrew Neath, Southern Illinois University

Edwardsville

; Zugui Zhang, The University of Iowa;

Joseph Cavanaugh, The University of Iowa

11:20 a.m. Sample Size Calculation with Weighted Sign

Tests for Paired Comparisons of Clustered Data—

Fan Hu, Southern Methodist University

; Chul W.

Ahn, The University of Texas Southwestern Medical

Center at Dallas ; William Schucany, Southern

Methodist University

11:35 a.m.

Optimum Duration Designs for Phase II Oncology

Trials—◆Ying Lu, University of California, San

Francisco

; Shenghua K. Fan, California State

University, East Bay

11:50 a.m. New Adaptive Procedure to Control the False

Discovery Rate—◆Fang Liu, Temple University

12:05 p.m.

Optimal Two-Stage Design When Adapting Between k Sample Sizes—◆Hong Wan, Merck & Co., Inc.;

Susan Ellenberg, University of Pennsylvania

; Keaven

Anderson, Merck & Co., Inc.

96 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

163 CC-144B

Programming Methodology—Contributed

Section for Statistical Programmers and Analysts, Interface

Foundation of North America

Chair(s): Bob Derr, SAS Institute Inc.

11:50 a.m. Automatic Variable Shrinkage and Selection via

Confidence Regions—◆Funda Gunes, North

Carolina State University

; Howard D. Bondell,

North Carolina State University

12:05 p.m. Using ANOVA-Simultaneous Principal Component

Analysis (ASCA) in Clinical Studies for Psoriasis—

Suyan Tian, Rockefeller University

; Mayte Suárez-

Fariñas, Rockefeller University 10:35 a.m.

Creating a More Efficient Way to Review Tables,

Figures, and Listings (TFLs)—◆Sandra Althouse,

Eli Lilly and Company

; Xuejing Mao, Eli Lilly and Company

10:50 a.m. Adaptive Design: New Tasks for a Statistical

Analyst—◆Natalie C. Hall, Eli Lilly and Company

11:05 a.m. Recursive Sparse Estimation Using a Gaussian

Sum Filter—◆Michael Rotkowitz, The University of Melbourne

; Lachlan Blackhall, The Australian

National University

11:20 a.m. A Tree-Based Algorithm for Identifying Subgroups of Subjects with Treatment Effect—◆Ilya A.

Lipkovich, Eli Lilly and Company ; Alexei A.

Dmitrienko, Eli Lilly and Company

; Jonathan

Denne, Eli Lilly and Company

; Gregory Enas,

Eli Lilly and Company

11:35 a.m. Open Source Adaptive Design Software in a

Regulated Environment: A Case Study—

Keaven Anderson, Merck & Co., Inc.

164 CC-159A

MCMC, Sampling Algorithms, and

Approximations in Bayesian Inference—

Contributed

Section on Bayesian Statistical Science

Chair(s): Lawrence I. Pettit, Queen Mary University of London

10:35 a.m.

A Multi-Scale Adaptive Metropolis Algorithm—

Matthew J. Heaton, Duke University

; Scott

Schmidler, Duke University

10:50 a.m. Bayesian Inference for the Inverse Problem and Applications—◆Huei-Wen Teng,

Penn State University

Washington, DC 97

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:05 a.m. A Note on the Algorithmic Convergence of Posterior

Simulation for Mixtures of Logistic Regression

Model—◆Joy (Yang) Ge, Merck Research

Laboratories

; Wenxin Jiang, Northwestern University

11:20 a.m. Orthogonal Data Augmentation for Bayesian Model

Averaging—◆Joyee Ghosh, The University of

North Carolina at Chapel Hill

; Merlise A. Clyde,

Duke University

11:35 a.m. A New Algorithm to Generate Samples from the

Repulsion Potts Model—◆Dai Feng, Merck Research

Laboratories

; Luke Tierney, The University of Iowa

11:50 a.m. Bayesian Variable Selection via Perfect Sampling with Approximate Bounds—◆Cheongeun Oh,

New York University

12:05 p.m. A Derivative-Free Approach to Approximation of

Computationally Expensive Posterior Densities—

Nikolay Bliznyuk, Harvard School of Public Health

165 CC-149A n

Employment and Business Statistics—

Contributed

Section on Government Statistics, Section on Survey

Research Methods

Chair(s): Hyokyoung (Grace) Hong, Baruch College

10:35 a.m.

Research on Quarterly Benchmarking for the

Current Employment Statistics (CES) survey—

Victoria Battista, Bureau of Labor Statistics

; Chris

Manning, Bureau of Labor Statistics ; Kenneth W.

Robertson, Bureau of Labor Statistics

10:50 a.m. Using Current Employment Statistics (CES) Survey

Data to Estimate Employment in Expanding and

Contracting Establishments: Preliminary Results and Issues—◆Kenneth W. Robertson, Bureau of

Labor Statistics

11:05 a.m. Numbers as Pictures: Examples of Data

Visualization from the Business Employment

Dynamics Program—◆Charles M. Carson,

Bureau of Labor Statistics

11:20 a.m.

Size Class Dynamics: Small and Large Firms in the

2008 Recession—◆Jessica G. Helfand, Bureau of

Labor Statistics

11:35 a.m.

Dynamics of Business Growth—◆Carol Leming,

Bureau of Labor Statistics

11:50 a.m. Improving the Job Openings and Labor Turnover

Survey’s Sampling Procedure—◆Sarah E. Goodale,

Bureau of Labor Statistics

; Darrell Greene, Bureau of

Labor Statistics

12:05 p.m. The Impact of High Variances at the Lowest

Aggregate Levels on the CPI’s All-US-All-Items

Variance—◆Owen Shoemaker, Bureau of

Labor Statistics

166

Nonparametric Methods for Statistical and or

Temporal Data—Contributed

Section on Nonparametric Statistics

Chair(s): James A. Calvin, Texas A&M University

10:35 a.m. Monitoring Spatial Clusters Globally in

Spatio-Temporal Monitoring—◆Dan J. Spitzner,

University of Virginia

10:50 a.m. Discrete-Time Survival Trees and Forests with

Time-Varying Covariates—◆Denis Larocque, HEC

Montréal

; Imad Bou-Hamad, HEC Montréal; Hatem

Ben-Ameur, HEC Montréal

11:05 a.m. Detailed Sales Forecasting and Promotion Analysis for Retail Providers—◆Sungil Kim, Georgia Institute of Technology ; Nicoleta Serban, Georgia Institute of Technology

11:20 a.m. Random Forests versus Logistic Regression: A

Comparison Using Real and Simulated Data—

Kathy L. Gray, California State University, Chico

11:35 a.m. Large-Scale Functional-Spatial Correlation—

Huijing Jiang, Georgia Institute of Technology ;

Nicoleta Serban, Georgia Institute of Technology

11:50 a.m. Wavelet Function Estimation for Right-Censored

Data—◆Jeong-Ran Lee, Seoul National University;

Hee-Seok Oh, Seoul National University

12:05 p.m. Nonparametric Estimation of the Variogram and Its

Spectrum—◆Chunfeng Huang, Indiana University;

Tailen Hsing, University of Michigan

; Noel A. Cressie,

The Ohio State University

167

Section on Survey Research Methods

Chair(s): Jeri M. Mulrow, National Science Foundation

CC-208B

CC-148

Advances in Survey Weighting—Contributed

10:35 a.m. A Simulation Study of Alternative Weighting Class

11:05 a.m.

Adjustments for Nonresponse When Estimating a Population Mean from Complex Sample Survey

Data—◆Brady T. West, University of Michigan

10:50 a.m. An Evaluation of Sample Weighting in an RDD

Survey with Multiple Population Controls—

Kennon R. Copeland, NORC at the University of

Chicago

; Meena Khare, CDC; Nadarajasundaram

Ganesh, NORC at the University of Chicago

Zhao, CDC

Evaluation of Randomization-Based Estimation and Inference Methods—◆Randall K. Powers,

Bureau of Labor Statistics ; John L. Eltinge,

Bureau of Labor Statistics

; Zhen

98 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:20 a.m. An Empirical Study of Nonresponse Adjustment

Methods for the Survey of Doctorate Recipients—

Fan Zhang, National Science Foundation

; Stephen

Cohen, National Science Foundation

; Donsig

Jang, Mathematica Policy Research, Inc.

; Amang

Sukasih, Mathematica Policy Research, Inc.

; Sonya

Vartivarian, Mathematica Policy Research, Inc.

11:35 a.m. A Simulation Study to Compare Weighting

Methods for Survey Nonresponses—◆Amang

Sukasih, Mathematica Policy Research, Inc.

; Donsig

Jang, Mathematica Policy Research, Inc.

; Sonya

Vartivarian, Mathematica Policy Research, Inc.

;

Stephen Cohen, National Science Foundation

; Fan

Zhang, National Science Foundation

11:50 a.m. Design and Weighting Issues for the Dual-Frame

Household Panel Survey ‘Labor Market and

Social Security’—◆Hans Kiesl, Institute for

Employment Research

12:05 p.m. Overview of Software That Will Produce Sample

Weight Adjustments—◆Michael B. Witt,

RTI International

168 CC-209A n

Applications in Cancer Epidemiology—

Contributed

Section on Statistics in Epidemiology

Chair(s): Motomi Mori, Oregon Health & Science University

12:05 p.m. A Correspondence Analysis on First-Time

169

Registries in the Breast Cancer Screening Program in Central Portugal—◆Bruno C. de Sousa, Centre for Malaria and Tropical Diseases

; Vitor Rodrigues,

LPCC

; Elisa Duarte, University of Minho; Dário Cruz,

University of Coimbra

Section on Statistical Education

Chair(s): Byron J. Gajewski, The University of Kansas

170 CC-143C

Computational Advances in Multivariate

Advances—Contributed

Section on Statistical Computing, Interface Foundation of

North America

Chair(s): Patrick Breheny, The University of Iowa

CC-144A

Teaching Statistical Inference—Contributed

10:35 a.m. Misconceptions and Properties of Friedman’s

Test—◆Philip Turk, West Virginia University;

Roy St. Laurent, Northern Arizona University

10:50 a.m. A New Paradigm for Testing: Tests Yielding

Confidence Sets—◆Dan Voss, Wright State

University

11:05 a.m. Hartley F-max Statistic for Unequal Sample Sizes—

William Warde, Oklahoma State University

;

Guohui Yang, Oklahoma State University

11:20 a.m. Confidence Intervals Using SOCR—◆Nicolas

Christou, University of California, Los Angeles

;

Ivo D. Dinov, University of California, Los Angeles

11:35 a.m. Bedtime for Student’s t-Test?—◆Jim Bentley,

University of Redlands

11:50 a.m. Accuracy in Parameter Estimation for Group Effects in Longitudinal Models: Sample Size Planning for Narrow Confidence Intervals—◆Ken Kelley,

University of Notre Dame ; Joseph R. Rausch,

Cincinnati Children’s Hospital Medical Center

12:05 p.m. A Course Template for Statistical Inferential

Reasoning—◆William S. Rayens, University of Kentucky

10:35 a.m. Alcohol Consumption, BMI, and Colorectal Cancer and Mortality Follow-Up—◆Negasi T. Beyene, CDC

10:50 a.m. Treatment Effects under Early Detection—

Shih-Yuan Lee, University of Michigan

;

Alexander Tsodikov, University of Michigan

11:05 a.m. Parametric and Nonparametric Analysis of Breast

Cancer for Censored and Uncensored Data—Chris

P. Tsokos, University of South Florida

; ◆Chunling

Cong, University of South Florida

11:20 a.m. Simulation Study of Hierarchical Modeling for

Estimating Cancer Risks of Individual Genetic

Variants—◆Marinela Capanu, Memorial Sloan-

Kettering Cancer Center

; Colin B. Begg, Memorial

Sloan-Kettering Cancer Center

11:35 a.m. A Generalized Self-Consistency Approach for

Joint Modeling Survival and Binary Data—◆Chen

Hu, University of Michigan ; Alexander Tsodikov,

University of Michigan

11:50 a.m. A Stayer-Mover Mixture Markov Model for Disease

Transitions in Early-Staged Breast Cancer Treated with Breast-Conserving Therapy (BCT)—◆Wei-Ting

Hwang, University of Pennsylvania

; Neha Vapiwala,

University of Pennsylvania

; Lawrence J. Solin, Albert

Einstein Medical Center

10:35 a.m.

Inference for Multivariate Normal Mixtures and

Its Applications—◆Xianming Tan, Penn State

University

10:50 a.m. Difference in Causal Effects of Class Size on

Academic Achievement Between Black and

Other Students: Multivariate Instrumental Variable

Estimators with Tennessee Class Size Data MAR—

Yongyun Shin, Virginia Commonwealth University

Washington, DC 99

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:05 a.m. Analysis of Multivariate Skew Normal Models with

Incomplete Data—◆Tsung-I Lin, National Chung

Hsing University

; Hsiu-Jung Ho, National Chung

Hsing University

; Chiang-Ling Chen, National

Chung Hsing University

11:20 a.m. Multivariate Analysis in Planetary Science:

Understanding Jupiter’s Atmosphere—◆Irina

Kukuyeva, University of California, Los Angeles

;

Amy Braverman, Jet Propulsion Laboratory ; Padma

Yanamandra-Fisher, Jet Propulsion Laboratory

; Jan de Leeuw, University of California, Los Angeles

; Amy

Simon-Miller, NASA Goddard Space Flight Center

11:35 a.m. A New Approach to Cholesky-Based Covariance

Regularization in High Dimensions—◆Adam J

171

Rothman, University of Michigan

; Elizaveta Levina,

University of Michigan

; Ji Zhu, University of Michigan

11:50 a.m.

Computing Marginal eCDFs in Bivariate Correlated

Data with Missing Values—◆Irene B. Helenowski,

Northwestern University ; Hakan Demirtas,

University of Illinois at Chicago

12:05 p.m. Correlation Estimation in the Downton’s Bivariate

Exponential Distribution Using Incomplete

Samples—◆Qinying He, Southwestern

University of Finance and Economics

; Haikady

N. Nagaraja, The Ohio State University

Chair(s): Inna Chervoneva, Thomas Jefferson University

CC-203A

Spatio-Temporal and High-Dimensional Data—

Contributed

Biometrics Section, Interface Foundation of North America

10:35 a.m. Testing Local Differences in Placental Shapes Using

Weighted Fourier Analysis—◆Jia Cao, Columbia

University ; Shubing Wang, Merck & Co., Inc.; Ian

McKeague, Columbia University

10:50 a.m.

A Spatio-Temporal Transmission Model to

Model the Spread of Bluetongue in Europe—

Christel Faes, Hasselt University

; Marc Aerts,

Hasselt University

11:05 a.m. Longitudinal Image Analysis of Tumor/Brain Change in Contrast Uptake Induced by Radiation—◆Xiaoxi

Zhang, Pfizer Inc.

; Timothy D. Johnson, University of Michigan

; Roderick J.A. Little, University of

Michigan

; Yue Cao, University of Michigan

11:20 a.m. Generalized Volterra Model of Neural Population

Dynamics for Hippocampal Prostheses—◆Dong

Song, University of Southern California

; Theodore W.

Berger, University of Southern California

11:35 a.m. Generalized Additive Models with Spatio-Temporal

Data—◆Xiangming Fang, East Carolina University;

Kung-Sik Chan, The University of Iowa

11:50 a.m. State Space and Hidden Markov Models of Human

Colon Cancer Involving Multiple Pathways—

173

Wai-Yuan Tan, University of Memphis

;

Y.W. Yan, The University of Memphis

12:05 p.m. Floor Discussion

172 CC-204A n

Missing Data in Clinical Trials—Contributed

Biopharmaceutical Section

Chair(s): Kallappa M. Koti, FDA

10:35 a.m.

Handling Missing Data in Diabetes Studies with

Rescue—◆Yu Chen, Merck & Co., Inc.; Bret Musser,

Merck Research Laboratories

10:50 a.m.

Quantile Regression for the Decline of Lung

Function in COPD Patients: A Longitudinal

Study with Drop-Out—◆Dacheng Liu, Boehringer

Ingelheim Pharmaceuticals, Inc.

11:05 a.m. Analysis of Dichotomized Responses in

Longitudinal Studies with Missing Data—

Kaifeng Lu, Merck & Co., Inc.

11:20 a.m. Comparison of Missing Data Approaches on

Noninferiority Clinical Trials in Treatment of HIV

Infection—◆Xia Xu, Merck Research Laboratories

11:35 a.m. Examining the Extent and the Impact of

Missing Data in Oncology Clinical Trials—

Mark Rothmann, FDA

11:50 a.m. Estimating Treatment Effects in Randomized

Clinical Trials with Noncompliance and Missing

Outcomes—◆Yan Zhou, University of Michigan

12:05 p.m. Comparison of Right and Interval Censoring

Methods in Analysis of Time to Progression in Presence of Asymmetry and Missed

Assessments—◆Somesh Chattopadhyay, FDA;

Shenghui Tang, FDA

; Rajeshwari Sridhara, FDA

Business and Economic Statistics Section

Chair(s): Carla Inclan, Freddie Mac

CC-142

Inequality and Wage Differentials—Contributed

10:35 a.m.

What Differentiates Between Women and Men in the Labor Market—◆Edna Schechtman, Ben Gurion

University of the Negev

; Shlomo Yitzhaki, Central

Bureau of Statistics

; Yulanda Geva, Central Bureau of Statistics

10:50 a.m. Multiple Imputation for Top-Coded Wages in

German Social Security Register Data—◆Thomas

Büttner, Institute for Employment Research ; Susanne

Rässler, Otto-Friedrich University Bamberg

100 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:05 a.m. Are Job Centers More Effective When Caseloads

Are Reduced? An Evaluation of a Regional Pilot

Project—◆Katja Wolf, Institute for Employment

Research

; Barbara Hofmann, Institute for

Employment Research

; Gerhard Krug, Institute for Employment Research

11:20 a.m. Establishment Wage Differentials and Occupational

Employment—◆Jane G. Osburn, Bureau of

Labor Statistics

11:35 a.m. Interpreting the Cumulative Frequency Distribution of Socioeconomic Data—◆Othmar W. Winkler,

Georgetown University

11:50 a.m. An Efficient Algorithm for the Computation of the

Gini Coefficient of the Generalized Beta Distribution of the Second Kind—◆Monique Graf, Swiss Federal

Statistical Office

12:05 p.m. Floor Discussion

ML12 Randomization Strategies in Multicenter Trials—◆Olga M.

Kuznetsova, Merck & Co., Inc.

ML13 The Use of Decision Analysis in Clinical Trials—

Telba Irony, FDA

176 CC-Ballroom South Prefunction

Business and Economic Statistics Section

Roundtable with Lunch (fee event)

Business and Economic Statistics Section

Organizer(s): Graham Elliott, University of California, San Diego

ML14 What Makes the Introductory Course in Applied

Statistics for Business Students Different?—

John McKenzie, Babson College

Speaker with Lunch

12:30 p.m.–1:50 p.m.

177 CC-Ballroom South Prefunction

Section on Bayesian Statistical Science

Roundtable with Lunch (fee event)

Section on Bayesian Statistical Science

Organizer(s): Alyson Wilson, Iowa State University

174 CC-301

Section on Statistics in Sports Speaker with

Lunch (fee event)—Speaker with Lunch

Section on Statistics in Sports

Organizer(s): Scott Evans, Harvard University

ML15 Teaching Bayes to Undergraduates: Challenges and

Lessons Learned—◆Brani Vidakovic, Georgia Tech/

Emory University

ML07 Rating the Competition: Lessons from the World of

Tournament Chess—◆Mark Glickman, Boston University

School of Public Health

178 CC-Ballroom South Prefunction

Section on Government Statistics Roundtable with Lunch (fee event)

Section on Government Statistics

Organizer(s): Lisa Blumerman, U.S. Census Bureau

Roundtables with Lunch

12:30 p.m.–1:50 p.m.

ML16 Communicating Statistics to Nontechnical Audiences—

Leonard M. Gaines, Empire State Development

175 CC-Ballroom South Prefunction

Biopharmaceutical Section Roundtables with

Lunch (fee event)

Biopharmaceutical Section

Organizer(s): Dionne Price, FDA

179 CC-Ballroom South Prefunction

Section on Health Policy Statistics Roundtable with Lunch (fee event)

Section on Health Policy Statistics

Organizer(s): Susan Paddock, RAND Corporation

ML08 Pooling versus No Pooling of Safety Data from Clinical

Trials—◆Vipin Arora, Takeda Pharmaceuticals

ML09 Data-Monitoring Committees: What Is the Scope of the Information the DMC Can Review?—

Dennis W. King, STATKING Consulting, Inc.

ML10 Statistical Analyses of HIV Drug Resistance—◆David B.

Hall, Boehringer Ingelheim Pharmaceuticals, Inc.

ML11 Design and Analysis Issues for FDA Medical Device

Submissions—◆Gary Kamer, FDA

ML17 Predicting Health Care Costs of Individual Patients—

Xiao-Hua (Andrew) Zhou, University of Washington

Washington, DC 101

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

180 CC-Ballroom South Prefunction

Section on Physical and Engineering Sciences

Roundtables with Lunch (fee event)

Section on Physical and Engineering Sciences

Organizer(s): George Ostrouchov, Oak Ridge National Laboratory

184 CC-Ballroom South Prefunction

Section on Statistics and Marketing Roundtable with Lunch (fee event)

Section on Statistics and Marketing

Organizer(s): Wolfgang S. Jank, University of Maryland

ML18 The Many Forms of Reliability Data—◆David C. Trindade,

Sun Microsystems, Inc.

ML19 Integrating Computer and Other Types of Experiments—

Thomas Santner, The Ohio State University

ML25 Online User-Generated Content—◆Wendy W. Moe,

University of Maryland

181 CC-Ballroom South Prefunction

Section on Statistical Education Roundtables with Lunch (fee event)

Section on Statistical Education

Organizer(s): Tisha L. Hooks, Winona State University

185 CC-Ballroom South Prefunction

Section on Survey Research Methods

Roundtables with Lunch (fee event)

Section on Survey Research Methods

Organizer(s): Michael Elliott, University of Michigan

ML20 Using Computer-Based Teaching Materials Effectively—

Dale Berger, Claremont Graduate University

ML21 The Partnership of Industry and Academia in Providing

Internship Opportunities for Undergraduate Statistics

Majors—◆Eileen King, Miami University

ML22 Challenges in Developing an Online Service Course—

Brant Deppa, Winona State University

ML26 Fitting Models and Estimating Model Parameters Using

Data from Complex Surveys—◆Jean Opsomer, Colorado

State University

; Jay Breidt, Colorado State University

ML27 Health Surveys and the Survey Statistician—

Novie Younger, Tropical Medicine Research

Institute, Jamaica

182 CC-Ballroom South Prefunction

Section on Statistical Graphics Roundtable with

Lunch (fee event)

Section on Statistical Graphics, Section on Government Statistics

Organizer(s): Heike Hofmann, Iowa State University

ML23 Wouldn’t That Be Cool? Sharing Streams of

Consciousness About Visualization on the

Bleeding Edge—◆Dan Rope, SPSS

186 CC-Ballroom South Prefunction

Social Statistics Section Roundtables with

Lunch (fee event)

Social Statistics Section

Organizer(s): Joseph J. Salvo, NYC Department of City Planning

ML28 Removing the Veil from Publicly Released Polls:

What Is the Statistician’s Role in the Fight to Improve

Statistical Literacy?—◆Stephen J. Dienstfrey,

Independent Consultant

ML29 Can We Teach Data Users to Use Survey Data Wisely?—

Deborah H. Griffin, U.S. Census Bureau

183 CC-Ballroom South Prefunction

Section on Statistics in Defense and National

Security Roundtable with Lunch (fee event)

Section on Statistics in Defense and National Security

Organizer(s): Jeffrey L. Solka, Naval Surface Warfare Center

ML24 Syndromic Surveillance: Issues and Its Evolution—

Henry Rolka, CDC

102 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Special Presentation

2:00 p.m.–3:50 p.m.

187 CC-202A

Late-Breaking Session I: Policymakers to Get

Full Data Coverage of the Nation’s Service

Sector—Other

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Mark Wallace, Service Sector Statistics Division

Chair(s): Dennis Fixler, Bureau of Economic Analysis

Panelists:

Barry Bosworth, The Brookings Institution

Carol Corrado, The Conference Board/Economic

Programs

Robert Vastine, Coalition of Service Industries

Mark Wallace, Service Sector Statistics Division

3:40 p.m. Floor Discussion

189 CC-207B

Parzen’s Legacy on Modern Nonparametric

Statistics—Invited

Section on Nonparametric Statistics, Section on Bayesian

Statistical Science, Interface Foundation of North America

Organizer(s): Todd Ogden, Columbia University

Chair(s): H. Joseph Newton, Texas A&M University

2:05 p.m.

Functional Data Analysis Using Dirichlet

Processes—◆Alan E. Gelfand, Duke University

2:30 p.m. Manny Parzen and Reproducing Kernel Hilbert

Spaces—◆Grace Wahba, University of

Wisconsin-Madison

2:55 p.m. A RKHS Framework for Functional Data Analysis—

Randy Eubank, Arizona State University

3:20 p.m. Disc: Jeffrey Hart, Texas A&M University

3:40 p.m. Floor Discussion

Invited Sessions 2:00 p.m.–3:50 p.m.

188 CC-155 n

Statistics in the Research Methods Courses—

Invited

Section on Statistical Education, Social Statistics Section

Organizer(s): Peter Westfall, Texas Tech University

Chair(s): Jessica M. Utts, University of California, Irvine

2:05 p.m. Statistics for Business Researchers—◆Sam

Woolford, Bentley University

; Richard Cleary,

Bentley University

2:30 p.m. Challenges in Teaching Advanced Statistical

Methods for Observational Studies in a Subject-

Matter Context—◆Mari Palta, University of

Wisconsin-Madison

2:55 p.m. Turning our GAISE Toward Departments of

Psychology—◆Patricia C. Rutledge,

Allegheny College

3:20 p.m. Stealth Statistics: Teaching Research Methods in

Graduate Nursing Education—◆Mary Mays,

Arizona State University

3:45 p.m. Floor Discussion

190 CC-143A n J

New Tricks for Old Media: What

Measurement and Method Tell Us About

Traditional Media Consumption and

Effectiveness—Invited

Section on Statistics and Marketing, Social Statistics Section

Organizer(s): David A. Schweidel, University of Wisconsin-Madison

Chair(s): Erin McClintic Tanenbaum, Nielsen Claritas

2:05 p.m.

Harnessing Statistical Techniques to Model

Television Audiences Using Return-Path Set Top

Box Data—◆Pete Doe, Nielsen Connections

2:30 p.m. Aural Choice—◆Ty Henderson, The University of

Texas at Austin

2:55 p.m. Understanding ESPN Across Media—◆Glenn B.

Enoch, ESPN, Inc.

3:20 p.m. Reexamining Television Tuning Behavior—◆David

A. Schweidel, University of Wisconsin-Madison

3:45 p.m. Floor Discussion

191

Organizer(s): Peter Kraft, Harvard School of Public Health

Chair(s): Peter Kraft, Harvard School of Public Health

CC-160 n J

Statistical Issues in Building and Evaluating

Genetic Risk Predictors—Invited

Section on Statistics in Epidemiology, Biopharmaceutical Section

2:05 p.m. The Value of Single Nucleotide Polymorphisms in

Projecting Breast Cancer Risk—◆Mitchell H. Gail,

National Cancer Institute ; Ruth Pfeiffer, National

Cancer Institute

Washington, DC 103

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:30 p.m. Statistical Evaluation of Prognostic Genetic Models:

Beyond the ROC Curve—◆Nancy Cook, Brigham and Women’s Hospital

2:55 p.m.

Kernel Machine Approach to Testing the

Significance of Multiple Markers for Risk

Prediction—◆Tianxi Cai, Harvard University

3:20 p.m.

Disc: Daniel Schaid, Mayo Clinic

3:40 p.m.

Floor Discussion

3:20 p.m. Valid Statistical Analysis for Logistic Regression with Multiple Sources—◆Robert Hall, Carnegie

Mellon University ; Stephen Fienberg, Carnegie

Mellon University ; Yuval Nardi, Carnegie Mellon

University

; Aleksandra B. Slavkovic, Penn

State University

3:45 p.m. Floor Discussion

192 CC-149B n J

Making Statistics Go Viral: Visualizing Illness in Social Networks—Invited

Section on Statistical Graphics, Social Statistics Section, Section on Statistics in Epidemiology, Section on Risk Analysis, Interface

Foundation of North America

Organizer(s): Stanley Wasserman, Indiana University

Chair(s): Stanley Wasserman, Indiana University

194 CC-150B

New Developments in Dimension Reduction—

Invited

Biometrics Section, Biopharmaceutical Section, International

Chinese Statistical Association

Organizer(s): Wensheng Guo, University of Pennsylvania

Chair(s): Xiangrong Yin, The University of Georgia

2:05 p.m.

Statistical Analysis and Visualization of

Large-Scale Interpopulation Contagion—

Alessandro Vespignani, Indiana University

2:30 p.m. Using Diffusion Principles to Understand Disease

Spread—◆Thomas W. Valente, University of

Southern California

2:55 p.m. Network Visualizations for Diffusion Studies—

James Moody, Duke University

; Jeff Smith,

Duke University

3:20 p.m. Disc: Ann McCranie, Indiana University

3:40 p.m. Floor Discussion

2:05 p.m.

Likelihood-Based Sufficient Dimension Reduction for Regression—◆R. Dennis Cook, The University of Minnesota

2:35 p.m. Dimension Reduction for Non-Elliptically Distributed

Predictors—◆Bing Li, Penn State University

3:05 p.m. A Binary Response Transformation Expectation

Method in Dimension Reduction—◆Li-Xing Zhu,

Hong Kong Baptist University

; Liping Zhu, East

China Normal University

3:35 p.m. Floor Discussion

193 CC-102B n J

Rigorous Foundations of Data

Confidentiality in Statistical Databases—Invited

Section on Survey Research Methods, Committee on Privacy and Confidentiality

Organizer(s): Aleksandra B. Slavkovic, Penn State University;

Adam D. Smith, Penn State University

Chair(s): John M. Abowd, Cornell University

195 CC-159B n

Best Teaching Practices for Statistics in

Translational Research—Invited

Section on Teaching of Statistics in the Health Sciences, Social

Statistics Section

Organizer(s): Carol Bigelow, University of Massachusetts Amherst

Chair(s): Carol Bigelow, University of Massachusetts Amherst

2:05 p.m.

Taking the Hard Work Out of Privacy: Interactive

Data Analysis with End-to-End Privacy Guarantees for All—◆Frank McSherry, Microsoft Research

2:30 p.m. Integrating Differential Privacy with Statistical

Theory—◆Adam D. Smith, Penn State University

2:55 p.m. Differentially Private Categorical Data Analysis—

Aleksandra B. Slavkovic, Penn State University

;

Ivan Simeonov, Penn State University

; Duy Vu,

Penn State University

2:05 p.m.

Building Bridges: Making Statistical Issues

Accessible to the Biomedical and Translational

Researcher—◆Taylor Pressler, The Ohio State

University

2:30 p.m. Analytic Perspectives for Translational Research:

Controlling for the Uncontrollable—◆Deborah V.

Dawson, The University of Iowa

; Clark M. Stanford,

The University of Iowa

2:55 p.m. Duke Medicine Online Core in Clinical Research:

Customized Environment for Practicing Health

Professionals—◆Steven C. Grambow, Duke

University

; Cynthia Coffman, Duke University

Medical Center ; Lawrence H. Muhlbaier, Duke

University

; Linda S. Lee, Duke University; Haiyan

Zhou, Duke University

; William E. Wilkinson,

Duke University

104 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:20 p.m. Sending Someone Else to Find the Needle in the Haystack: Defining a Dialogue Between

Translational Scientists and Statisticians—

Andrea S. Foulkes, University of Massachusetts

3:45 p.m. Floor Discussion

2:05 p.m. A Likelihood Approach for Case-Control Family

Data—◆Yingye Zheng, Fred Hutchinson Cancer

Research Center

; Patrick Heagerty, University of Washington

2:25 p.m. Analysis of Two-Phase Studies in the Presence of

Participation Bias—◆Sebastien Haneuse, Group

Health Center for Health Studies

2:45 p.m. Accounting for Animal Movement in Estimation of

Resource Selection Functions: Sampling and Data

Analysis—James D. Forester, Harvard University;

Hae Kyung Im, The University of Chicago ; ◆Paul J.

Rathouz, The University of Chicago

3:05 p.m.

Outcome-Dependent Sampling Studies for

Longitudinal Binary Response Data with

Time-Varying Covariates—◆Patrick Heagerty,

University of Washington

; Jonathan Schildcrout,

Vanderbilt University

3:25 p.m.

Disc: John Neuhaus, University of California,

San Francisco

3:45 p.m. Floor Discussion

196 CC-150A

Outcome-Dependent Sampling Designs—

Invited

WNAR

Organizer(s): Jonathan Schildcrout, Vanderbilt University

Chair(s): Jonathan Schildcrout, Vanderbilt University

197 CC-207A

Recent Advances and the Future of Statistics—

Invited

IMS

Organizer(s): Xiaotong Shen, The University of Minnesota

Chair(s): Michael Kosorok, The University of North Carolina at

Chapel Hill

2:05 p.m.

Back to the Future: Do Recent Developments

Tell Us Anything About the Future of Statistics?—

Jon A. Wellner, University of Washington

2:45 p.m. The Future of Indirect Evidence—◆Brad Efron,

Stanford University

3:25 p.m. Floor Discussion

Monday,

August 3

6:00 p.m. – 8:00 p.m.

Renaissance Washington, DC, Hotel

Grand Ballroom Central

Washington, DC 105

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

198 CC-158B

J

New Developments in Model Selection—

Invited

SSC, Biopharmaceutical Section, International Chinese

Statistical Association

Organizer(s): Jiahua Chen, The University of British Columbia

Chair(s): Peter X.K. Song, University of Michigan

200 CC-204B n J

Student Paper Competition: Bayesian

Genomics and Genetics—Topic-Contributed

Section on Bayesian Statistical Science, Biopharmaceutical

Section, Section on Government Statistics

Organizer(s): Michael J. Daniels, University of Florida

Chair(s): Tanzy Love, Carnegie Mellon University

2:05 p.m.

Feature Selection in GLM with Large Model

Spaces—◆Jiahua Chen, The University of British

Columbia

; Zehua Chen, National University of Singapore

2:30 p.m. Composite Likelihood Information Criterion for

Model Selection in High-Dimensional Data—

Xin Gao, York University ; Peter X.K. Song,

University of Michigan

2:55 p.m. Model Selection Bias in Genome-Wide Genetic

Studies—◆Lei Sun, University of Toronto

3:20 p.m.

Disc: Pengfei Li, University of Alberta

3:40 p.m. Floor Discussion

199

Cosmology and Astrophysics—Invited

Organizer(s): Anirban DasGupta, Purdue University

Chair(s): Anirban DasGupta, Purdue University

CC-206

IMS, Section on Bayesian Statistical Science, Section on

Government Statistics

2:05 p.m.

Nonparametric Estimation of Filaments—◆Larry

Wasserman, Carnegie Mellon University

2:35 p.m. Detection of Weak Lensing: A Statistical Challenge to Unveil the Dark Side of the Universe—◆Laura

Cayon, Purdue University

3:05 p.m. Coherent Statistical Calibration of High-Energy

Photon Detectors—◆David A. van Dyk, University of California, Irvine

; Vinay Kashyap, Harvard-

Smithsonian Center for Astrophysics

; Hyunsook Lee,

Harvard-Smithsonian Center for Astrophysics ; Rima

Izem, Harvard University

3:35 p.m.

Floor Discussion

Topic-Contributed Sessions

2:00 p.m.–3:50 p.m.

2:05 p.m.

A Nonparametric Empirical Bayes Framework for Simultaneous Significance Testing—◆Ryan

Martin, Purdue University

; Surya T. Tokdar,

Carnegie Mellon University

; Surya T. Tokdar,

Carnegie Mellon University

2:25 p.m. Bayesian Analysis of Array CGH Data—◆Xiaowei

Wu, Rice University

; Hongxiao Zhu, The University of

Texas M.D. Anderson Cancer Center

; Marek Kimmel,

Rice University

2:45 p.m. Alternative Bayesian Hierarchical Modeling in

Imaging Genetics—◆Jie Shen, University of

California, Irvine ; Hal Stern, University of

California, Irvine

3:05 p.m. Bayesian Mixture Modeling Using a Hybrid

Sampler with Application to Protein Subfamily

Identification—◆Youyi Fong, University of

Washington

; Jon Wakefield, University of

Washington

; Kenneth Rice, University of Washington

3:25 p.m. Floor Discussion

201 CC-209B n J

Algebraic Methods—Topic-Contributed

IMS

Organizer(s): Ian H. Dinwoodie, Duke University

Chair(s): Ian H. Dinwoodie, Duke University

2:05 p.m. Algebraic Methods in Statistics—◆Ahmad S.

Yasamin, Statistical and Applied Mathematical

Sciences Institute

2:25 p.m. Conditional Independence Models via Filtrations—

Simon Lunagomez, Duke University

; Sayan

Mukherjee, Duke University

; Robert L. Wolpert,

Duke University

2:45 p.m. Trek Separation for Gaussian Graphical Models—

Seth Sullivant, North Carolina State University

3:05 p.m. Design of Experiments and Inference of

Biochemical Networks—◆Reinhard Laubenbacher,

Virginia Bioinformatics Institute

; Brandilyn Stigler,

Southern Methodist University

106 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:25 p.m.

Discretization of Time Series Data—◆Paola

Vera-Licona, Rutgers University

; Elena S.

Dimitrova, Clemson University

; John McGee,

Radford University

; Reinhard Laubenbacher,

Virginia Bioinformatics Institute

3:45 p.m. Floor Discussion

3:05 p.m. Time-Frequency Methods for Space-Time Models—

Peter F. Craigmile, The Ohio State University

3:25 p.m. Understanding Past Temperature Reconstruction by Integrating Different Sources—◆Bo Li, Purdue

University

; Douglas Nychka, National Center for

Atmospheric Research

; Caspar Ammann, National

Center for Atmospheric Research

3:45 p.m. Floor Discussion

202 CC-204A n J

Applications of Bayesian Statistics and

Information Theory—Topic-Contributed

Section on Bayesian Statistical Science

Organizer(s): Refik Soyer, The George Washington University

Chair(s): Refik Soyer, The George Washington University

204 CC-153

Statistical Analysis of Medical Device Data—

Topic-Contributed

Biopharmaceutical Section

Organizer(s): Yao Huang, FDA

Chair(s): Yao Huang, FDA

2:05 p.m. Estimating the Population Utility Function:

A Parametric Bayesian Approach—

Rasim M. Musal, Texas State University

2:25 p.m. Bayesian Inference in Abandonment Processes of Call Centers—◆Tevfik Aktekin, The George

Washington University

2:45 p.m.

Prior Information Allocation for Collinear

Regression—◆Ehsan S. Soofi, University of

Wisconsin-Milwaukee

; Nader Ebrahimi, Northern

Illinois University

3:05 p.m. A Short Note on Bayesian Analysis of Dynamic

Probit Models—◆Minje Sung, Ajou University;

Refik Soyer, The George Washington University

3:25 p.m. Detection of Outliers in Bayesian Factor Analysis

Using Information Complexity—◆Hamparsum

Bozdogan, The University of Tennessee

3:45 p.m. Floor Discussion

2:05 p.m.

Optimizing Decision Rules for Trial Device

Responder Identification—◆Jeng Mah, Regulatory and Clinical Research Institute, Inc.

2:25 p.m. Meta-Analysis of Time-to-Event Survival Curves in Drug Eluting Stent Data—◆Hsini Liao, Boston

Scientific Corporation ; Hong Wang, Boston Scientific

Corporation

; Yun Lu, Boston Scientific Corporation

2:45 p.m. Analysis of Repeated-Measures Score Data

Obtained from Patient Questionnaires in Medical

Device Studies—◆Chang S. Lao, FDA

3:05 p.m. Modeling Heterogeneity Across Sites in One-Arm

Study—◆Chul H. Ahn, FDA

3:25 p.m. The Effect of Biodegradability on Drug Release

Behavior in Drug Eluting Stents—◆Shanti

Gomatam, FDA

3:45 p.m. Floor Discussion

203 CC-209A

Statistical Methods and Theory for Spatial and/ or Temporal Data—Topic-Contributed

Section on Statistics and the Environment, Section on Statistics in Defense and National Security, SSC, Interface Foundation of

North America

Organizer(s): Jun Zhu, University of Wisconsin-Madison

Chair(s): Jun Zhu, University of Wisconsin-Madison

205

Trends and Forecasts in Time Series—

Topic-Contributed

Business and Economic Statistics Section

Organizer(s): Tucker S. McElroy, U.S. Census Bureau

Chair(s): Stuart Scott, Bureau of Labor Statistics

CC-142

2:05 p.m.

A Block Bootstrap Under Long-Range

Dependence—◆Dan Nordman,

Iowa State University

2:25 p.m. On Nonparametric Variance Estimation for Second-

Order Statistics of Inhomogeneous Spatial Point

Processes—◆Yongtao Guan, Yale University

2:45 p.m. Local Whittle Estimator for Anisotropic Random

Fields—◆Chae Young Lim, Michigan State

University

; Hongwen Guo, Educational Testing

Service ; Mark M. Meerschaert, Michigan

State University

2:05 p.m. Equivalent Reproducing Kernels for Smoothing

Spline Predictors—◆Silvia Bianconcini, University of Bologna

; Estela Bee Dagum, University of Bologna

2:25 p.m. An Assessment of Trend Estimation Methods—

Yorghos Tripodis, Boston University

2:45 p.m.

The CES/JOLTS Divergence: How to Apply the

Monthly Alignment Method to Help Close the Gap—

Jeannine M. Mercurio, Bureau of Labor Statistics ;

Edmond Cheng, Bureau of Labor Statistics

3:05 p.m. Issues in Trend Estimates for Official Statistics—

Begoña Martín, Office for National Statistics ;

Duncan Elliott, Office for National Statistics

;

Washington, DC 107

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Peter Meszaros, Statistics Canada

; Craig McLaren,

UK Office for National Statistics

3:25 p.m. Kernel Singular Spectrum Analysis: Nonlinear

Forecasting Using a Linear Method—◆Theodore

Alexandrov, University of Bremen

3:45 p.m. Floor Discussion

2:45 p.m. Improving the Utility of Three-Year ACS Data: A

Transportation Perspective—◆Elaine Murakami,

Federal Highway Administration

; Ed Christopher,

Federal Highway Administration

3:05 p.m.

Disc: Graham Kalton, Westat, Inc.

3:25 p.m.

Disc: Ken Hodges, Nielsen Claritas

3:45 p.m. Floor Discussion

206 CC-101 n J

Response Strategies for Establishment

Surveys in the Economic Programs Directorate,

U.S. Census Bureau—Topic-Contributed

Section on Government Statistics, Section on Survey

Research Methods

Organizer(s): Ruth E. Detlefsen, U.S. Census Bureau

Chair(s): Shirin A. Ahmed, U.S. Census Bureau

208 n J

Measuring Poverty: New Research

Findings—Topic-Contributed

CC-204C

Social Statistics Section, Section on Government Statistics

Organizer(s): Kathleen S. Short, U.S. Census Bureau

Chair(s): Rebecca M. Blank, Under Secretary of Commerce for

Economic Affairs, U.S. Department of Commerce

2:05 p.m.

Response Improvement Strategies for the 2007

Economic Census—◆Ruth E. Detlefsen, U.S. Census

Bureau ; Shirin A. Ahmed, U.S. Census Bureau

2:25 p.m. Effectiveness of the Account Manager Program for the 2007 Economic Census—Robert Marske,

U.S. Census Bureau ; ◆Michael J. Hartz, U.S.

Census Bureau

2:45 p.m. Strategies to Improve Response Rates for Current

Economic Programs—◆Robert J. Reinard, U.S.

Census Bureau

3:05 p.m. Improving Response Rates for the 2007 Census of Government Employment—◆Kerstin K.

Edwards, U.S. Census Bureau

; Kenneth L. Long, U.S.

Census Bureau

; Grace O’Neill, Energy Information

Administration

; Carma Hogue, U.S. Census Bureau

3:25 p.m.

Disc: Nancy Bates, U.S. Census Bureau

3:45 p.m.

Floor Discussion

2:05 p.m. Cohabitation and Child Care in a Poverty

Measure—◆Kathleen S. Short, U.S. Census Bureau

2:25 p.m. Measuring MOOP with SIPP/MEPS—◆Sharon I.

O’Donnell, U.S. Census Bureau

2:45 p.m. National Academy of Sciences--Based Poverty

Thresholds: The Details of Alternatives and Choices in Specification—◆Thesia I. Garner, Bureau of Labor

Statistics

3:05 p.m. Experimental Poverty Measures: Geographic

Adjustments from the American Community Survey and BEA Price Parities—◆Trudi Renwick, U.S.

Census Bureau

3:25 p.m. Disc: Constance F. Citro, The National Academies

3:45 p.m. Floor Discussion

207 CC-201 n J

Challenges Related to The American

Community Survey Three-Year Estimates—

Topic-Contributed

Section on Survey Research Methods

Organizer(s): Anthony Tersine, U.S. Census Bureau

Chair(s): Lars Lyberg, Statistics Sweden

2:05 p.m.

The Quality of ACS Estimates for Small Population

Groups—◆Alfredo Navarro, U.S. Census Bureau;

Michael D. Starsinic, U.S. Census Bureau

2:25 p.m.

Measurement of Geographic Mobility Using

Three-Year Estimates from the American

Community Survey—◆Joseph J. Salvo, NYC

Department of City Planning

; A. Peter Lobo, NYC

Department of City Planning

; Joel A. Alvarez, NYC

Department of City Planning

108 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Topic-Contributed Panels

2:00 p.m.–3:50 p.m.

209 CC-102A n J

How Post-Traumatic Stress Disorder

(PTSD) Is Changing Disability Among Returning

Veterans: What Can We Do?—Topic-Contributed

Committee on Statistics and Disability, Section on

Government Statistics

Organizer(s): Michele Connolly, Sweetgrass Consulting, LLC

Chair(s): Joan L. Turek, U.S. Department of Health and

Human Services

Panelists:

Michele Connolly, Sweetgrass Consulting, LLC

Paula Schnurr, Veterans Affairs National Center for

Posttraumatic Stress Disorder

Ronald Manderscheid, SRA International

Cille Kennedy, U.S. Department of Health and

Human Services

3:45 p.m. Floor Discussion

2:20 p.m. Assessing Regression Modeling with Ordinal

Repeated Responses—◆Kao-Tai Tsai,

Bristol-Myers Squibb Company

2:35 p.m.

EWOC 3.0: Interactive Software for Dose Escalation in Cancer Phase I Clinical Trials—◆Zhiheng Xu,

Emory University

; Mourad Tighiouart, Emory

University

; Andre Rogatko, Cedars-Sinai Medical

Center

; Lin Pan, Emory University

2:50 p.m. Design and Analysis Issues with Vector of Binary

Events as Primary Outcome—◆Edward J. Mascha,

Cleveland Clinic Foundation

3:05 p.m. Married to Mantel-Haenszel? Consider a Minimum-

Risk Affair!—◆Devan V. Mehrotra, Merck

Research Laboratories

3:20 p.m. Weighted Kernel Fisher Discriminant Analysis for Integrating Genomic and Clinical Data with

Application to Cancer Prediction—◆Jemila S.

Hamid, Hospital for Sick Children ; Celia M.T.

Greenwood, University of Toronto

; Joseph

Beyene, University of Toronto

3:35 p.m. Study of Oncologic Treatment Effect Differences

Between Gender and Age Groups—◆Weishi

Yuan, FDA

; Yu-Ling Chang, FDA; Rajeshwari

Sridhara, FDA

210 CC-143B n

So You Want to Be an Expert Witness?—

Topic-Contributed

Section on Statistical Consulting

Organizer(s): Christopher H. Schmid, Tufts Medical Center

Chair(s): Joseph C. Cappelleri, Pfizer Inc.

212 CC-158A

New Approaches in Econometrics—Contributed

Business and Economic Statistics Section

Chair(s): Tatevik Sekhposyan, The University of North Carolina at

Chapel Hill

Panelists:

3:45 p.m. Floor Discussion

Contributed Sessions

2:00 p.m.–3:50 p.m.

211

Christopher H. Schmid, Tufts Medical Center

Elaine Allen, Babson College

Harold Feldman, University of Pennsylvania

Jeffrey Ginsberg, Kenyon and Kenyon n

Statistical Issues in Clinical Trials—

Contributed

Biopharmaceutical Section

Chair(s): Ghideon Ghebregiorgis, FDA

CC-144B

2:05 p.m. Comparison of Methods for Meta-Analysis with

Sparse Events Using Patient-Year Data—Yang Zhao,

Purdue University ; ◆Hongwei Wang, Merck & Co.,

Inc.

; Arlene Swern, Merck & Co., Inc.

2:05 p.m. Tests for Causality Between Two Infinite-

Order Vector Autoregressive Series—◆Chafik

Bouhaddioui, United Arab Emirates University

;

Jean-Marie Dufour, McGill University

2:20 p.m. Efficient Nonparametric IV Estimation of

Local Average Treatment Effects Using the

Estimated Propensity Score and a Test for

Unconfoundedness—◆Robert P. Lieli, The

University of Texas at Austin

; Stephen Donald, The

University of Texas at Austin

; Hsu Yu-Chin, The

University of Texas at Austin

2:35 p.m. Score Test--Based on GEL in the Presence of Weakly Identified Nuisance Parameters—

Saraswata Chaudhuri, The University of North

Carolina at Chapel Hill

2:50 p.m. Wald Tests for Detecting Multiple Structural

Changes in Persistence—◆Mohitosh Kejriwal,

Purdue University ; Pierre Perron, Boston University;

Jing Zhou, BlackRock, Inc.

3:05 p.m. Dynamic Factors in Periodic Time-Varying

Regression Models—◆Marius Ooms, Vrije

Universiteit Amsterdam ; Virginie Dordonnat,

Electricité de France

; Siem Jan Koopman, Vrije

Universiteit Amsterdam

Washington, DC 109

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:20 p.m. Detecting and Testing Change Points in

3:35 p.m.

Nonparametric Models Based on Series

Estimation Methods—◆Yingxing Li, Cornell

University ; Haiqiang Chen, Cornell University

Floor Discussion

213 CC-141

Advances in Survival Analysis—Contributed

ENAR

Chair(s): Russ Roegner, U.S. Consumer Product Safety Commission

2:05 p.m. Cox Regression Methodology Applied to the

Analysis of Multivariate Survival Response Data—

Shulamith T. Gross, Baruch College

; Catherine

Huber-Carol, Université Paris Descartes

2:20 p.m. Long-Term Survivor Models and Two-Component

Mixture Models—Wonkuk Kim, University of South

Florida

; ◆Bong-Jin Choi, University of South Florida;

Yong Xu, University of South Florida

2:35 p.m. Joint Modeling of Longitudinal and Time-to-Event

Data with Random Changepoints—◆Chengjie

Xiong, Washington University ; Yuan Xu,

Washington University

2:50 p.m. Estimation of Overall Survival in an Illness-Death

Model with Application to the Vertical Transmission of HIV-1—Halina Frydman, New York University;

Michael Szarek, ImClone Systems

3:05 p.m. Joint Modeling of Longitudinally Measured

Dialysis Reuse and Time-to-Death in the HEMO

Study—◆Abdus Sattar, University of Pittsburgh;

Lisa A. Weissfeld, University of Pittsburgh

; Christos

Argyropoulos, University of Pittsburgh Medical

Center ; Mark Unruh, University of Pittsburgh

3:20 p.m. Improved Survival Modeling Using a Piecewise

Exponential Approach—◆Gang Han, Moffitt Cancer

Center ; Michael J. Schell, Moffitt Cancer Center;

Jongphil Kim, Moffit Cancer Center

3:35 p.m. Floor Discussion

214 n

Experimental Designs—Contributed

Section on Physical and Engineering Sciences, Section on Quality and Productivity

Chair(s): Abhyuday Mandal, The University of Georgia

2:05 p.m.

The University of Tennessee

University of Houston-Clear Lake

CC-149A

Choosing a Strength Three Orthogonal Array to Estimate Interactions—◆Robert W. Mee,

2:20 p.m. 24-Run Hadamard Designs for Estimation and

Detection of Interactions—◆Yingfu F. Li,

2:35 p.m.

Saturated Row-Column Designs and Their

Applications—◆Xianggui Qu, Oakland University

2:50 p.m.

Quantile Estimation with Computer Experiments—

Scott Vander Wiel, Los Alamos National

Laboratory

; Jim Gattiker, Los Alamos

National Laboratory

3:05 p.m. Comparison of Screening Methods in the Presence of Interactions—◆Danel Draguljic, The Ohio State

University

; Dave Woods, University of Southampton;

Angela Dean, The Ohio State University

; Susan Lewis,

University of Southampton

3:20 p.m. Bayesian-Inspired Minimum Aberration Two- and

Four-Level Designs—◆Roshan J. Vengazhiyil,

Georgia Institute of Technology

; Mingyao Ai, Peking

University ; C.F. Jeff Wu, Georgia Institute of Technology

3:35 p.m. Floor Discussion

215

Clustering and Variable Selection in

High-Dimensional Data—Contributed

CC-209C

Section on Statistical Learning and Data Mining, Interface

Foundation of North America

Chair(s): Matthias Katzfuss, The Ohio State University

2:05 p.m.

Conditional Subspace Clustering of Skill

Mastery Infomation—◆Elizabeth Ayers,

Carnegie Mellon University

2:20 p.m. Discovering Homogeneous Geographic Areas

Using Clustering—◆Jin Yan Shao, IBM China

Research Laboratory

; Bin Zhang, IBM China

Research Laboratory ; Ming Xie, IBM China

Research Laboratory ; Li Xia, IBM China Research

Laboratory

; Wenjun Yin, IBM; Jin Dong, IBM

China Research Laboratory

2:35 p.m. Clustering High-Dimension, Low Sample–Size

Data—◆Jeongyoun Ahn, The University of Georgia;

Youngjoo Yoon, The University of Georgia

2:50 p.m. Image Segmentation by SUP Clustering

Algorithm—◆Ting-Li Chen, Institute of Statistical

Science, Academia Sinica

3:05 p.m. Effect of Number of Clusters, Cluster Size, and

Correction for Chance Agreement on the Shape of

Similarity Indexes in Cluster Analysis—◆Ahmed N.

Albatineh, Nova Southeastern University

3:20 p.m. Penalization Methods for Simultaneous Supervised

Clustering and Variable Selection—◆Dhruv Sharma,

North Carolina State University

; Howard D. Bondell,

North Carolina State University ; Hao (Helen) Zhang,

North Carolina State University

3:35 p.m. Relations Between Quantitative and Categorical

Variables: New Aspects—◆Igor Mandel, Telmar

Group Inc.

; Boris Mirkin, University of London

Washington, DC 111

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

216

Innovations in Imputation Methods—

Contributed

Section on Survey Research Methods, Section on Bayesian

Statistical Science

Chair(s): Paul J. Lavrakas, Consultant

Bansal, University of Washington

University of Washington

CC-202B

2:05 p.m.

Posterior predictive checking of imputation models—◆Yulei He, Harvard Medical School;

Alan M. Zaslavsky, Harvard Medical School

2:20 p.m. Analyses Based on Combining Similar Information from Multiple Surveys—◆Georgia Roberts, Statistics

Canada

; David Binder, Statistics Canada (Retired)

2:35 p.m. Performance of Sequential Imputation Method in Multilevel Settings—◆Enxu Zhao, New York

State Department of Health

; Recai M. Yucel, State

University of New York at Albany

2:50 p.m. The Practice of Imputation Methods with Structural

Equation Models—◆Cherie J. Alf, Iowa State

University

; Michael D. Larsen, Iowa State University;

Frederick O. Lorenz, Iowa State University

3:05 p.m. Imputation of Gaps in Transaction Sequences—

Robin Lee, NORC at the University of Chicago

;

Michael P. Cohen, NORC at the University of Chicago

;

Fritz Scheuren, NORC at the University of Chicago

3:20 p.m. Imputation of Income, Poverty, and Medicaid Status in the Ohio Family Health Survey—◆Ronaldo

Iachan, Macro International, Inc.

; Bo Lu, The

Ohio State University ; Thomas Duffy, Macro

International, Inc.

3:35 p.m. Imputation of Nominal Variables Using Gaussian-

Based Routines—◆Recai M. Yucel, State University of New York at Albany

217 CC-143C

New Developments in Epidemiologic Methods—

Contributed

Section on Statistics in Epidemiology

Chair(s): Arkendra De, FDA

2:05 p.m. Improvement in Performance by Combining

Biomarkers in Diagnostic Medicine—◆Aasthaa

; Margaret Pepe,

2:20 p.m. An Estimating Equations Approach for Latent

Transition Models with Latent Class Predictors in

Drug Use Epidemiology—◆Beth A. Reboussin,

Wake Forest University School of Medicine ; Nicholas

Ialongo, Johns Hopkins Bloomberg School of

Public Health

2:35 p.m. Nonparametric Incidence Estimation from Prevalent

Cohort Data—◆Marco Carone, Johns Hopkins

Bloomberg School of Public Health

; Masoud

Asgharian, McGill University

; Mei-Cheng Wang,

Johns Hopkins Bloomberg School of Public Health

;

Daniel Scharfstein, Johns Hopkins Bloomberg School of Public Health

2:50 p.m. Evaluation of Medical Diagnostic Systems with

Multiple Heterogeneous Biomarkers—◆Carol Y.

Lin, CDC

; Lance A. Waller, Emory University; Robert

H. Lyles, Emory University

3:05 p.m. Assessing Risk of a Factor Using Impact Numbers in a Case-Control Study—◆Khairul Islam, Wayne

State University

; Tanweer J. Shapla, Eastern

Michigan University

3:20 p.m. Multilevel Modeling with Scaled Weights vs. Models

Based on Generalized Estimating Equations (GEE) with Bootstrap Variance Estimation—◆Alomgir

Hossain, University of Saskatchewan

; Punham

Pahwa, University of Saskatchewan

3:35 p.m. Estimating Equations—Alan J. Lee, University of

Auckland

; ◆Alastair Scott, University of Auckland;

Chris Wild, University of Auckland

218 CC-203B n

From Meteorology to Weather—Contributed

Section on Statistics and the Environment, Section on Bayesian

Statistical Science

Chair(s): Devin Johnson, National Marine Mammal Laboratory

2:05 p.m.

Bayesian Graphical Models for Multivariate Spatial

Data with Application to Environmental Data—

Kathryn M. Irvine, Montana State University

;

Alix Gitelman, Oregon State University

2:20 p.m. Inter-Annual Modeling and Seasonal Forecasting of Intermountain Snowpack Dynamics—◆James B.

Odei, Utah State University

; Mevin B. Hooten, Utah

State University

; Jiming Jin, Utah State University

2:35 p.m. Bayesian Hierarchical Modeling for Paleoclimate

Reconstruction from Geothermal Data—◆Jenny

Brynjarsdottir, The Ohio State University

; L. Mark

Berliner, The Ohio State University

2:50 p.m. Exploring a Possibly Increasing Trend of Hurricane

Activity by a SiZer Approach—◆Jesper Rydén,

Uppsala University

3:05 p.m. Tree-Ring--Based Climate Reconstruction—

Matthew Schofield, Columbia University

;

Richard Barker, University of Otago

3:20 p.m. Floor Discussion

112 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

219 CC-159A

Advances in the Implementation and Analysis of

Monte Carlo Methods—Contributed

Section on Statistical Computing, Section on Bayesian Statistical

Science, Interface Foundation of North America

Chair(s): Yongyun Shin, Virginia Commonwealth University

2:05 p.m.

Reconstructing the Energy Landscape of a

Distribution from Monte Carlo Samples—◆Qing

Zhou, University of California, Los Angeles

; Wing H.

Wong, Stanford University

2:20 p.m. Gibbs Ensemble for Incompatible Conditional

Models—◆Yuchung J. Wang, Rutgers

University-Camden

2:35 p.m. Two Case Studies of Power Analysis for Clinical

Trial Designs by Using Simulations—◆Junxiang

Luo, Eli Lilly and Company

2:50 p.m. Computer-Aided Reasoning in Statistics—

Leif Johnson, The University of Minnesota

3:05 p.m. Random Graph Models for Inference: The Devil

Is in the Details—◆Elizabeth A. Beer, Johns

3:20 p.m. Distribution of Spaced Seed Statistics Through

Minimal Markov Chain Embedding—◆KeTrena S.

3:35 p.m.

Hopkins University

; Carey E. Priebe, Johns

Hopkins University

; Edward R. Scheinerman,

Johns Hopkins University

Phipps, North Carolina State University

; Donald E.K.

Martin, North Carolina State University

Floor Discussion

220 CC-203A

Nonparametric Estimation—Contributed

Section on Nonparametric Statistics

Chair(s): Huiyan Sang, Texas A&M University

2:05 p.m. A Theil-Type Estimate in Multiple Linear Regression and Its Asymptotics—◆Gang Shen, Purdue

University

2:20 p.m. Nonparametric Regression Analysis of SPD

Matrices—◆Ying Yuan, The University of North

Carolina at Chapel Hill

; Hongtu Zhu, The University of North Carolina at Chapel Hill

; J. Steve Marron, The

University of North Carolina at Chapel Hill

; Dinggang

Shen, The University of North Carolina at Chapel Hill

2:35 p.m. The ed Method for Nonparametric Density

Estimation and Diagnostic Checking—◆Ryan P.

Hafen, Purdue University ; William S. Cleveland,

Purdue University

2:50 p.m. Simultaneous Confidence Bands for Mean

Response Functions and Their Derivatives—

Benjamin K. Hall, University of Kentucky

;

Richard Charnigo, University of Kentucky

;

Cidambi Srinivasan, University of Kentucky

3:05 p.m. Regularity of Irregularity—◆Brani Vidakovic,

Georgia Tech/Emory University

; Kichun S. Lee,

Georgia Institute of Technology

3:20 p.m. Approximation of Likelihood by the Projection

Pursuit Regression for Multi-Parameter

Distributions—◆Ahmet Sezer, Anadolu University

3:35 p.m. Regularized Estimation in AFT Models with

High-Dimensional Covariates—◆Liping Huang,

University of Kentucky ; Mai Zhou, University of

Kentucky ; Arne C. Bathke, University of Kentucky

221

Neuroimaging Analysis—Contributed

222

Applied Longitudinal Data Analysis—

Contributed

Biometrics Section

Chair(s): Benjamin Leiby, Thomas Jefferson University

CC-144C

Biometrics Section, Interface Foundation of North America

Chair(s): Robert Krafty, University of Pittsburgh

2:05 p.m. Design Effects with Generalized Linear Mixed

Effects Model—◆Qiaohao Zhu, University of Alberta

2:20 p.m.

Signal Extraction in Noisy Images: Improvements to Wavelet-Based False Discovery Rate Methods—

Joel O’Hair, Southern Methodist University

; Wayne

A. Woodward, Southern Methodist University ;

Richard F. Gunst, Southern Methodist University

;

William Schucany, Southern Methodist University

2:35 p.m. NMR Peak Alignment Through Lineshape Modeling and Dynamic Programming—◆Cheng Zheng,

Purdue University

; Shucha Zhang, Purdue University;

Daniel Raftery, Purdue University

; Olga Vitek,

Purdue University

2:50 p.m. The Effects of Preprocessing on fMRI Data—

Daniel B. Rowe, Medical College of Wisconsin

3:05 p.m. Semiparametric Modeling for Activation in

Language Processing with fMRI Data—◆Namhee

Kim, The Ohio State University

; Prem K. Goel, The

Ohio State University

3:20 p.m. Spatial Clustering of Response Curves from Multi-

Subject fMRI Studies—◆Lucy Robinson, Columbia

University

; Martin Lindquist, Columbia University

3:35 p.m.

QTL Mapping on Shape—◆Guifang Fu,

Penn State University

CC-148

2:05 p.m. Comparison of Prediction Interval Methods for a One-Way Random Effects Model—◆Jamie M.

Baldwin, Info Tech, Inc.

; Ramon Littell, University of Florida

Washington, DC 113

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:20 p.m. Summarizing Response: When ‘Effect Over Time’

Doesn’t Actually Capture an Intervention’s Effect in Longitudinal Data—Rochelle E. Tractenberg,

Georgetown University Medical Center ; ◆Kang-

Hsien Fan, Georgetown University

; Anne-Michelle

Noone, Georgetown University

; Kathryn Sandberg,

Georgetown University Medical Center

2:35 p.m. Cost-Efficient Designs for Longitudinal Mixed

Effects Models—◆Martijn Berger,

Maastricht University

2:50 p.m. Maximum Likelihood Estimation of Unconstrained

3:05 p.m. Assessing Agreement with Repeated Measures for

Random Observers—◆Chia-Cheng Chen, North

3:20 p.m.

223

Statistical Genetics and Computational

Biology—Contributed

IMS

Parameterization for the Covariance of Multivariate

Longitudinal Data—◆Chulmin Kim, Rochester

Institute of Technology

Carolina State University ; Huiman Barnhart,

Duke University

Floor Discussion

Chair(s): Adam J Rothman, University of Michigan

CC-208B

2:05 p.m. Competing Risks with Missing Covariates: Effect of

Matching Haplotypes on BMT Patients—◆Thomas

Scheike, University of Copenhagen

2:20 p.m. Classification Model Based on Permanent Process with Application to Microarray Analysis—◆Jie Yang,

University of Illinois at Chicago

2:35 p.m. Robust DNA Copy Number Estimation and SNP

Genotype Calling: A Single Array Approach—

Wenjiang Fu, Michigan State University ; Lin

Wan, Peking University

; Kelian Sun, Michigan State

University

; Qi Ding, Michigan State University; Ming

Li, Michigan State University

; Yalu Wen, Michigan

State University ; Yuehua Cui, Michigan State

University ; Robert C. Elston, Case Western Reserve

University

; Minping Qian, Peking University

2:50 p.m. Genotype Calling Accuracy Varies with the Arrays in the Joint Calling Procedure—◆Yalu Wen, Michigan

State University

; Ming Li, Michigan State University;

Wenjiang Fu, Michigan State University

3:05 p.m. Quality Control of Affymetrix SNP Arrays by

Imputation of Damaged Area—◆Ming Li, Michigan

State University

; Wenjiang Fu, Michigan State

University

; Yalu Wen, Michigan State University

3:20 p.m. Nonparametric Estimation of Gene-Wise

Variance for Microarray Data—◆Yue Niu,

Princeton University

3:35 p.m. Floor Discussion

224 CC-144A n

Repeated Measures and Longitudinal Data

Analysis—Contributed

Biopharmaceutical Section

Chair(s): Mohamed Alosh, FDA

2:05 p.m. The Gradient Function for Checking Goodnessof-Fit of the Random-Effects Distribution in Mixed

Models—◆Geert Verbeke, Katholieke Universiteit

Leuven ; Geert Molenberghs, Hasselt University/

Katholieke Universiteit Leuven

2:20 p.m. Longitudinal Structural Mixed Models and Causal

Inference in Surgical Trials with Noncompliance—

Colleen Sitlani, University of Washington

; Patrick

Heagerty, University of Washington

2:35 p.m. Handling Baseline Responses in Repeated

Measures Analyses with Data Missing at Random—

Phillip Dinh, FDA

; Peiling Yang, FDA

2:50 p.m. Weighted Fourier Analysis of Longitudinal Data—

Shubing Wang, Merck & Co., Inc.

; Christopher

Tong, Merck & Co., Inc.

3:05 p.m. Missing Data Imputation for Estimating Time-to-

Event from Longitudinal Continuous Data—◆Lei

Xu, Merck & Co., Inc.

; Kaifeng Lu, Merck & Co., Inc.;

Bret Musser, Merck Research Laboratories

; Devan V.

Mehrotra, Merck Research Laboratories

3:20 p.m. Spatio-Temporal Modeling of Electrical Muscle

Resistance of Patients with Amyotrophic Lateral

Sclerosis Using Generalized Additive Mixed

Model—◆Catherine Stamoulis, Harvard Medical

School

; Seward Rutkove, Harvard Medical School

3:35 p.m. Statistical Models for Analyzing Recurrent Events with Application to Hypoglycemia Data in Diabetes

Clinical Trials—◆Xiaodan Wei, sanofi-aventis; Yujun

Wu, sanofi-aventis

; Peng-Liang Zhao, sanofi-aventis

225 CC-208A n

Bayesian Variable Selection and Genomics—

Contributed

Section on Bayesian Statistical Science

Chair(s): Fei Liu, University of Missouri-Columbia

2:05 p.m.

Impact of Informative Prior in Discrete Bayesian

Graphical Models: Application to Genome-Wide

Association Studies—◆Jinnan Liu, Samuel

Lunenfeld Research Institute of Mount Sinai

Hospital

; Laurent Briollais, Samuel Lunenfeld

Research Institute of Mount Sinai Hospital

; Adrian

Dobra, University of Washington

; Helene Massam,

York University

2:20 p.m. A Bayesian Semiparametric Hierarchical

Model for Analyzing Differential Expression in

Sequence-Based Gene Expression Data—

Soma S. Dhavala, Texas A&M University ;

Bani K. Mallick, Texas A&M University

114 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:35 p.m. Hierarchical Bayesian Variable Selection for

Genetic Association—◆Deukwoo Kwon,

National Cancer Institute

2:50 p.m. Seeking Higher-Order Chromatin Domains in

Mouse Stem Cells via Hidden Markov Models—

Jessica L. Larson, Harvard University

;

Guocheng Yuan, Harvard University

3:05 p.m. Bayesian Variable Selection in Generalized

Gaussian Process Models—◆Terrance D. Savitsky,

Rice University

; Marina Vannucci, Rice University;

Naijun Sha, The University of Texas at El Paso

3:20 p.m. Understanding Inference from Stochastic Search

Variable Selection with Different Priors: How Much

Evidence Is There?—◆Michael D. Swartz, The

University of Texas M.D. Anderson Cancer Center

3:35 p.m. Floor Discussion

Health policy, epidemiology, public health

05 The Relationship Between Reliability and Misclassification in Physician Quality and Cost Profiles—◆John L. Adams,

RAND Health

; Ateev Mehrotra, RAND Health; J. William

Thomas, University of Southern Maine

; Elizabeth A.

McGlynn, RAND Health

Sampling and survey methodology

06 Innovative Guidance for the Design of New Surveys or

Major Revisions of Existing Surveys—◆Jeri M. Mulrow,

National Science Foundation

227 CC-L Street Bridge

Topic-Contributed Oral Poster Presentations:

Data Expo 2009—Topic-Contributed

Section on Statistical Graphics

Organizer(s): Hadley Wickham, Rice University

Chair(s): Lara Schmidt, RAND Corporation

Poster Presentations

2:00 p.m.–3:50 p.m.

226 CC-L Street Bridge

Invited Poster Oral Presentations: Statistics in

Policy—Invited

Section on Statistics in Defense and National Security, Section on Health Policy Statistics, Section on Survey Research Methods,

Section on Physical and Engineering Sciences

Organizer(s): Lara Schmidt, RAND Corporation

Chair(s): Lara Schmidt, RAND Corporation

QC, operation research, risk assessment

01 Exploratory Data Analysis at the Boundary of Statistics and Engineering Design Optimization—◆Theodore Allen,

The Ohio State University

; Mikhail Bernshteyn, Sagata Ltd.;

Ravishankar Rajagopalan, The Ohio State University

Defense and National Security

02 Planning Surveillance for a Stockpile That Might

Degrade—◆Scott Vander Wiel, Los Alamos National

Laboratory ; C. Shane Reese, Brigham Young University;

Alyson Wilson, Iowa State University

; Todd Graves,

Los Alamos National Laboratory

Graphics, visualization

03 Scatterplots for Sampling Weighted Data—

Thomas Lumley, University of Washington

Defense and National Security

04 Disclosure Limitation Techniques for Tabular Data—

Joe Fred Gonzalez, Jr., National Center for

Health Statistics

Graphics, visualization

07 Data Expo 2009: Flight Delays—Through a Glass

Lately—◆Waqas A. Malik, Uni Augsburg; Antony Unwin,

Uni Augsburg

08 Data Expo 2009: Congestion in the Sky: Visualizing

Domestic Airline Traffic with SAS—◆Rick Wicklin, SAS

Institute Inc.

; Robert Allison, SAS Institute Inc.

09 Data Expo 2009: Minimizing the Probability of

Experiencing a Flight Delay—Tanujit Dey, College of

William & Mary ; ◆David Phillips, College of William &

Mary ; Patrick Steele,

10 Data Expo 2009: What Airline Is Best for You?—

Nathan Yau, University of California, Los Angeles

11 Data Expo 2009: Comparing SFO and OAK—

Charlotte Wickham, University of California, Berkeley

12 Data Expo 2009: Taking Off!—◆Heike Hofmann,

Iowa State University

13 Data Expo 2009: On the Use of Dynamic Information

Displays for Multidimensional Space-Time Data

Exploration—◆Jose J. Hernandez, W.R. Grace

14 Data Expo 2009: Make a Smart Choice on Booking Your

Flight!—◆Yu-Hsiang Sun, Case Western Reserve University

15 Data Expo 2009: Airline Data for Raleigh-Durham

International—◆Michael T. Crotty, SAS Institute Inc.

16 Data Expo 2009: The Airplane Data Set … What’s the Big

Deal?—◆Michael Kane, Yale University

17 Data Expo 2009: Kaleidoscope Graphs—◆Mario A.

Morales, Hunter College

18 Data 2009: Airline On-Time Performance—

Hadley Wickham, Rice University

19 Data Expo 2009: What Airlines Would You Avoid for Your Next Flight?—◆Haolai Jiang, Western Michigan

University

; Jung-Chao Wang, Western Michigan University

Washington, DC 115

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

228 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

Section on Statistics in Defense and National Security

Chair(s): Lara Schmidt, RAND Corporation

230 CC-Hall D n

Topic-Contributed Oral Poster Presentations:

Experiences in Consulting at Virginia Tech—

Topic-Contributed

Section on Statistical Consulting

Organizer(s): Laura J. Freeman, Virginia Polytechnic Institute and

State University

Chair(s): Lara Schmidt, RAND Corporation

Defense and National Security

20 Opinion Pooling on Maps—◆Jonathan Wilson, San Diego

State University

; Kristin Duncan, San Diego State University

Mathematical statistics, distribution theory, robust statistics

21 Expected and Observed Fisher Information in Variance

Estimation for Maximum Likelihood Estimates—◆Xumeng

Cao, Johns Hopkins University

; James C. Spall, Johns

Hopkins University Applied Physics Laboratory

Experimental design

22 An Efficient Approach for Finding Optimal Resource

Allocations in a Missile Reliability Study—◆Jessica

Chapman, St. Lawrence University ; Max Morris, Iowa

State University

; Christine Anderson-Cook, Los Alamos

National Laboratory

Bootstrap, resampling methods

23 Fixed-Width Confidence Bands for ROC Curves with a Generalized False Positive Interval—◆Daniel Katz,

Johns Hopkins University Applied Physics Laboratory

;

Jacob Boon, Johns Hopkins University Applied Physics

Laboratory ; Michael Miller, Johns Hopkins University

Applied Physics Laboratory

; Austin DiOrio, Johns

Hopkins University Applied Physics Laboratory

Statistical consulting

25 A Comparative Statistical Analysis for Forest Service Trail

Tread Width—◆Laura J. Freeman, Virginia Polytechnic

Institute and State University

26 Using Meteorological Data to Predict Ozone Levels in

Rural Areas—◆John Szarka, Virginia Polytechnic Institute and State University

; Nels Johnson, Virginia Polytechnic

Institute and State University

27 Predicting Mortality in Infants—◆Mark Seiss, Virginia

Polytechnic Institute and State University

28 Ecological Application of Changepoint Models—

Jonathan Duggins, Virginia Polytechnic Institute and State

University

; Dong-Yun Kim, Virginia Polytechnic Institute and State University

; Sue Newman, South Florida Water

Management District

; Eric Smith, Virginia Polytechnic

Institute and State University

29 Survey Design for Evaluating the Role of International

Students in Domestic Engineering Graduate Programs—

Anne Ryan, Virginia Polytechnic Institute and State

University ; Stephanie U. Balko; Veronica Bobb, Virginia

Polytechnic Institute and State University

229 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

SSC

231 CC-Hall D

Contributed Oral Poster Presentations—

Contributed

Section on Statistical Consulting

Chair(s): Lara Schmidt, RAND Corporation

Statistical Analysis of Text

24 A Stylometric Analysis Method with Semiparametric

Bayesian Approach—◆Paramjit S. Gill, The University of British Columbia

Experimental design

30 Testing for Co-Directional and Anti-Directional Interactions

Using Union-Intersection and Intersection-Union

Methods—◆Julia L. Sharp, Clemson University;

Patrick D. Gerard, Clemson University

Statistical consulting

31 Testing Equal Protection of the Law: Unequal Quanta of Evidence in Drunken Driving Prosecutions in New

Jersey—◆Ayako Kambara, Applied Statistical

Consulting, LLC

32 A Student Perspective: My Learning Experience in a

University Statistical Consulting Center—◆Whitney B.

Miner, Grand Valley State University ; Phyllis J. Curtiss,

Grand Valley State University

Washington, DC 117

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

33 A Case Study of Fitting and Comparing Nonlinear

Parameters for Predicting Poultry Contamination—

Andy Mauromoustakos, University of Arkansas ;

Min Li, University of Arkansas

Incomplete data analysis, imputation methods

39 NOCF! The future in Missing Data—◆Herbert Thijs,

Hasselt University

232

WNAR

CC-Hall D

Contributed Oral Poster Presentations—

Contributed

Biometrics, bioinformatics, computational biology

34 Detecting Subclusters in Outliers by Cluster Analysis—

Dongseok Choi, Oregon Health & Science University

;

Zhixin Kang, The University of North Carolina at Pembroke

;

Carrie Nielson, Oregon Health & Science University ; Eric

Orwoll, Oregon Health & Science University

; George Tiao,

The University of Chicago

QC, operation research, risk assessment

40 Nonparametric Tolerance Interval Approach for

Specifications—◆Meiyu Shen, FDA; Yi Tsong, FDA

Clinical trials, drug discovery

41 The Impact of Bioavailability on the Continual

Reassessment Method—◆Jessica E. Pruszynski, Baylor

University

; Anna McGlothlin, Eli Lilly and Company; John

W. Seaman, II, Baylor University

Biometrics, bioinformatics, computational biology

42 Visual Diagnostics for Pharmacokinetic Models—

Xiaoyong Sun, Iowa State University

; Dianne Cook,

Iowa State University

233 CC-Hall D n

Contributed Oral Poster Presentations:

New Statistical Developments Advancing

Biopharmaceutical Research—Contributed

Biopharmaceutical Section, ENAR

Chair(s): Yang Yang, FDA

Applications and case studies

43 Guidelines for the Analysis of FDG-PET Imaging

Biomarkers—◆Patricia English, Pfizer Inc.; David Raunig,

Pfizer Inc.

; Santos Carvajal-Gonzalez, Pfizer Inc.; Yanwei

Zhang, Pfizer Inc.

Longitudinal data, repeated measurements, and meta-analysis

44 Recurrent Events Data Analysis in Medical Device Trials—

Cathy Zeng, Medtronic, Inc.

Social and behavioral science

35 Analyzing Quality-of-Life Data—◆Robert Norton, California

State University, East Bay

; Yan Yan Zhou, California State

University, East Bay

Clinical trials, drug discovery

36 Post-Randomization Subgroup: A Tale of Analysis in Early

Responders—◆Yue Shentu, Merck & Co., Inc.

Reliability and survival modeling, risk analysis

45 A Comparison of Statistical Approaches for Cluster

Randomized Trials with Survival Outcomes—◆Margaret R.

Stedman, Brigham and Women’s Hospital

; David Gagnon,

Boston University School of Public Health

; Robert Lew,

Boston University ; Elena Losina, Boston University;

Daniel Solomon, Brigham and Women’s Hospital

;

M. Alan Brookhart, Brigham and Women’s Hospital/

Harvard Medical School

Applications and case studies

37 Rank-Based Adjustment of Baseline Imbalance in

Assessing BOTOXÆ Dose-Dependent Response of

Reducing Urinary Urge Incontinence in a Phase II

Trial—◆Jihao Zhou, Allergan Pharmaceuticals, Inc.;

Thomas Lin, Allergan Pharmaceuticals, Inc.

; Corneliar

Haag-Molkenteller, Allergan Pharmaceuticals, Inc.

;

Catherine Thompson, Allergan Pharmaceuticals, Inc.

;

Grace Daniell, Allergan Pharmaceuticals, Inc.

; Anand Patel,

Allergan Pharmaceuticals, Inc.

; Brenda Jenkins, Allergan

Pharmaceuticals, Inc.

Clinical trials, drug discovery

46 Biased Results from Single-Arm Phase II Cancer Clinical

Trials: Simulations Based on a Large Clinical Trial—◆Hui

Tang, Mayo Clinic

; Nathan R. Foster, Mayo Clinic; Richard

M. Goldberg, The University of North Carolina at Chapel

Hill

; Daniel Sargent, Mayo Clinic

47 Evaluation of the Randomized Placebo-Phase Design for Clinical Trials—◆Stephanie L. Shook, University of

Pittsburgh

; Howard Rockette, University of Pittsburgh

Clinical trials, drug discovery

38 A Fixed Study Design with Conditional Serial Assessment of Co-Primary Endpoints: An Application to a Single-Arm

Pilot Oncology Trial—◆Jonathan Mahnken, The University of Kansas Medical Center ; Jo Wick, The University of

Kansas Medical Center

; Byron J. Gajewski, The University of Kansas

; Matthew S. Mayo, The University of Kansas

Medical Center

118 JSM 2009

Mathematical statistics, distribution theory, robust statistics

48 Zero-Modified Negative Binomial Distribution as a Robust

Family for Modeling Count Data—◆Qian Dong, Merck &

Co., Inc.

; Hongwei Wang, Merck & Co., Inc.; Arlene Swern,

Merck & Co., Inc.

; Eric C. Kleerup, University of California,

Los Angeles

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Incomplete data analysis, imputation methods

49 Comparison of Proportions of Composite Outcomes with Missing Values in their Components—◆Xianbin Li,

FDA

; Brian S. Caffo, Johns Hopkins Bloomberg School of

Public Health

Clinical trials, drug discovery

61 Making Decisions in Bioequivalence Studies: A Statistical

Contribution—◆Arminda L. Siqueira, Universidade Federal de Minas Gerais

; Daniela M. Braga, Agência Nacional de

Saúde Suplementar - Ministério da Saúde

; Paula R. Chellini,

Centro de Pesquisa em Biotecnologia

62 Gender Differences in QTcF Based on Moxifloxacin

Data—◆Moh-Jee C. Ng, FDA; Joanne Zhang, FDA; Lihan K.

Yan, The George Washington University

; Qianyu Dang, FDA

Semiparametric and nonparametric methods

50 A Semiparametric Survival Model—◆Ying Zhang, Merck

Research Laboratories

Bayesian statistics, hierarchical models

51 A Comparison Study of General Linear Mixed Model and

Permutation Tests in Group-Randomized Trials Under Non-

Normal Error Distributions—◆Dongyue Fu, Quintiles, Inc.;

David M. Murray, The Ohio State University

; Seok Wong,

University of Memphis

Experimental design

54 Efficacy with a Diamond Response Design—◆Charlie H.

Goldsmith, McMaster University

Clinical Trial Designs

63 Sample Size Determination in Clinical Trials with Multiple

Co-Primary Binary Endpoints—◆Takashi Sozu, Osaka

University ; Tomoyuki Sugimoto, Osaka University Graduate

School of Medicine

; Toshimitsu Hamasaki, Osaka University

Graduate School of Medicine

64 A Modified Group Sequential Design on Three-Arm

Noninferiority Trials with Binary Endpoints—◆Gang Li,

GlaxoSmithKline

; Shan Gao, Techdata LLC

Biometrics, bioinformatics, computational biology

52 Design of Experiments for Genetic Network

Identification—◆Theodore Allen, The Ohio State University;

Cenny Taslim, The Ohio State University

; Mario Lauria, The

Telethon Institute of Genetics and Medicine

Clinical trials, drug discovery

53 Optimal Treatment Allocation for a 2-Period, M Treatment

Clinical Trial with Fixed Subject Total—◆Theodore C.

Lystig, Boehringer Ingelheim Pharmaceuticals, Inc.

Clinical trials, drug discovery

65 A Likelihood-Based Model Adequacy Test of the

Four-Parameter Logistic Model for Data with No

Replicate Response—◆Wijith P. Munasinghe,

Kansas State University

; Kurex Sidik, Pfizer Global

Research & Development

QC, operation research, risk assessment

66 Risk Assessment of Drug Product Content Uniformity

Release Failure: A Bayesian Approach—◆David J.

LeBlond, Abbott Laboratories

Pharmacokinetics and pharmacodynamics

67 Two Methods of Estimating Kel and Half-Life,

Pharmacokinetic Considerations, and Statistical Tools—

Peng Chai, MDS Pharma Services

Clinical trials, drug discovery

55 Analysis of ITT Duration of Response—◆Ritwik Sinha,

Bristol-Myers Squibb Company

; Tai-Tsang Chen, Bristol-

Myers Squibb Company

; Chao Zhu, Bristol-Myers

Squibb Company

56 Predicting Analysis Times in Event-Driven Clinical Trials

Based on Blinded Data with Event-Reporting Lag—

Jianming Wang, Amgen, Inc.

; Chunlei Ke, Amgen, Inc.;

Qi Jiang, Amgen, Inc.

57 Estimation of Treatment Retention: The Peak-Trough

Ratio—◆William J. Coar, Gilead Colorado, Inc.; Darrin

Despain, Gilead Colorado, Inc.

; Brian L.

Wiens, Gilead Sciences, Inc.

58 What If the Data Were Not Missing?—◆K. F. Yee, Akros

Pharma Inc.

59 Beta-Mapping and Beta-Regression for Changes of

Ordinal-Rating Measures on Likert Scales: A Comparison

Among Multiple Treatment Groups—◆Kelly H. Zou, Pfizer

Inc.

; Martin O. Carlsson, Pfizer Inc.

Clinical trials, drug discovery

68 A Bayesian Approach for Tailored Therapy Strategy:

Hidden Markov Mixture ITP Model for Predicting Patient

Response to Therapy—◆Wei Chen, University of Michigan;

Haoda Fu, Eli Lilly and Company

69 Analysis of Recurrent Events Could Be Superior to the

Time-to-First Event in Assessment of Drug Therapy in

Patients with Arrhythmias—◆Hussein

Al-Khalidi, STATKING Consulting, Inc.

Biometrics, bioinformatics, computational biology

70 Power and Sample Size Planning as Function of

Correlation and Odds Ratio for Exact McNemar Test—

John D.S. Hwang, B.R.S.I.

; ◆James Lee,

Daiichi Sankyo Pharma Development

Biometrics, bioinformatics, computational biology

60 A Semiparametric Copula Method on Building Oncology

Association Network with Multiple Pathways, Genotypes, and Phenotypes—Le Bao, University of Washington; Zhou

Zhu, Pfizer Inc.

; ◆Jingjing Ye, Pfizer Inc.

Washington, DC 119

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Computational statistics, numerical methods, simulation

71 Using STATLIA for Bioassay Evaluation in

Regulatory Environment—◆Lev Sirota, FDA;

Boris G. Zaslavsky, FDA

Clinical trials, drug discovery

72 A Multi-Stage, Model-Free Test of Synergy in

Drug Combinations—◆Colleen Kelly, Exponent, Inc.;

Ping Feng, National Base for Drug Clinical Trials

; Toana

Kawashima, Fred Hutchinson Cancer Research Center ;

Anja Wilmes, Victoria University of Wellington

; John

Miller, Victoria University of Wellington

Invited Sessions 4:00 p.m.–5:50 p.m.

234 CC-Ballroom A-B

J

ASA President’s Invited Address—Invited

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Sally C. Morton, RTI International

Chair(s): Sally C. Morton, RTI International

Biometrics, bioinformatics, computational biology

73 Using Hierarchical Group Filters in High-Throughput

Analysis to Improve the True Positive Discovery Rate—

Shesh N. Rai, University of Louisville

; Christopher N.

Barnes, University of Louisville

4:05 p.m.

Measurement Matters: Why Good Statistics Are

Important to Understanding the Well-Being of

American Families—◆Rebecca M. Blank,

Under Secretary of Commerce for Economic Affairs,

U.S. Department of Commerce

5:30 p.m. Floor Discussion

Clinical Trial Designs

74 R Package for Practitioners: ‘Robust Priors in Clinical

Trials’—◆Jairo A. Fuquene, University of Puerto Rico

235 CC-Ballroom A-B

IMS Presidential Address—Invited

IMS

Organizer(s): Michael Kosorok, The University of North Carolina at

Chapel Hill

Chair(s): Jianqing Fan, Princeton University

Clinical trials, drug discovery

75 The Relative Efficiency of Volumetric Neuroimaging

Measures as Outcomes in Clinical Trials—◆Steven D.

Edland, University of California, San Diego

76 Analyses of ‘Favorite Data Sets from Drug Research’ by Undergraduate Students—◆Sarah Downing,

John Carroll University ; Thomas H. Short, John

Carroll University

Bayesian statistics, hierarchical models

77 A Bayesian Approach to Dose-Response Assessment and

Synergy—◆Violeta G. Hennessey, The University of Texas

M.D. Anderson Cancer Center

8:00 p.m. Presentation of Awards—◆Nanny Wermuth,

Chalmers/Gothenburg University

8:30 p.m. On the Development of Insight: Some Examples in the Statistical Sciences—◆Nanny Wermuth,

Chalmers/Gothenburg University

9:15 p.m. Floor Discussion

Clinical trials, drug discovery

78 Experiences in Outsourcing—◆Jennifer E.

Hamer-Maansson, AstraZeneca Pharmaceuticals

79 Surrogate Biomarkers in Prediction of Treatment Effect of

Progression-Free Survival and Overall Survival in Non-

Small Cell Lung Cancer: A Case Study—◆Linda Sun,

Merck & Co., Inc.

; Cong Chen, Merck Research Laboratories

Biometrics, bioinformatics, computational biology

80 Impact of Covariates on Feature Selection in Microarray

Analysis—◆Elizabeth McClellan, Southern Methodist

University

; Monnie McGee, Southern Methodist University;

Richard Scheuermann, Pathology U.T. Southwestern

Medical Center

120 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

tuesdAy, AuGust 4

Tours

TR09 - The Kennedys: A Georgetown Walking Tour

9:00 a.m.–1:00 p.m.

TR10 - The Neighborhoods of Washington, DC: Not Just the Nation’s Capital City

9:00 a.m.–1:00 p.m.

TR11 - Welcome to Washington Tour

2:00 p.m.–6:00 p.m.

Committee/Business Meetings &

Other Activities

7:00 a.m.–8:30 a.m. RH-Meeting Room 6

Membership Surveys Committee Annual JSM Meeting

Chair(s): Tim Keyes, General Electric

7:00 a.m.–8:30 a.m.

Journal Business Meeting

Chair(s): Amy Prisco, Wiley

CC-2nd Floor Overlook East

7:00 a.m.–8:30 a.m. CC-205

ASA Committee on Minorities in Statistics Business

Meeting (Closed)

Chair(s): Brian Millen, Eli Lilly and Company

7:00 a.m.–8:30 a.m.

Committee on Professional Ethics

Chair(s): Thomas Petska, IRS

RH-Meeting Room 17

7:00 a.m.–8:30 a.m. RH-Meeting Room 2

Sequential Analysis Journal: Editorial Board Breakfast

Meeting (closed)

Organizer(s): Nitis Mukhopadhyay, University of Connecticut

7:00 a.m.–8:30 a.m. RH-Meeting Room 4

Business and Economic Statistics Section Executive

Committee Meeting (closed)

Chair(s): Stuart Scott, Bureau of Labor Statistics

7:00 a.m.–8:30 a.m.

Technometrics Editorial Board Meeting (closed)

Chair(s): David M. Steinberg, Tel Aviv University

CC-303

7:00 a.m.–8:30 a.m. CC-2nd Floor Overlook West

Friends and Alumni of Brigham Young University Open

House Breakfast

Organizer(s): Del Scott, Department of Statistics

7:00 a.m.–10:00 a.m. CC-302

Section on Physical and Engineering Sciences Executive

Committee Meeting (closed)

Chair(s): Thomas Loughin, Simon Fraser University Surrey;

Tom Loughin, Simon Fraser University Surrey

7:00 a.m.–10:00 a.m. CC-301

Editorial Board: Statistics in Biopharmaceutical Research

(closed)

Chair(s): Joseph Heyse, Merck Research Laboratories

7:00 a.m.–6:00 p.m.

Speaker Management Room

7:00 a.m.–10:00 p.m.

Cyber Center

CC-154A

CC-East Registration

7:30 a.m.–8:30 a.m.

Statistics Surveys Online Journal

RH-Meeting Room 7

Chair(s): Wendy Martinez, U.S. Department of Defense

7:30 a.m.–10:00 a.m.

COC Annual Business Meeting

RH-Meeting Room 5

Chair(s): John Hall, Mathematica Policy Research, Inc.

7:30 a.m.–4:30 p.m.

JSM Main Registration

CC-East Registration

7:30 a.m.–4:30 p.m. CC-East Registration

ASA Membership/Special Assistance/Press Desk

8:00 a.m.–12:00 p.m. RH-Renaissance Ballroom East

Committee of Presidents of Statistical Societies (closed)

Organizer(s): Jessica M. Utts, University of California, Irvine

8:00 a.m.–5:00 p.m. Off Property

Meeting Within a Meeting Statistics Workshop for K–12

Math and Science Teachers: Visit to the U.S. Census

Bureau and JSM (closed)

Chair(s): Martha Aliaga, ASA

CC-Hall D 8:00 a.m.–6:00 p.m.

Career Placement Service

8:00 a.m.–6:00 p.m.

Exhibitor Lounge

CC-Hall D

Washington, DC 121

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

8:30 a.m.–10:00 a.m.

JASA Business Meeting (closed)

Chair(s): David Banks, Duke University

RH-Meeting Room 3

9:00 a.m.–5:30 p.m.

ASA Marketplace

9:00 a.m.–6:00 p.m.

EXPO 2009

CC-East Registration

CC-Hall D

9:00 a.m.–6:00 p.m.

American Statistical Association Booth #101

CC-Hall D

11:00 a.m.–12:30 p.m. RH-Meeting Room 3

JASA Reviews Editors Meeting (closed)

Chair(s): Dalene K. Stangl, Duke University

12:30 p.m.–2:00 p.m.

Deming Luncheon

Chair(s): Nicholas I. Fisher, University of Sydney

CC-210

12:30 p.m.–1:30 p.m.

IMS Business Meeting

RH-Meeting Room 2

Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael

Steele, IMS President; Nanny Wermuth, IMS President

12:30 p.m.–2:00 p.m. RH-Meeting Room 4

JABES Management Committee Business Meeting

Chair(s): Jean Opsomer, Colorado State University

12:30 p.m.–2:00 p.m.

SBSS Business Meeting

RH-Meeting Room 6

Chair(s): Joseph G. Ibrahim, The University of North Carolina at

Chapel Hill

12:30 p.m.–2:00 p.m.

JASA Associate Editors Meeting

Chair(s): David Banks, Duke University

RH-Meeting Room 3

12:30 p.m.–2:00 p.m. RH-Meeting Room 17

JCGS Management Committee (closed)

Chair(s): JLynn Palmer, The University of Texas M.D. Anderson

Cancer Center

12:30 p.m.–2:30 p.m.

TAS Editors’ Lunch

RH-Meeting Room 5

Chair(s): Janet Wallace, The American Statistician; John Stufken,

The University of Georgia

12:30 p.m.–4:30 p.m. CC-2nd Floor Overlook West

ENAR RAB/RECOM Lunch Meeting (by invitation only)

Organizer(s): Kathy Hoskins, ENAR

1:00 p.m.–2:30 p.m.

Current Index to Statistics Management Committee

CC-303

Chair(s): James E. Gentle, George Mason University

1:30 p.m.–3:30 p.m.

COC Traveling Course Meeting

Chair(s): Glenn White, Ernst & Young, LLP

CC-302

2:00 p.m.–3:00 p.m. CC-Ballroom A-B

ASA Presidential Address and Awards Session Rehearsal

(closed)

3:00 p.m.–4:30 p.m.

George Mason University Alumni Reception

CANCELLED

CC-303

4:00 p.m.–5:30 p.m. RH-Meeting Room 3

Improving Student Performance with Mastery-Based

Statistics Software

Organizer(s): Brittany Walker, Hawkes Learning Systems

4:00 p.m.–5:30 p.m.

Committee on Applied Statisticians Social Mixer

Chair(s): Lei Zhu, GlaxoSmithKline

CC-303

4:00 p.m.–6:00 p.m. RH-Renaissance Ballroom East

COC Workshop and Reception

Chair(s): John Hall, Mathematica Policy Research, Inc.

4:30 p.m.–6:00 p.m.

Biometrics Editorial Board Meeting (closed)

CC-301

Organizer(s): Marie Davidian, North Carolina State University

5:00 p.m.–6:30 p.m.

Discussion Group

Organizer(s): Susan Ellenberg, University of Pennsylvania

CC-302

5:00 p.m.–7:00 p.m. CC-102A

North Carolina State University, Department of Statistics

Organizer(s): Pam Arroway, North Carolina State University

5:00 p.m.–8:00 p.m.

IMS Council II Meeting

RH-Meeting Room 2

Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael

Steele, IMS President; Nanny Wermuth, IMS President

5:30 p.m.–6:30 p.m. CC-3rd Floor East Ear

Caucus for Women in Statistics Business Meeting and

Reception

Organizer(s): Marcia A. Ciol, University of Washington

5:30 p.m.–6:30 p.m. RH-Meeting Room 4

Section on Statistics and Marketing Business Meeting

Chair(s): Olivier Toubia, Columbia Business School

5:30 p.m.–6:30 p.m. RH-Meeting Room 5

Business and Economic Statistics Section Business

Meeting

Chair(s): Stuart Scott, Bureau of Labor Statistics

122 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

5:30 p.m.–7:00 p.m. RH-Meeting Room 7

Section on Nonparametric Statistics Business Meeting

Chair(s): Doug Wolfe, The Ohio State University

CC-157 5:30 p.m.–7:00 p.m.

Statistics in Epidemiology Mixer

Chair(s): Philip Rosenberg, National Cancer Insitute;

Philip Rosenberg, National Cancer Institute

5:30 p.m.–7:00 p.m. RH-Meeting Room 6

Section on Statistical Consulting Business Meeting

Chair(s): Bruce A. Craig, Purdue University

5:30 p.m.–7:00 p.m. CC-207B

Biopharmaceutical Section Annual Business Meeting and Mixer

Chair(s): Anna B. Nevius, FDA

5:30 p.m.–7:30 p.m. CC-209A

University of Michigan Biostatistics/Statistics Joint

Alumni Reception

Organizer(s): Roderick Little, University of Michigan; Vijay Nair,

University of Michigan

5:30 p.m.–7:30 p.m.

Joint Q&P/SPES Business Meeting and Mixer

CC-149A

Chair(s): Thomas Loughin, Simon Fraser University Surrey;

Tom Loughin, Simon Fraser University Surrey

5:30 p.m.–7:30 p.m.

Penn State Alumni Dinner

Chair(s): Bruce Lindsay, Penn State University

Off Property

5:30 p.m.–7:30 p.m. Off Property-1640 Rhode Island Ave.

Committee on Gay and Lesbian Concerns Reception with

Guest Speaker

Organizer(s): Barry Johnson, Bureau of Labor Statistics

5:30 p.m.–7:30 p.m. CC-160

Section on Government Statistics Business Meeting

Chair(s): Robert Lussier, Statistics Canada

5:30 p.m.–8:30 p.m.

SBSS Mixer

CC-206

Chair(s): Joseph G. Ibrahim, The University of North Carolina at

Chapel Hill

6:00 p.m.–8:00 p.m.

Wisconsin Reception

CC-2nd Floor Overlook East

Organizer(s): Kam Tsui, Department of Statistics

6:00 p.m.–8:00 p.m. RH-Meeting Room 17

Rice University Department of Statistics

Organizer(s): Katherine Ensor, Department of Statistics

6:00 p.m.–8:00 p.m. CC-205

Stanford University Statistics Department Alumni Reunion

Organizer(s): James Gareth, University of Southern California

6:00 p.m.–8:30 p.m. CC-2nd Floor Overlook West

ASA Committee on Minorities in Statistics Reception

Chair(s): Brian Millen, Eli Lilly and Company

6:30 p.m.–7:30 p.m. CC-Ballroom A-B

2009 New Fellows Reception (by invitation only)

Chair(s): John H. Thompson, National Opinion Research Center

6:30 p.m.–8:00 p.m. RH-Meeting Room 5

Joint Reception of Business and Economic Statistics

Section and Section on Statistics and Marketing

Chair(s): Stuart Scott, Bureau of Labor Statistics; Olivier Toubia,

Columbia University

6:30 p.m.–8:00 p.m.

The George Washington University Department of

CC-303

Statistics Alumni Reception

Organizer(s): Reza Modarres, The George Washington University

7:00 p.m.–7:30 p.m. CC-Ballroom A-B

2009 ASA New Fellows Group Picture (closed)

9:30 p.m.–12:00 a.m. RH-Congressional Ballroom A & B

JSM Informal Dance Party

Continuing Education (Fee Events)

CE_22C

Absolute Risk Prediction

8:00 a.m.–12:00 p.m. RH-Renaissance Ballroom West A

ASA, Biometrics Section

Instructor(s): Mitchell H. Gail, National Cancer Institute;

Ruth Pfeiffer, National Cancer Institute

CE_23C

State Space Time Series Analysis in Practice

8:30 a.m.–5:00 p.m. RH-Meeting Rooms 12, 13, 14

ASA, Business and Economic Statistics Section

Instructor(s): Siem Jan Koopman, Vrije Universiteit Amsterdam

CE_24C

Statistical Meta-Analysis: Methods and Applications

8:30 a.m.–5:00 p.m. RH-Meeting Room 16

ASA

Instructor(s): Bimal Sinha, University of Maryland, Baltimore

County; Guido Knapp, Dortmund University of Technology

Washington, DC 123

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

CE_25C

Monte Carlo and Bayesian Computation with R

8:30 a.m.–5:00 p.m. RH-Meeting Rooms 8 & 9

ASA, Section on Physical and Engineering Sciences

Instructor(s): Maria Rizzo, Bowling Green State University; James

Albert, Bowling Green State University

CE_26C

Comprehensive Data Analysis Using Interactive Statistical

Graphics

8:30 a.m.–5:00 p.m. RH-Meeting Room 15

ASA, Section on Statistical Graphics

Instructor(s): Martin Theus, Telefonica o2-Germany GmbH & Co.

OHG; Simon Urbanek, AT&T Labs

CE_27C

Applied Bayesian Nonparametric Mixture Modeling

8:30 a.m.–5:00 p.m. RH-Meeting Rooms 10 & 11

ASA, Section on Bayesian Statistical Science

Instructor(s): Athanasios Kottas, University of California, Santa Cruz;

Abel Rodriguez, University of California, Santa Cruz

CE_28C

Analysis of Clinical Trials: Theory and Applications

8:30 a.m.–5:00 p.m. RH-Renaissance Ballroom West B

ASA, Biopharmaceutical Section

Instructor(s): Devan V. Mehrotra, Merck Research Laboratories;

Alexei A. Dmitrienko, Eli Lilly and Company; Keaven Anderson,

Merck & Co., Inc.

CE_29C

Bootstrap for Complex Surveys

1:00 p.m.–5:00 p.m. RH-Renaissance Ballroom West A

ASA, Section on Survey Research Methods

Instructor(s): Stanislav Kolenikov, University of Missouri-Columbia

JSM Informal

Dance Party

Tuesday, August 4

9:30 p.m. – Midnight

Renaissance Washington, DC, Hotel

Congressional Ballrooms A and B

124 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Roundtables with Coffee

7:00 a.m.–8:15 a.m.

236 CC-Ballroom South Prefunction

Section for Statistical Programmers and

Analysts Roundtables with Coffee (fee event

Section for Statistical Programmers and Analysts

Organizer(s): Chengying Wu, sanofi-aventis

239 CC-Ballroom South Prefunction

Section on Statistical Education Roundtables with Coffee (fee event)

Section on Statistical Education

Organizer(s): Tisha L. Hooks, Winona State University

TL07 The Basics of the Survey of Attitudes Toward Statistics—

Marjorie E. Bond, Monmouth College

TL01 How to Make Programming Fun—◆Colin (Lin) Chen,

Fannie Mae

TL02 Reproducible Research—◆John D. Cook, The University of Texas M.D. Anderson Cancer Center

TL03 It All Starts with Statistical Programming—◆Nancy Wang,

MDS Pharma Services

; Peng Chai, MDS Pharma Services

TL04 Issues Around Repeated and Random Statements and Considering the Time as Class versus Continuous

Variable—◆Radhi F. Abdulnabi, Ovation

Pharmaceuticals, Inc

240 CC-Ballroom South Prefunction

Section on Statistics and the Environment

Roundtable with Coffee (fee event)

Section on Statistics and the Environment

Organizer(s): Petrutza Caragea, Iowa State University

TL08 If Scientists Agreed to Collect Data However We Wanted,

Would We Know What to Tell Them?—◆Mark S. Kaiser,

Iowa State University

237 CC-Ballroom South Prefunction

Section on Government Statistics Roundtable with Coffee (fee event)

Section on Government Statistics

Organizer(s): Lisa Blumerman, U.S. Census Bureau

TL05 The Interaction of the Statistician with the Subject Matter

Expert: Statistics as a Chameleon Discipline—◆Margaret

D. Carroll, National Center for Health Statistics

Special Presentation

8:30 a.m.–10:20 a.m.

241 CC-202A

Introductory Overview Lecture: Designing

Longitudinal Studies—Other

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Wendy Martinez, U.S. Department of Defense

Chair(s): Radu Herbei, The Ohio State University

238 CC-Ballroom South Prefunction

Section on Health Policy Statistics Roundtables with Coffee (fee event)

Section on Health Policy Statistics

Organizer(s): Susan Paddock, RAND Corporation

8:35 a.m.

How Many Subjects and How Many

Measurements? The Design of Longitudinal

Studies—◆Donna L. Spiegelman, Harvard School of Public Health

10:00 a.m. Floor Discussion

TL06 Predictive Modeling of Health Care Outcomes for

Underwriting and Disease Management: Industry’s

Lessons, Trends, Comparative Studies—◆Ognian K.

Asparouhov, MEDAI, Inc.

242

ASA College Stat Bowl I—Other

CC-102B

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Stephanie Cano, The University of Texas at

San Antonio

Chair(s): Stephanie Cano, The University of Texas at San Antonio

Washington, DC 125

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Invited Sessions

8:30 a.m.–10:20 a.m.

243 CC-206

J

New Development in Empirical Likelihood and

Its Application—Invited

Section on Nonparametric Statistics

Organizer(s): Yichuan Zhao, Georgia State University

Chair(s): Song Yang, National Institutes of Health

8:35 a.m. Semiparametric Hybrid Empirical Likelihood

Inference for Two-Sample Studies with Censored

Data—◆Hua Liang, University of Rochester

9:00 a.m. Full Likelihood Inferences in the Cox Model—

Jian-Jian Ren, University of Central Florida

9:25 a.m.

Empirical Likelihood Inference for Regression

Model of Mean Quality-Adjusted Lifetime with

Censored Data—◆Hongkun Wang, University of

Virginia ; Yichuan Zhao, Georgia State University

9:50 a.m. Empirical Likelihood Confidence Intervals for the

Ratio and Difference of Two Hazard Functions—

Yichuan Zhao, Georgia State University ; Meng

Zhao, Georgia State University

10:15 a.m. Floor Discussion

245 n J

Advanced Reliability Methods with

Applications—Invited

CC-153

Section on Physical and Engineering Sciences, Section on Quality and Productivity

Organizer(s): I-Li Lu, The Boeing Company

Chair(s): Ranjan Paul, The Boeing Company

8:35 a.m.

Using Accelerated Life Tests Results to Predict

Product Field Reliability—◆William Q. Meeker, Iowa

State University

; Luis A. Escobar, Louisiana State

University ; Yili Hong, Iowa State University

9:00 a.m. The Development of Advanced Reliability Methods for Aircraft Maintenance Optimization Process—

I-Li Lu, The Boeing Company ; Anbessie A.

Yitbarek, The Boeing Company ; Ranjan Paul, The

Boeing Company

; Elizabeth A. Whalen, The Boeing

Company

; Shuying Zhu, The Boeing Company

9:25 a.m. Reliability in Supercomputing: A Million Processors

Cooperating to Solve One Problem—◆George

Ostrouchov, Oak Ridge National Laboratory

; Thomas

J. Naughton, III, Oak Ridge National Laboratory

;

Stephen L. Scott, Oak Ridge National Laboratory

9:50 a.m. Detection of Nuclear Material Entering Ports: An

Analytic Framework for Data and Policy Analysis—

Siddhartha Dalal, RAND Corporation

10:15 a.m. Floor Discussion

244 CC-160 n J

Macroeconomic Forecasting—Invited

JBES-Journal of Business & Economic Statistics, Section on

Risk Analysis

Organizer(s): Serena Ng, Columbia University

Chair(s): Serena Ng, Columbia University

246 CC-159B n J

New Developments in Survey Sampling—

Invited

International Indian Statistical Association, Section on Survey

Research Methods, Section on Bayesian Statistical Science,

Section on Government Statistics

Organizer(s): Gauri S. Datta, The University of Georgia

Chair(s): William R. Bell, U.S. Census Bureau

8:35 a.m.

Macroeconomic Forecasting—◆David

Reifschneider, Board of Governors

9:00 a.m. The Production of ECB Staff Macroeconomic

Projections—◆Demosthenes Ioannou, European

Central Bank

9:25 a.m. Forecasting Global Economic Conditions at the IMF—◆Thomas F. Helbling, International

Monetary Fund

9:50 a.m. Economic Projections at the Bank of Canada—

Stephen Murchison, Bank of Canada

10:15 a.m. Floor Discussion

8:35 a.m.

Cross-Validation in Survey Estimation:

Model Selection and Variance Estimation—

Jean Opsomer, Colorado State University

9:00 a.m. Bayesian Benchmarking with Applications to Small

Area Estimation—◆Gauri S. Datta, The University of

Georgia

; Malay Ghosh, University of Florida; Rebecca

Steorts, University of Florida

; Jerry J. Maples, U.S.

Census Bureau

9:25 a.m. A Bayesian Adjustment for a Selection Bias in

Genetics—◆Balgobin Nandram, Medical College of Georgia

9:50 a.m. New Developments in Model-Based Small Area

Estimation—◆Danny Pfeffermann, Hebrew

University/University of Southampton

10:15 a.m. Floor Discussion

126 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

247 CC-143A

Advances in Spatial and Spatio-Temporal

Modeling—Invited

Section on Statistical Computing, Section on Bayesian Statistical

Science, Biometrics Section, Section on Statistics and the

Environment, Social Statistics Section, Interface Foundation of North America

Organizer(s): Jonathan R. Stroud, The George

Washington University

Chair(s): Cari Kaufman, University of California, Berkeley

249

New Frontiers in Survival Analysis and

Clinical Trials—Invited

CC-202B

WNAR, Section on Bayesian Statistical Science,

Biopharmaceutical Section

Organizer(s): Gang Li, University of California, Los Angeles

Chair(s): Ying Lu, University of California, San Francisco

8:35 a.m.

Multilevel Adaptive Sampling for Inverse

Problems—◆Dave Higdon, Los Alamos

National Laboratory ; J. David Moulton,

Los Alamos National Laboratory

9:00 a.m. Conditional Simulation of Spatial-Temporal Random

Fields—◆Michael Stein, The University of Chicago

9:25 a.m. A Class of Nonlinear Spatio-Temporal Dynamic

Models—◆Christopher Wikle, University of

Missouri-Columbia

9:50 a.m. The Other World of Large Spatial Data Sets in the

Geosciences—◆Douglas Nychka, National Center for Atmospheric Research

10:15 a.m. Floor Discussion

8:35 a.m.

Gamma Frailty Transformation Models for

Multivariate Survival Times—◆Joseph G. Ibrahim,

The University of North Carolina at Chapel Hill

;

Donglin Zeng, The University of North Carolina at

Chapel Hill ; Qingxia Chen, Vanderbilt University

9:00 a.m. Joint Models for Longitudinal and Survival Data—

Jeremy Taylor, University of Michigan

9:25 a.m. Causal Inference for Randomized Clinical Trials with a Survival Outcome and All-or-None Treatment

Noncompliance—◆Gang Li, University of California,

Los Angeles

9:50 a.m.

Disc: Ian McKeague, Columbia University

10:10 a.m. Floor Discussion

248 CC-150A n J

Recent Advances in Small-Area Statistics—

Invited

Section on Survey Research Methods, Social Statistics Section,

Section on Government Statistics

Organizer(s): Ansu Chatterjee, The University of Minnesota

Chair(s): Parthasarathi Lahiri, University of Maryland

250 CC-209A

High-Dimensional Genetic Data—Invited

IMS

Organizer(s): Debashis Paul, University of California, Davis

Chair(s): Debashis Paul, University of California, Davis

8:35 a.m.

Model and Variable Selection in Hierarchical Small

Area Models—◆Michael D. Larsen, Iowa State

University

; Lu Lu, Iowa State University

9:00 a.m. Small Area Estimation Under Fay-Herriot Models with Nonparametric Estimation of Error Variances—

Domingo Morales, University Miguel Hernández de Elche ; Wenceslao González-Manteiga, University of Santiago de Compostela ; Isabel Molina, University

Carlos III de Madrid

; María J. Lombardía, University of Santiago de Compostela

; Laureano Santamaría,

University Miguel Hernández de Elche

9:25 a.m. Extended Small Area Models for Analysis of

Nonlinear Effects and Extremes—◆Snigdhansu

Chatterjee, The University of Minnesota

9:50 a.m. Small Area Estimation for Population Counts in the German Census 2011—◆Ralf T. Münnich,

University of Trier

; Jan P. Burgard, University of

Trier ; Martin Vogt, University of Trier

10:15 a.m. Floor Discussion

8:35 a.m.

Regularized Multivariate Regression for Identifying

Master Predictors—◆Jie Peng, University of

California, Davis

; Pei Wang, Fred Hutchinson Cancer

Research Center

; Ji Zhu, University of Michigan;

Jonathan Pollack, Stanford University

9:00 a.m. Prediction of Patient Outcomes Based on High-

Throughput Genetic Data Using Supervised

Principal Components—◆Eric Bair, The University of North Carolina at Chapel Hill

9:25 a.m. Estimation Methods for Multivariate Linear Time

Series—◆Prabir Burman, University of California,

Davis ; Metoyer N. Candace, Pacific Northwest

National Laboratory

9:50 a.m. Network-Based Prediction Model for Genomics

Data Analysis—◆Pei Wang, Fred Hutchinson Cancer

Research Center

; Ying Huang, Fred Hutchinson

Cancer Research Center

10:15 a.m. Floor Discussion

Washington, DC 127

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

251

IMS Medallion Lecture IV—Invited

IMS

CC-207A

Organizer(s): Xiaotong Shen, The University of Minnesota

Chair(s): Galin L. Jones, The University of Minnesota

Topic-Contributed Sessions

8:30 a.m.–10:20 a.m.

8:35 a.m.

Markov Chain Monte Carlo in Theoretical Computer

Science—◆Alistair Sinclair, University of

California, Berkeley

10:00 a.m. Floor Discussion

254 CC-204C

Functional and Dynamic Data Analysis to

Biomedical Research—Topic-Contributed

Biometrics Section

Organizer(s): Momiao Xiong, The University of Texas Health Science

Center at Houston

Chair(s): Peihua Qiu, The University of Minnesota

Invited Panels 8:30 a.m.–10:20 a.m.

252 CC-101

J

Adaptive Design: Where Are We Now?—

Invited

Biopharmaceutical Section, Biometrics Section

Organizer(s): Sue-Jane Wang, FDA

Chair(s): Sue-Jane Wang, FDA

Panelists:

Frank Bretz, Norvartis, Switzerland

Robert Hemmings, Medicines and Healthcare

Products Regulatory Agency

H.M. James Hung, FDA

Armin Koch, Federal Institute for Drugs and

Medical Devices

Chris Jennison, University of Bath

Robert O’Neill, FDA

Jerry Schindler, Merck Research Laboratories

Robert Temple, FDA

10:15 a.m. Floor Discussion

8:35 a.m.

Functional Maps of Cortico-Cortical Beta-

Frequency Coherence in a Macaque Monkey

Performing a Visual Working Memory Task—◆Mark

C. Greenwood, Montana State University

; Olga

Vsevolozhskaya, Montana State University

; Rodrigo

F. Salazar, Montana State University

; Charlie M.

Gray, Montana State University

8:55 a.m. Functional Structural Equation Models for

Deciphering the Path from Genomic Information to

Phenotypic Variation—◆Li Luo, The University of

Texas School of Public Health ; Momiao Xiong, The

University of Texas Health Science Center at Houston

9:15 a.m. Functional Mixture Regression—◆Fang Yao,

University of Toronto ; Yuejiao Fu, York University;

Thomas C.M. Lee, Chinese University of Hong Kong/

Colorado State University

9:35 a.m. Disc: Sheng Luo, The University of Texas at Houston

9:55 a.m.

Disc: Hao Xiong, University of California,

San Francisco

10:15 a.m. Floor Discussion

253 CC-157

Statistics and the Media: Getting the Questions and Answers Right—Invited

Scientific and Public Affairs Advisory Committee, Social Statistics

Section, Social Statistics Section

Organizer(s): Rosanne Desmone, ASA

Chair(s): Rosanne Desmone, ASA

Panelists:

Sharon Begley, Newsweek

Carl Bialek, Wall Street Journal

Tom Siegfried, Science News

Keith Winstein, Wall Street Journal

10:15 a.m. Floor Discussion

255 CC-144B n

Statistical Methods in Census Data Capture—

Topic-Contributed

Section on Government Statistics

Organizer(s): Fred Highland, Lockheed Martin

Chair(s): Dick Taylor, Evolver, Inc.

8:35 a.m. A Statistical Basis for Capacity Planning Risk

Analysis—◆Fred Highland, Lockheed Martin

8:55 a.m.

Truthing Production Data Capture—◆Brad Paxton,

ADI, LLC

; Steven P. Spiwak, ADI, LLC; Douglass

Huang, ADI, LLC

9:15 a.m. Using Association Analysis to Enhance Control

Chart Applications and Methods—◆Thomas

George, Evolver, Inc.

; Cathe Reeser, Lockheed Martin

9:35 a.m. Statistical Synthetic Data Generation for Census

Applications—◆John W. Dawson, ExactData, LLC

128 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:55 a.m. Use of Record Linkage Techniques to Improve

Data Capture Rates—◆Mario Hendricks, Lockheed

Martin

; David Bonatz, Lockheed Martin; Andrew

Graves, Lockheed Martin

10:15 a.m. Floor Discussion

9:35 a.m. Log-Linear Modeling of Health Services Use in a

Sample Survey—◆John S. Preisser, The University of North Carolina at Chapel Hill

; Thomas A. Arcury,

Wake Forest University

9:55 a.m.

Disc: G. Gordon Brown, RTI International

10:15 a.m. Floor Discussion

256 CC-204A n

Design and Analysis of Stratified Clinical

Trials—Topic-Contributed

Biopharmaceutical Section

Organizer(s): Byron Jones, Pfizer Inc.

Chair(s): Neal Thomas, Pfizer Inc.

8:35 a.m. Stratification in Design vs. Stratification in

Analysis—◆Byron Jones, Pfizer Inc.; Neal Thomas,

Pfizer Inc.

8:55 a.m. Reporting the Proportion of Subjects with an

Adverse Event from Multiple Studies—◆Christy

Chuang-Stein, Pfizer Inc.

; Mohan Beltangady,

Pfizer Inc.

9:15 a.m. The Use of Regression Models in Adjustment of Treatment Assignment—◆Valerii V. Fedorov,

GlaxoSmithKline

9:35 a.m. Stratification Usually Solves the Wrong Problem—

Thomas Permutt, FDA

9:55 a.m.

Disc: William F. Rosenberger,

George Mason University

10:15 a.m.

Floor Discussion

257 CC-102A n

Using SUDAAN for Analysis of Epidemiologic

Data—Topic-Contributed

Section on Statistics in Epidemiology, Section on Survey

Research Methods

Organizer(s): Angela Pitts, RTI International

Chair(s): Rick Williams, RTI International

258 CC-144C n J

Redesign of the National Survey on Drug

Use and Health: Balancing Data Needs, Costs, and Methodological Considerations—

Topic-Contributed

Section on Survey Research Methods, Section on

Government Statistics

Organizer(s): Jonaki Bose, Substance Abuse & Mental Health

Services Administration

Chair(s): Joe Gfroerer, Substance Abuse & Mental Health

Services Administration

8:35 a.m.

A Model-Based Method for Estimating Serious

Mental Illness Using Household Interview Data

Combined with Clinical Interviews—Lisa Colpe,

Substance Abuse & Mental Health Services

Administration

; ◆Jeremy Aldworth, RTI

International

8:55 a.m. What Is ‘Misuse’ of Prescription Drugs, and How Do

We Measure It?—◆James Colliver, Substance Abuse

& Mental Health Services Administration

9:15 a.m. Searching for a Gold Standard: Comparisons of

NSDUH Data with External Sources to Assess

Coverage and Validity—◆Jonaki Bose, Substance

Abuse & Mental Health Services Administration

; Joe

Gfroerer, Substance Abuse & Mental Health Services

Administration

; Deborah Trunzo, Substance Abuse &

Mental Health Services Administration

9:35 a.m. Evaluating the reliability of NSDUH data on drug use, mental health and demographics—◆Joel

Kennet, Substance Abuse & Mental Health Services

Administration ; Joe Gfroerer, Substance Abuse &

Mental Health Services Administration

9:55 a.m. Disc: Art Hughes, Substance Abuse & Mental Health

Services Administration

10:15 a.m. Floor Discussion

8:35 a.m.

Using Survey Data to Investigate Changes Over

Time in Health Indicators—◆Donna J. Brogan,

Emory University

8:55 a.m. Weighting Methods for Population-Based

Case-Control Study with Complex Sampling—

Yan Li, National Cancer Institute

; Barry I.

Graubard, National Cancer Institute

; Ralph

DiGaetano, Westat, Inc.

9:15 a.m. Using Projection Splines to Explore Racial

Differences in Gestational Age Distribution Among

Very Low-Risk Women—◆Nedra Whitehead,

RTI International

; Jun Liu, PPD, Inc.; Lei Li,

RTI International

; Jason Hsia, CDC

Washington, DC 129

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

259 CC-209B n

Student Paper Competition: Bayesian functional data analysis, model selection/ averaging, and prediction—Topic-Contributed

Section on Bayesian Statistical Science, International Indian

Statistical Association

Organizer(s): Michael J. Daniels, University of Florida

Chair(s): Ming-Hui Chen, University of Connecticut

9:55 a.m.

Post-Randomization Interaction Analyses in Clinical

Trials with Standard Regression—◆Rongmei

Zhang, University of Pennsylvania

; Jennifer Faerber,

University of Pennsylvania

; Thomas Ten Have,

University of Pennsylvania

10:15 a.m. Floor Discussion

8:35 a.m.

Stochastic Functional Data Analysis: A Bayesian

Perspective—◆Bin Zhu, University of Michigan;

Peter X.K. Song, University of Michigan

; Jeremy

Taylor, University of Michigan

9:15 a.m. Bayesian Model Averaging for Clustered

Data: Imputing Missing Daily Air Pollution

Concentrations—◆Howard Chang, Johns Hopkins

University

; Francesca Dominici, Johns Hopkins

University

; Roger D. Peng, Johns Hopkins Bloomberg

School of Public Health

9:35 a.m. The Role of Efron’s Statistical Curvature in Bayesian

Model Selection—◆Cedric E. Ginestet, Imperial

College London

9:55 a.m. Bayesian Prediction for GLMM Using High-Order

Laplace Approximation—◆Evangelos Evangelou,

The University of North Carolina at Chapel Hill ;

Zhengyuan Zhu, The University of North Carolina at

Chapel Hill

; Richard Smith, The University of North

Carolina at Chapel Hill

10:15 a.m. Floor Discussion

261

Benchmarking and Reconciliation—

Topic-Contributed

Organizer(s): Tucker S. McElroy, U.S. Census Bureau

Chair(s): Dominique Ladiray, Insee

CC-143C

Business and Economic Statistics Section, Social Statistics Section

8:35 a.m. Illustration and Convergence Property of the

Nonparametric Iterative Smoothing Method for

Benchmarking and Temporal Distribution—◆Benoit

Quenneville, Statistics Canada

; Susie Fortier,

Statistics Canada

; Christian Gagné, Statistics Canada

8:55 a.m. Testing Time Series Data Compatibility for

Benchmarking—◆Christian Gagné, Statistics Canada

9:15 a.m.

Simultaneous and Two-Step Reconciliation of

Systems of Time Series—◆Marco Marini, ISTAT;

Tommaso Di Fonzo, University of Padua

9:35 a.m. Direct vs. Indirect Seasonal Adjustment for CPS

National Labor Force Series—◆Thomas Evans,

Bureau of Labor Statistics

9:55 a.m. Temporal Aggregation and Seasonal Adjustment—

Nicholas von Sanden, Australian Bureau of Statistics

10:15 a.m. Floor Discussion

260 CC-150B

New Developments in Causal Inference—

Topic-Contributed

Section on Statistics in Epidemiology

Organizer(s): Dylan Small, University of Pennsylvania

Chair(s): Dylan Small, University of Pennsylvania

262

J

New Developments in Bayesian

Nonparametric Methodology—Topic-

Contributed

Section on Bayesian Statistical Science

CC-209C

Organizer(s): Abel Rodriguez, University of California, Santa Cruz

Chair(s): Lianming Wang, University of South Carolina

8:35 a.m.

Efficient Tests for Burden of Illness—◆Jing Cheng,

University of Florida

; Dylan Small, University of

Pennsylvania

8:55 a.m. Nonparametric Estimation of the Disease

Attributable Fraction—◆Wei Wang, University of Pennsylvania

9:15 a.m.

Sufficient Cause Interactions for Categorical and

Ordinal Exposures—◆Tyler VanderWeele, The

University of Chicago

9:35 a.m. Tests of Covariate Balance in Experiments and

Observational Studies—◆Ben B. Hansen, University of Michigan ; Jake Bowers, University of Illinois at

Urbana-Champaign ; Jake Bowers, University of

Illinois at Urbana-Champaign

8:35 a.m. Distance-Based Probability Distribution on

Set Partitions with Applications to Bayesian

Nonparametrics—◆David B. Dahl, Texas A&M

University

; Ryan Day, University of the Pacific;

Jerry Tsai, University of the Pacific

8:55 a.m. Dynamic Point Process Modeling with a DDP—

Matt Taddy, The University of Chicago

9:15 a.m. Semiparametric Bayesian Approach to Prediction of

Cancer Mortality Counts in the Presence of Spatial

Information—◆Kaushik Ghosh, University of Nevada

Las Vegas

; Pulak Ghosh, Novartis Pharmaceuticals;

Ram C. Tiwari, FDA

130 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. NP Bayes Functional Regression for a PK/PD Semi-

Mechanistic Model—◆Michele Guindani, University of New Mexico ; Peter Müller, The University of Texas

M.D. Anderson Cancer Center ; Gary L. Rosner, The

University of Texas M.D. Anderson Cancer Center

;

Lena Friberg, Uppsala University

9:55 a.m. On the Support of Levy Random Field Priors and

Applications to Posterior Consistency Problems—

Natesh S. Pillai, Warwick University

10:15 a.m. Floor Discussion

263

Assessing Effects of Interventions in

Longitudinal Naturalistic Data—

Topic-Contributed

Section on Health Policy Statistics

Organizer(s): Douglas Faries, Eli Lilly and Company

Chair(s): Robert Obenchain, Risk Benefit Statistics LLC

CC-144A

8:35 a.m. Assessing Causal Treatment Effects in Longitudinal

Naturalistic Data: Challenges and Methods—

Douglas Faries, Eli Lilly and Company

; Alan

Brnabic, Eli Lilly and Company

8:55 a.m. Considerations in Applying Marginal Structural

Models to Analyze Longitudinal Naturalistic Data—

Ouhong Wang, Amgen, Inc.

9:15 a.m. Maximum Likelihood Estimation of the Structural

Nested Mean Model Using SAS PROC NLP—

Daniel Almirall, Duke University

; Cynthia Coffman,

Duke University Medical Center

; William S. Yancy,

Jr., Duke University ; Susan Murphy, University of Michigan

9:35 a.m. Estimating Volume-Outcome Associations from

Longitudinal Naturalistic Data—◆Benjamin

French, University of Pennsylvania

; Farhood Farjah,

University of Washington

; David R. Flum, University of Washington

; Patrick Heagerty, University of Washington

9:55 a.m. Data-Mining Techniques for Longitudinal

Naturalistic Data—◆Anthony Zagar, Eli Lilly and

Company

; Robert Obenchain, Risk Benefit

Statistics LLC

10:15 a.m. Floor Discussion

264 CC-158A n

Monitoring for Informed Natural Resource

Management Decisions—Topic-Contributed

Section on Statistics and the Environment

Organizer(s): Joel H. Reynolds, U.S. Fish and Wildlife Service

Chair(s): Gretchen Moisen, U.S. Forest Service

8:35 a.m.

The Design of a Large-Scale Aerial Survey to

Monitor Wintering Sea Duck Populations—◆Emily

Silverman, U.S. Fish and Wildlife Service

; Mark

Koneff, U.S. Fish and Wildlife Service

; Kathy Fleming,

U.S. Fish and Wildlife Service

; James Wortham, U.S.

Fish and Wildlife Service

8:55 a.m. Spatial Design for the North American Breeding

Bird Survey (BBS): An Integrated Approach—

Emily H. Griffith, U.S. Geological Survey

;

J. Andrew Royle, U.S. Geological Survey

9:15 a.m.

The Structure of Human Development Across

Landscapes and Its Implications for Aquatic

Monitoring Programs—◆E. Ashley Steel,

NOAA Fisheries

9:35 a.m. Effective and Efficient Monitoring of Steller’s Eiders at Izembek Lagoon, Alaska: Barriers and Pitfalls—

Joel H. Reynolds, U.S. Fish and Wildlife Service

9:55 a.m. Floor Discussion

265 CC-149A

Some Recent Developments in Transportation

Statistics—Topic-Contributed

Social Statistics Section, Transportation Statistics Interest Group

Organizer(s): Promod Chandhok, U.S. Department of Transportation

Chair(s): Karl Sieber, National Institute for Occupational Safety and Health

8:35 a.m.

Nonresponse Bias Estimation in the Omnibus

Household Survey—◆Promod Chandhok, U.S.

Department of Transportation

8:55 a.m. A Case-Crossover Design Study for Evaluating the Safety Impact of Driver Behavior—◆Feng Guo,

Virginia Polytechnic Institute and State University

9:15 a.m. Enhancing the National Household Travel Survey

Data Series—Bennett K. Pierce, Battelle; ◆Robert

Santos, The Urban Institute

9:35 a.m. Transportation Finance Options: Who Is

Affected?—◆Heather Contrino, Federal Highway

Administration

; Robert Santos, The

Urban Institute

9:55 a.m.

Disc: Michael P. Cohen, NORC at the University of Chicago

10:15 a.m. Floor Discussion

Washington, DC 131

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Topic-Contributed Panels

8:30 a.m.–10:20 a.m.

266 CC-155 n

Experiences Involving Undergraduates in

Statistical Consulting—Topic-Contributed

Section on Statistical Education

Organizer(s): Neal Rogness, Grand Valley State University

Chair(s): Phyllis J. Curtiss, Grand Valley State University

Panelists:

Neal Rogness, Grand Valley State University

Nicholas Horton, Smith College

John Walker, Cal Poly

Brian Jersky, St. Mary’s College of California

10:15 a.m. Floor Discussion

Contributed Sessions

8:30 a.m.–10:20 a.m.

267 CC-142

Statistical Data Analysis in Macroeconomics and

Forecasting—Contributed

Business and Economic Statistics Section

Chair(s): Nikolay Gospodinov, Concordia University

8:35 a.m. Modeling Monetary Policy in Real Time: Does

Discreteness Matter?—◆Andrey Sirchenko,

European University Institute

8:50 a.m. On the Estimation of Forecasters’ Loss Function

Using Density Forecasts—◆Kajal Lahiri, State

University of New York at Albany

; Fushang Liu,

SUNY at Albany

9:05 a.m. Forecasting and Estimation Models of GDP—

Les Yen, University of Phoenix

9:20 a.m. Common Factors in Commodity Price Movements—

Joseph Gruber, Federal Reserve Board

; ◆Robert

Vigfusson, Federal Reserve Board

9:35 a.m. Constructive Data Mining: Modeling Argentine

Broad Money Demand—◆Neil R. Ericsson,

Federal Reserve Board

; Steven B. Kamin,

Federal Reserve Board

9:50 a.m. The Ability of the Comunicational Bias to Predict the

Direction of Monetary Policy Rates in an Emerging

Economy—◆Pablo M. Pincheira, Central Bank of Chile

10:05 a.m. Floor Discussion

268 CC-203B

Inferential Methods in Biostatistics—Contributed

ENAR

Chair(s): Jeffrey H. Stratton, University of Connecticut

8:35 a.m. A Bootstrap Testing Procedure for Building

Piecewise Linear Logistic Regression Models with Free-Knot Splines—◆Scott W. Keith, Thomas

Jefferson University

; David B. Allison, The University of Alabama at Birmingham

8:50 a.m. Hypothesis Testing of Correlation Parameters for

Several Familial Dependence Structures—◆Roy T.

Sabo, Virginia Commonwealth University

9:05 a.m. Testing Variance Components in Multilevel Linear

Models Using Approximate Bayes Factors—

Benjamin Saville, Vanderbilt University

; Amy

Herring, The University of North Carolina at

Chapel Hill

9:20 a.m. Test of Trend for Clustered Data with the Use of

Stochastic Ordering—◆Kyeongmi Cheon, The

University of Memphis ; Aniko Szabo, Medical

College of Wisconsin

; E. Olusegun George, The

University of Memphis

9:35 a.m. Statistical Inferences from Formaldehyde

DNA-Protein Cross-Link Data—◆Martin Klein,

University of Maryland, Baltimore County

9:50 a.m. Extracting Within-Experiment Precision of

Horticultural Experiments Useful for Meta-

Analysis—◆Dihua Xu, University of Maryland,

Baltimore County

10:05 a.m. Robust Tests of Independent Censoring for

Recurrent Event Data—◆Jimin Lee, The University of North Carolina at Asheville

; Yanqing Sun, The

University of North Carolina at Charlotte

269 n J

Transportation Risk—Contributed

Section on Risk Analysis

Chair(s): TBD

CC-148

8:35 a.m. A Critical Statistical Review of Some Transportation

Safety Studies—◆Norma F. Hubele, Arizona

State University

8:50 a.m. Risk Assessment in Traffic Safety—◆Elke A. Moons,

Hasselt University

; Christel Faes, Hasselt University;

Tom Brijs, Hasselt University

9:05 a.m. Hierarchical Models in the Insurance Industry—

Bill Stergiou, Deloitte Consulting LLP

9:20 a.m. The Serious Accidents in Car Insurance: A New

Appoach by Extreme Value Theory—◆Michel

Grun-Rehomme, University of Paris 2

9:35 a.m. Interpreting Differential Effects in Light of

Fundamental Statistical Tendencies—◆James P.

Scanlan, James P. Scanlan, Attorney at Law

132 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:50 a.m. Regression Analysis of the Relationship Between

Network Properties and Network Reliability—

Seth D. Guikema, Johns Hopkins University ;

Jacob Torres, Johns Hopkins University

10:05 a.m. Floor Discussion

270 CC-141

Discrete Data and Mixtures Computational and

Graphical Methods—Contributed

Section on Statistical Computing, Interface Foundation of

North America

Chair(s): Andrew C. Thomas, Harvard University

8:35 a.m.

Two Graphical Methods for Outlier Detection in

Discrete Distributions—◆Fiona McElduff, University

College London

8:50 a.m. Estimating Mixture Proportions When Categorized

Data Are Available—◆Shiju Zhang, St. Cloud

State University

9:05 a.m. Multiple Structural Breaks in Time Series of

Count Data: Forecasting the Number of Atlantic

Hurricanes—◆Beom Lee, University of South

Florida

; James E. Gentle, George Mason University

9:20 a.m. The Model Selection of Zero-Inflated Mixtured

Poisson Regression—◆Huaiye Zhang, Virginia

Polytechnic Institute and State University

; Inyoung

Kim, Virginia Polytechnic Institute and

State University

9:35 a.m. Choosing a Dissimilarity Representation for Pattern

Classification (and How to Use This Choice to

Improve Your Results)—◆Adam Cardinal-Stakenas,

Johns Hopkins University

; Carey E. Priebe, Johns

Hopkins University

; Zhiliang Ma, Johns Hopkins

University

; Youngser Park, Johns Hopkins

University ; Jeffrey L. Solka, Naval Surface

Warfare Center

9:50 a.m. A Robust Estimation Method for Finite Mixture of

Poisson Mixed-Effects Models—◆Liming Xiang,

Nanyang Technological University

10:05 a.m. P2P Networks—◆Adil Rajput, B. Point; Abdullah A.

Alnoshan, The George Washington University

271 n J

Graphical Methods for Massive or

CC-143B

High-Dimensional Data Sets—Contributed

Section on Statistical Graphics, Interface Foundation of

North America

Chair(s): Subhabrata Chakraborti, The University of Alabama

8:50 a.m. Voronoi Tessellation for Contour Plots—◆Hyunsook

Lee, Harvard-Smithsonian Center for Astrophysics

9:05 a.m. Sampling and Scripting for Exploration of Large

Databases—◆Danielle M. Wrolstad, Iowa

State University

9:20 a.m. Graph Theoretic Methods for Cluster Verification—

Bernard Harris, University of Wisconsin

9:50 a.m. The View Locked Color Image Grand Tour—

Bradley C. Wallet, University of Oklahoma

9:50 a.m. Visual Monitoring of Data Streams—◆Adam Loy,

Iowa State University ; Heike Hofmann, Iowa

State University

10:05 a.m. Tools for Identifying Homogenous Subgroups in Large Data—◆Yuanyuan Huang, Iowa State

University

; Heike Hofmann, Iowa State University;

Dianne Cook, Iowa State University

272 n

Statistics in Sports—Contributed

Section on Statistics in Sports, Section on Bayesian

Statistical Science

Chair(s): Matthew S. Johnson, Teachers College

CC-159A

8:35 a.m.

Odds Ratio Models in Sports—◆Carl N. Morris,

Harvard University

8:50 a.m. Home Advantage in Professional Tennis—

Ruud Koning, University of Groningen

9:05 a.m. Paired Comparison Models for Ranking National

Soccer Teams—◆Andrew W. Swift, University of

Nebraska at Omaha

; Shawn Hallinan, IMS Health

9:20 a.m. An Equitable Scoring System for March Madness

Pools—◆Ted A. Gooley, Fred Hutchinson Cancer

Research Center

; Barry E. Storer, Fred Hutchinson

Cancer Research Center

9:35 a.m. Models for Motorcycle Grand Prix Racing Times—

Leanne Streja, University of California, Los Angeles

;

Robert E. Weiss, University of California, Los

Angeles ; Catherine A. Sugar, University of California,

Los Angeles

9:50 a.m. Estimating the Effect of Synergy in Partnerships:

Evidence from Coaches and Football Teams from the German Premier League—◆Padma Rao Sahib,

University of Groningen

10:05 a.m. Accounting for Home Ice Advantage in Women’s

College Hockey Rankings: A Bayesian Approach—

Michael A. Rutter, Penn State University Erie

8:35 a.m.

Interactive System for the Analysis of Network

Flows—◆Lorraine Denby, Avaya Labs Research;

Wen-Hua Ju, Avaya Labs Research ; Fei Chen,

Avaya Labs Research ; James Landwehr, Avaya Labs

Research

; Pat Tendick, Avaya Labs Research

Washington, DC 133

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

273 CC-149B n

Estimating and Adjusting for Nonresponse

Bias—Contributed

Section on Survey Research Methods

Chair(s): James R. Chromy, RTI International

8:35 a.m. Assessing Nonresponse Bias in the International

Price Program’s Import and Export Price Index

Surveys—◆Jenny L. FitzGerald, Bureau of

Labor Statistics

8:50 a.m. March CPS Income Time Series Analysis 1976–

2007: Does Imputation Affect Poverty Estimates?—

Joan L. Turek, U.S. Department of Health and

Human Services

; Sameer Desale, Synectics for

Management Decisions, inc.

; Charles T. Nelson,

U.S. Census Bureau

; Fritz Scheuren, NORC at the

University of Chicago

9:05 a.m. Modeling Nonresponse and Under-Reporting in

Response in Surveys of the Arrestee Population—

Zhiwei Zhang, NORC at the University of Chicago

9:20 a.m. Analysis of Nonresponse Bias in the Early Head

Start Research and Evaluation Project—◆Barbara

L. Carlson, Mathematica Policy Research, Inc.

9:35 a.m. Effect on Oral Health Estimates of Response

Disparities: Results from the Survey of Oral

Health Status, Maryland School Children

2005--2006—◆Haiyan Chen, University of Maryland

Dental School

; Richard Manski, University of

Maryland Dental School

; Ronald Chenette,

University of Maryland Dental School

9:50 a.m. Effect of Survey Modes on Sampling Design,

Coverage, and Nonresponse in Surveys of

Veteran and Military Populations—◆Boris

Rachev, ICF International

10:05 a.m. Computing Response Rates for Probability-Based

Web Panels—Charles DiSogra, Knowledge Networks;

Mario Callegaro, Knowledge Networks

274

Sampling and Multiscaling Issues for

Environmental Studies—Contributed

Section on Statistics and the Environment

8:35 a.m.

Iowa State University

Protection Agency

CC-158B

Chair(s): William F. Christensen, Brigham Young University

Development of a Soil Moisture Sampling Scheme

Based on Scale and Validation Problems—◆Lisa

Bramer, Iowa State University

; Petrutza Caragea,

8:50 a.m. USEPA’s Targeted National Sewage Sludge

Survey—◆Marla D. Smith, U.S. Environmental

Protection Agency

; Rick Stevens, U.S. Environmental

9:05 a.m. Multivariate Downscaling of Outputs from

Numerical Models—◆Veronica J. Berrocal, Duke

University

; Alan E. Gelfand, Duke University

9:20 a.m. Bayesian Spatio-Temporal Downscaling Models for

Local Climate Prediction—◆Paul D. Baines, Harvard

University

; Xiao-Li Meng, Harvard University

9:35 a.m.

An Integrated Approach to Land Use Policy—

Chandra Aleong, Delaware State University

;

John Aleong, University of Vermont

9:50 a.m.

Sequential Sampling with Spatial Generalized

Linear Mixed Model with Application to Pest

Density Assessment—◆Judy X. Li, University of

California, Riverside

; Daniel Jeske, University of

California, Riverside

10:05 a.m. An Approach to Enhance Performance of Spatial

Smoothing Methods with Aggregated Data—

Nong Shang, CDC

275

Nonparametrics Testing—Contributed

Section on Nonparametric Statistics

Chair(s): Marc Genton, Texas A&M University

8:35 a.m.

CC-208A

The Split Sample Permutation t-Tests—◆Shunpu

Zhang, University of Nebraska-Lincoln

8:50 a.m.

Detection of Treatment Effects by Covariate-

Adjusted Expected Shortfall—◆Ya-Hui Hsu,

University of Illinois at Urbana-Champaign

; Xuming

He, University of Illinois at Urbana-Champaign

;

Mingxiu Hu, Millennium Pharmaceuticals/The

Takeda Oncology Company

9:05 a.m. How to Dig for DEGs—◆Lena Granovsky, Technion;

Paul D. Feigin, Technion–Israel Institute of

Technology

9:20 a.m. Combination of Levene-Type and Finite-Intersection

Tests for Homogeneity of Variances Against

Ordered Alternatives—◆Kimihiro Noguchi,

University of Waterloo

; Yulia R. Gel, University of Waterloo

9:35 a.m. Estimating Equations in Biased Sampling

Problems—◆Bin Zhang, University of Missouri;

Jianguo Sun, University of Missouri

; Jing Qin,

National Institute of Allergy and Infectious Diseases

9:50 a.m. Hippocampus Shape Analysis of Clinically

Depressed Twin Populations Using a Modified

Mann-Whitney-Wilcoxon Statistic—◆Nikhil Ram

Mohan, Johns Hopkins University ; Carey E. Priebe,

Johns Hopkins University ; Youngser Park, Johns

Hopkins University

; Majnu John, Weill Medical

College of Cornell University

10:05 a.m. A Program for Computing Probability Values for

Significance Tests Using Pearson Distributions—

Wei Pan, University of Cincinnati

; Haiyan Bai,

University of Central Florida

134 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

276

Semiparametric Models for Analyzing

Longitudinal Outcomes—Contributed

Biometrics Section

Chair(s): Joel A. Dubin, University of Waterloo

CC-204B

8:35 a.m. Robust Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood—◆Chunpeng

Fan, sanofi-aventis

; Donghui Zhang, sanofi-aventis;

Cun-Hui Zhang, Rutgers University

8:50 a.m. Semiparametric Analysis of Panel Count Data with

Correlated Observation and Follow-Up Times—

Xin He, The Ohio State University ; Xingwei Tong,

Beijing Normal University

; Jianguo Sun, University of Missouri

9:05 a.m. Covariate-Adjusted Linear Mixed Effects Model for

Longitudinal Data—◆Danh Nguyen, University of

California, Davis

9:20 a.m. Quantile Regression for Longitudinal Biomarker

Data Subject to Detection Limits—Lan Kong,

University of Pittsburgh

; ◆Minjae Lee, University of Pittsburgh

9:35 a.m. Robust Estimation in Multivariate Linear Mixed

Effects Models—◆Inna Chervoneva, Thomas

Jefferson University

10:05 a.m. Floor Discussion

277

Nonparametric Models II—Contributed

Biometrics Section

Chair(s): Angelo Elmi, University of Pennsylvania

CC-203A

9:35 a.m.

Covariate-Adjusted Correlation Analysis with

Application to FMR1 Premutation Female Carrier

Data—◆Damla Senturk, Penn State University;

Danh Nguyen, University of California, Davis

9:50 a.m. Analysis of Longitudinal Data Using Partial Linear

Models with Quadratic Inference Functions—

Wing K. Fung, The University of Hong Kong

10:05 a.m. A Parametric Permutation Test for Regression

278

Coefficients in LASSO Regularized Regression—

Michael Wu, Harvard University

; Tianxi Cai,

Harvard University

; Xihong Lin, Harvard School of Public Health n

Bayesian Semiparametric and

Nonparametrics—Contributed

Section on Bayesian Statistical Science

CC-207B

Chair(s): Qingzhao Yu, Louisiana State University Health

Sciences Center

8:35 a.m. Wavelet-Based Functional Mixed Models for

Transcriptome Analysis—◆Lieven Clement, Ghent

University ; Ciprian M. Crainiceanu, Johns Hopkins

University

; Kristof De Beuf, Ghent University; Olivier

Thas, Ghent University

; Rafael Irizarry, Johns

Hopkins University

8:50 a.m. Modeling Animal Mother-Infant Distance Proximity

Over Time to Determine a Change Point in

Behavior: When Does Animal Weaning Occur?—

Lorrie L. Hoffman, Armstrong Atlantic State

University ; Steve Clark, SeaWorld; Greg Knofczynski,

Armstrong Atlantic State University

; Jaree Hudson,

Armstrong Atlantic State University

; Heather King,

Armstrong Atlantic State University

; Alfreda Rogers,

Armstrong Atlantic State University

9:05 a.m. Weighted Likelihood Estimators for Finite Normal

Mixture Models—◆Tingting Zhan, Temple

University ; Inna Chervoneva, Thomas Jefferson

University ; Boris Iglewicz, Temple University

9:20 a.m. Semiparametric Cure Rate Models for Current

Status Data—◆Guoqing Diao, George

Mason University

8:35 a.m. A Note on the Bayes Factor in a Semiparametric

Regression Model—◆Taeryon Choi, Inha University;

Jaeyong Lee, Seoul National University

; Anindya Roy,

University of Maryland, Baltimore County

8:50 a.m. Bayesian Semiparametric Infinite Latent Variable

Models—◆Ju Hyun Park, National Cancer Institute;

David Dunson, Duke University

9:05 a.m. Bayesian Inference for Semiparametric Quantal

Response Equilibrium Models—◆Anton Westveld,

University of Nevada Las Vegas

; Kevin Quinn,

Harvard University

9:20 a.m. Hierachical Bayesian Nonparametric Approaches for Detecting Difference Boundaries in Disease

Maps—◆Pei Li, The University of Minnesota;

Sudipto Banerjee, The University of Minnesota

;

Tim Hanson, The University of Minnesota

;

Marshall A. McBean, The University of Minnesota

9:35 a.m.

Robust Nonparametric Bayesian Methods—

Juhee Lee, The Ohio State University

; Steven N.

MacEachern, The Ohio State University

9:50 a.m. Bayesian Estimation for Generalized Nonparametric

Single-Index Mixed Model—◆Jinsong Chen,

Virginia Polytechnic Institute and State University

;

Inyoung Kim, Virginia Polytechnic Institute and State

University ; George R. Terrell, Virginia Polytechnic

Institute and State University

10:05 a.m. Semiparametric Measurement Error Modeling in

Logistic Regression, with Application to Survey

Data—◆Jianjun Gan, University of South Carolina;

Hongmei Zhang, University of South Carolina

Washington, DC 135

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

279 CC-208B

Miscellaneous Methodology II—Contributed

IMS

Chair(s): Carrie Hosman, University of Michigan

280 CC-201

Statistical Issues Related to Safety Data—

Contributed

Biopharmaceutical Section, Section on Bayesian

Statistical Science

Chair(s): Chul H. Ahn, FDA

8:35 a.m. Quadratic Covariation Estimation with Noisy and Asynchronous Data—◆Dacheng Xiu,

Princeton University

8:50 a.m. Density Estimators for Invertible Linear Processes—

Wolfgang Wefelmeyer, University of Cologne

9:05 a.m. Semi-Logarithmic Loss-Based Estimation and

Its Related Distributions—◆Masato Kagihara,

Fukuoka University

9:20 a.m. On Variance Estimation for Tree Order Restricted

Models—◆Sanjay Chaudhuri, National University of Singapore ; Antar Bandyopadhyay, Indian

Statistical Institute

9:35 a.m. One Step Toward a Less Sensitive Statistic—

Anurag N. Banerjee, Durham University

9:50 a.m. Estimation of the Parameters of Two-Parameter

Exponential Distribution Using Top K-lists—

Mohamed Habibullah, Northeastern University

10:05 a.m. Orthogonal Series Density Estimation

Methodology—◆Serge B. Provost, The University of Western Ontario ; Min Jiang, The University of

Western Ontario

8:35 a.m.

Marking the Ends of T-Waves: Algorithms and

Experts—◆Yingchun Zhou, National Institute of

Statistical Sciences

; Nell Sedransk, National

Institute of Statistical Sciences

8:50 a.m. Diagnostics for Logistic Regression on AE Data—

Bo Jin, Merck Research Laboratories

9:05 a.m. Handling Missing Data in the Analysis of Exposure-

Adjusted Incidence Rates with Applications to

Safety Endpoints in Clinical Trials—◆Adeniyi J.

Adewale, Merck & Co., Inc.

; Adam B. Polis,

Merck & Co., Inc.

9:20 a.m. Validity and Utility of a Novel Method for Assessing

Benefit-Risk Tradeoff in Clinical Trials—◆Maksim

Pashkevich, Eli Lilly and Company

; Nathan Enas,

Eli Lilly and Company

9:35 a.m. A Bayesian Approach for Safety Monitoring in

Clincal Trials—◆Gang Jia, Merck & Co., Inc.;

Xiaoming Li, Merck Research Laboratories ; Xin Zhao,

Merck & Co., Inc.

136 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:50 a.m. Methods for Interval-Censored Safety Events

Based on Laboratory Data—◆Yan Zheng, sanofiaventis

; Meehyung Cho, sanofi-aventis; William

Stager, sanofi-aventis

; Gerard Derzko, sanofi-aventis;

Kaihong Jiang, sanofi-aventis

10:05 a.m. Single-Group Prospective Post-Marketing Safety

Studies: A Bayesian Approach—◆Yu-te Wu, FDA;

George Rochester, FDA

; Yi Tsong, FDA

10 Using the JMP Scripting Language to Teach Sampling and

Inference for the Proportion—

Amy G. Froelich, Iowa State University

283

Section on Statistical Education

Chair(s): William Duckworth, Creighton University

CC-Hall D

Contributed Oral Poster Presentations—

Contributed

Poster Presentations

8:30 a.m.–10:20 a.m.

281 CC-Hall D

Topic-Contributed Oral Poster Presentations:

History of Statistics—Topic-Contributed

Section on Statistical Education

Chair(s): Lara Schmidt, RAND Corporation

History of Statistics

01 Statisticians Speak Out—◆Frederick O. Lorenz, Iowa State

University

; David Rockoff, Iowa State University

02 The Impact of Henry Wallace on Statistics at Iowa State

University—◆Laura A. Hildreth, Iowa State University

03 George Waddell Snedecor—◆Dai-Trang Le,

Iowa State University

04 H. O. Hartley: His Views on Statistics and a Glimpse Into the Future—◆Kristian Schmidt, Iowa State University

05 The Life and Achievements of Oscar Kempthorne—

Karl T.L. Pazdernik, Iowa State University

06 Women Do Much More Than ‘Cooke’—◆Luvenia Hellams,

Iowa State University

282 CC-Hall D n

Topic-Contributed Oral Poster Presentations:

Technology Tools for Education—

Topic-Contributed

Section on Statistical Education

Organizer(s): Lara Schmidt, RAND Corporation

Chair(s): Lara Schmidt, RAND Corporation

Statistical education, teaching, and training

11 Determining the Sample Size for Estimating the

Standard Deviation—◆Kevin S. Robinson, Millersville

University of Pennsylvania

12 Student Self-Assessment of Competence: Accurate or

Important?—◆Joe H. Sullivan, Mississippi State University

13 R in the Classroom: Exploring the Sequential Probability

Ratio Test for Normal Data—◆Philip Wong, AAA NCNU;

Roanna Gee, California State University, East Bay

; Bruce E.

Trumbo, California State University, East Bay

14 Simplify Your Analyses of the Survey of Attitudes Toward

Statistics—◆Marjorie E. Bond, Monmouth College

15 Informal Inference: Scaling Student Sophistication—

S. David Kriska, The Ohio State University

; Mark C.

Fulcomer, University of Medicine and Dentistry of New

Jersey

; Marcia M. Sass, University of Medicine and

Dentistry of New Jersey

16 A Visual Model for Analysis of Variance—◆J. Burdeane

Orris, Butler University

17 Hands-On Learning Aid for Statistical Process Control and Capability Measures—◆James A. Alloway,

EMSQ Associates

18 T-Test for Proportions? Making Do When Your Software

Can’t Do Confidence Intervals for Proportions—◆Gerald

Shoultz, Grand Valley State University

19 Strat-O-Matic Baseball: An Introduction to Probability

Concepts—◆John Gabrosek, Grand Valley State University

20 Comparison of the Power of the Paired Samples Using

Permutation Tests—◆Ferry Butar Butar, Sam Houston State

University

; Ananda Manage, Sam Houston State University

21 Teaching Statistical Thinking as a Liberal Art with an Eye

Toward History: A Writing- and Discussion-Intensive New

Course—◆Kevin Henning, Texas Tech University

Statistical education, teaching, and training

07 Using a Script Language to Develop Interactive

Demonstrations—◆Mark Bailey, SAS Institute Inc.

08 Using the JMP Scripting Language to Teach Sampling and Inference for the Mean—◆William Duckworth,

Creighton University

09 Livening Up the Introductory Statistics Course with

Nontraditional Media Resources—◆Page C. Moore,

University of Arkansas for Medical Sciences

Computational statistics, numerical methods, simulation

22 Preliminary Variance Tests for Deciding to Use Pooled vs. Nonpooled t-Tests—◆Jared L. Martin, Millersville

University of Pennsylvania

; Lewis H. Shoemaker,

Millersville University of Pennsylvania

Longitudinal data, repeated measurements, and meta-analysis

23 Postdoctoral Plans vs. Outcomes of PhD Graduates in the Labor Market—◆Eric J. Solis, The George

Washington University

Washington, DC 137

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Linear models, GLMs, parametric methods

24 Fitting and Interpreting GLMs (the Saturated Model Isn’t

Perfect and Other Cautionary Tales)—◆Robert Kushler,

Oakland University

Statistical education, teaching, and training

25 Analogical Encoding of Statistics Problems: Role of

Self-Explanation and Feedback—◆Simin Hall, Virginia

Polytechnic Institute and State University

; Eric Vance,

Virginia Polytechnic Institute and State University

26 Relating Two Conceptualizations of the Arithmetic Mean—

Mark Marnich, Point Park University

35 Network Sampling for Assessing Excess Alcoholism and Drug Abuse Among Students in Nigerian Tertiary

Institutions—Rotimi Ogundeji, University of Lagos;

Ismaila Adeleke, University of Lagos ; Ray Okafor,

University of Lagos

; Edesiri Ahani, University of Lagos;

Ugochukwu Mbata, University of Lagos

; Adegbenga

Olalude, University of Lagos

Incomplete data analysis, imputation methods

36 Imputation Methods for Adaptive Matrix Sampling—

Jeffrey Gonzalez, Bureau of Labor Statistics

; John L.

Eltinge, Bureau of Labor Statistics

Engineering and physical sciences, chemometrics

27 Statistical Modeling: A More Acceptable Approach—

Reza D. Noubary, Bloomsburg University

284

Section on Survey Research Methods

Chair(s): Lara Schmidt, RAND Corporation

CC-Hall D

Contributed Oral Poster Presentations—

Contributed

Applications and case studies

37 Testing Hardy-Weinberg Equilibrium Using Family

Data from Complex Surveys—◆Dewei She, The George

Washington University

; Hong Zhang, University of

Science and Technology of China

; Zhaohai Li, The

George Washington University

Statistical education, teaching, and training

28 Classroom Simulation: Investigation of the Asymptotic

Distribution of the Sample Median—◆Vadim Y. Bichutskiy,

California State University, East Bay ; Joshua Kerr, California

State University, East Bay

; Bruce E. Trumbo, California State

University, East Bay

29 Students’ Perceptions of Variability Across Different Types of Graphs—◆Felice S. Shore, Towson University; Linda L.

Cooper, Towson University

Categorical, multivariate analysis

30 Using Assessment Data in Multivariate Statistics

Courses—◆Julia A. Norton, California State University,

East Bay

; Lynn Eudey, California State University, East Bay;

Monica Anand, California State University, East Bay

Government statistics

38 Pretesting with Populations Experiencing Transience:

Testing to Ensure Questionnaires Are Broadly

Accessible—◆Jennifer H. Childs, U.S. Census Bureau;

Nathan Jurgenson, U.S. Census Bureau ; Dawn R. Norris,

U.S. Census Bureau

39 One-Time Contact for a Census Internet Survey: Is

It Sufficient? Washington State Professional Health

Worker Census Internet Mode Effect and Response Rate

Study—◆Danna L. Moore, Washington State University;

Bruce Austin, Washington State University

; Kent Miller,

Washington State University

Statistical education, teaching, and training

31 Exploration of Dimensionality of the CAOS Test—◆Ji Hoon

Ryoo, The University of Minnesota

Sampling and survey methodology

40 Are ‘Do Not Include’ Statements Helpful?—◆Monica

Dashen, Bureau of Labor Statistics

Graphics, visualization

41 Visualization of Complex Survey Data—◆Edward Mulrow,

NORC at the University of Chicago ; Susan Hinkins, NORC at the University of Chicago ; Fritz Scheuren, NORC at the

University of Chicago

Sampling and survey methodology

32 Why Is Survey Research 20 Years Behind?—◆Robert E.

Fay, Westat, Inc.

33 Optimizing Call Time of Day in an RDD Survey—

S. Sean Hu, CDC ; Lina Balluz, CDC; Willaim Garvin,

CDC ; Mohamed Qayad, CDC

Health policy, epidemiology, public health

42 Assessing Variability in Life-Table Estimates Based on

Longitudinal Data Involving a Complex Survey—◆Van L.

Parsons, National Center for Health Statistics

; Nathaniel

Schenker, National Center for Health Statistics

; Kimberly

Lochner, National Center for Health Statistics ; Gloria

Wheatcroft, National Center for Health Statistics ; Elsie R.

Pamuk, National Center for Health Statistics

Social and behavioral science

34 Using Sample Statistics to Quantify Community Building—

Bart Phillips, Community Building Tutors, NFP

Sampling and survey methodology

43 Model-Based Methods in Analyzing Complex Survey

Data: A Case Study with National Health Interview Survey

Data—◆Rong Wei, National Center for Health Statistics;

Van L. Parsons, National Center for Health Statistics

138 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

44 Estimating the Variance of Between-Year Change in

Domain-Level Totals—◆Kimberly Henry, IRS; Valerie

Testa, IRS ; Richard Valliant, University of Michigan

56 A Noninformative Bayesian Approach to Small-Area

Estimation—Glen Meeden, The University of Minnesota;

Yanping Qu, The University of Minnesota ; Bo Zhang,

The University of Minnesota

Mathematical statistics, distribution theory, robust statistics

45 Characteristic Function for and Moments of the Truncated

Triangular Distribution—◆Jay J. Kim, National Center for

Health Statistics

; Myron J. Katzoff, National Center for

Health Statistics

; Rahul A. Parsa, Drake University

Social and behavioral science

57 Latent Structure Models for Social Networks Using

Aggregated Relational Data—◆Tian Zheng, Columbia

University

; Tyler H. McCormick, Columbia University

Sampling and survey methodology

46 Developing models of respondent fatigue to guide the order in which to ask survey questions—◆Brian L.

Egleston, Fox Chase Cancer Center

47 Nonresponse Bias: Telephone Point-of-Purchase Survey—

Madeleine Saxton, Bureau of Labor Statistics

; Patrick

Falwell, Bureau of Labor Statistics

48 Alphabetical Placement in Surveys of Persons at

Institutions: A Simulation Study—Pedro J. Saavedra, ICF

Macro

; ◆Francine Barrington, ICF Macro

49 A Weighting Methodology for Complex Surveys—◆Vicki J.

Pineau, TNS-Global

; Margaret E. Strickland, TNS Global; N.

D. Prabhakar, TNS Global

; Carl T. Finkbeiner, TNS Global

Sampling and survey methodology

58 Developing the Dual Frame Design for the 2010

National Survey of College Graduates—◆John M.

Finamore, U.S. Census Bureau

; David W. Hall, U.S. Census

Bureau

; Stephen Cohen, National Science Foundation; Fan

Zhang, National Science Foundation ; Flora Lan, National

Science Foundation

; Donsig Jang, Mathematica Policy

Research, Inc.

59 Missing Data and Complex Samples: The Impact of

Listwise Deletion vs. Subpopulation Analysis on Statistical

Bias and Hypothesis Test Results When Data Are MCAR and MAR—◆Bethany A. Bell, University of South Carolina;

Jeffrey D. Kromrey, University of South Florida

; John M.

Ferron, University of South Florida

Incomplete data analysis, imputation methods

50 Reproducing Nonresponse Adjustments in Replicate

Weights—Pedro J. Saavedra, ICF Macro; ◆R. Lee Harding,

Macro International, Inc.

Applications and case studies

60 A Comparison of Address-Based Sampling and Random

Digit Dialing Sampling—◆Daniel E. Williams, Western

Wats

; Edward P. Johnson, Opinion Outpost

Sampling and survey methodology

51 On the Construction of Bootstrap Confidence Intervals

Under Purposive Sampling—Ray Okafor, University of Lagos ; Ismaila Adeleke, University of Lagos; Dallah

Hamadu, University of Lagos ; ◆Rotimi Ogundeji,

University of Lagos

52 Bayes Model for Inference on Vehicular Traffic Density at the Main Campus of University of Lagos—◆Ray Okafor,

University of Lagos

; A. I. Opara, University of Lagos;

Rotimi Ogundeji, University of Lagos

; Ugochukwu Mbata,

University of Lagos

53 A Survey of Retail Outlets: Sample Design Issues—

Karol Krotki, RTI International

Sampling and survey methodology

61 Assessing Survey Estimates of Intent to Leave with

Personnel Data—◆Taylor Lewis, Office of Personnel

Management

; Mary Clair Turner, Office of Personnel

Management

; Eulus Moore, Office of Personnel

Management

; Bob Heim, Office of Personnel Management

Longitudinal data, repeated measurements, and meta-analysis

62 Model Selection in Linear Mixed Effects Models—

Ying Lu, University of Colorado at Boulder ; Heng Peng,

The Hong Kong Baptist University

Longitudinal data, repeated measurements, and meta-analysis

54 A Longitudinal Establishment Survey: Design and

Estimation Issues—Karol Krotki, RTI International;

Chris Cummiskey, RTI International

Sampling and survey methodology

63 Translation of Agreement Answer Scales: Effects on

Category Response Curves—◆Ana Villar, University of

Nebraska Lincoln

; Mario Callegaro, Knowledge Networks

Sampling and survey methodology

55 Sequential Modeling for Contact and Cooperation

Propensity for the United States Military Health

Survey—◆Darryl V. Creel, RTI International;

Vincent G. Iannacchione, RTI International

Incomplete data analysis, imputation methods

64 Assessing the Convergence of Multiple Imputation

Algorithms Using a Sequence of Regression Models—

Jian Zhu, University of Michigan

; Trivellore E.

Raghunathan, University of Michigan

Washington, DC 139

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Sampling and survey methodology

65 Combining Nonoverlapping Confidential Data Through

Multiple Imputation—◆Christine Kohnen, Macalester

College

; Jerry Reiter, Duke University

Categorical, multivariate analysis

75 Testing the Equality of Conditional Correlations Across

Numeric Variable(s) with Heteroscedastic Data—◆Xueya

Cai, Indiana University Purdue University Indianapolis

;

Gregory E. Wilding, SUNY at Buffalo

; Alan Hutson, SUNY at Buffalo ; Yue Li, University of California, Irvine

Longitudinal data, repeated measurements, and meta-analysis

66 Optimal Probability Weighting Methods in Longitudinal

Models for Data with Nonignorable Unequal Selection and

Nonignorable Wave Nonresponse—◆Sharon L. Christ, The

University of North Carolina at Chapel Hill

Health policy, epidemiology, public health

76 Reliability of the Orientation of Social Support Instrument in Substance Abuse Treatment—◆Michael Wolf-Branigin,

George Mason University

; Mark Taylor,

Sampling and survey methodology

67 Sampling Weights for Analysis of Couple Data in

Demographic and Health Surveys—◆Bryan Sayer,

Social & Scientific Systems, Inc.

; Stan Becker, Johns

Hopkins University

68 Issues Associated with Measuring Activities Associated with Seeing and Hearing Across National Surveys—

Frances M. Chevarley, Agency for Healthcare Research and Quality

; David W. Keer, U.S. Department of Education;

Barbara M. Altman, Consultant

69 Effectiveness of Nesting Age, Race, and Gender for

Weighting Estimates of Radio Listening—◆Kelly Dixon,

Arbitron, Inc.

70 Analysis of Data from Complex Survey Samples:

Propensity Scores and Survey Weights—◆Weiwei Cui,

National Institute of Statistical Sciences

; Nan Liu,

Child Trends, Inc.

Incomplete data analysis, imputation methods

77 A Comparison of Imputation Methods for Missing Data in Self-Report Likert Ratings—◆Lingqi Tang, University of California, Los Angeles

; Thomas R. Belin, University of

California, Los Angeles

; Judy Ho, University of California,

Los Angeles

; Bonnie Zima, University of California,

Los Angeles

Health policy, epidemiology, public health

78 A Stochastic and State Space Model for Human Eye

Cancer Involving Both Hereditary and Non-Hereditary

Cancer Genes—◆Hong Zhou, Arkansas State University;

Wai-Yuan Tan, University of Memphis

79 Hospital Mortality Rates analyzed through Empirical

Mode Decomposition Method.—◆Boguslaw Skierczynski,

Ascension Health

; David Pryor, Ascension Health; Ann

Hendrich, Ascension Health

Incomplete data analysis, imputation methods

71 Hot-Deck Imputation Using Imputation Models—

Minhui Paik, Iowa State University

Sampling and survey methodology

72 Confidence Intervals for Radio Ratings Estimators—

Richard Griffiths, Arbitron, Inc.

Linear models, GLMs, parametric methods

80 Clustering to Achieve Normality in Generalized Linear

Mixed Models—◆Kenneth Pietz, Michael E. DeBakey

VA Medical Center

; LeChauncy D. Woodard, Michael E.

DeBakey VA Medical Center ; Tracy Urech, Michael E.

DeBakey VA Medical Center

; Cassie Robinson, Michael

E. DeBakey VA Medical Center

; Laura A. Petersen, Baylor

College of Medicine

285 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

Section on Health Policy Statistics

Chair(s): Lara Schmidt, RAND Corporation

Health policy, epidemiology, public health

81 Examination of Risk Factor and Health Condition Data in National Consumer Surveys for Use in Public Health

Communication Planning—◆William E. Pollard, CDC;

DeAndrea Martinez, CDC

82 Who Donates Blood?—◆Richard A. Forshee, FDA;

Mark O. Walderhaug, FDA

Health policy, epidemiology, public health

73 Peer Group Assignment for New Hospitals on

Performance Comparison Report by Traditional and

Modern Classification Methods—◆Jacob Jen-Hao Cheng,

Maryland Hospital Association ; Samuel Ogunbo, Maryland

Hospital Association

74 Diabetes as a Potentially Disabling Condition: Studying

Supports to Prevent Unemployment, Health Decline, and

Reliance on Government Assistance—◆Tammy Tom,

University of Hawaii

Longitudinal data, repeated measurements, and meta-analysis

83 Meta-Analytic Inference with Few Studies—◆Todd Bodner,

Portland State University

Health policy, epidemiology, public health

84 Union Effects on Health Insurance Coverage—◆Jongmook

Choe, The University of Texas at Austin

140 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

85 Estimating Household Income Percentiles from a Public

Health Survey Using Log-Linear Bootstrap Interpolation—

Robert Feyerharm, Oklahoma State Department of Health

286 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

Section on Nonparametric Statistics

Chair(s): Lara Schmidt, RAND Corporation

Spatial statistics, spatio-temporal modeling, GIS

86 Sample Size Requirement and Power Assessment in a

Spatial Analysis—◆Qilong Yi, University of Ottawa; Yue

Chen, University of Ottawa

Health policy, epidemiology, public health

87 Clustering Performance Data Across Measure Sets: An

Analysis of National Hospital Quality Measures Designated for the CMS Value-Based Purchasing Program—◆Samuel

Ogunbo, Maryland Hospital Association

; Nikolas Matthes,

Quality Indicator Project

; Jacob Jen-Hao Cheng, Maryland

Hospital Association ; Carlos Alzola, Data Insights

Sampling and survey methodology

88 Development of a Quantitative Attitudes Instrument—

Heibatollah Baghi, George Mason University

Semiparametric and nonparametric methods

93 Multivariate Information and Interaction—◆Nan L. Kong,

Educational Testing Service

94 Confidence Bands for the CDF When Sampling from a

Finite Population—◆Jesse Frey, Villanova University

95 A Modified Mantel Test for the Compound Symmetry

Covariance Structure—◆Megan Duke, University of Central

Oklahoma ; Tracy Morris, University of Central Oklahoma;

Mark E. Payton, Oklahoma State University

96 Smoothing Spline with Incomplete Covariate Data—

Xiwen Ma, University of Wisconsin-Madison

97 Simultaneous Confidence Bands for the Trend in a

Functional Data Set—◆David Degras, The University of Chicago

Health policy, epidemiology, public health

89 Predicting Wound Deterioration in Home Health Care

Patients—◆Iordan Slavov, Visiting Nurse Service of New

York

; Carlin Brickner, Visiting Nurse Service of New York

90 Association Between Health Insurance and Generalized

Periodontal Disease in a Study Population of Gullah

African Americans with Diabetes—◆Nicole M. Marlow,

Medical University of South Carolina

; Elizabeth Slate,

Medical University of South Carolina

; Jyotika Fernandes,

Medical University of South Carolina

; Carlos Salinas,

Medical University of South Carolina

91 Physician-Level Quality Measurement: Using Control

Charts with National Benchmarks to Identify Common and Special Cause Variation in Patients’ Systolic Blood

Pressures—◆Gerald K. Arnold, American Board of Internal

Medicine

; Rebecca S. Lipner, American Board of Internal

Medicine

; Lorna A. Lynn, American Board of Internal

Medicine

; Weifeng Weng, American Board of Internal

Medicine ; Eric S. Holmboe, American Board of

Internal Medicine

92 CMS Medicare Reimbursement for Quality Care:

Will There Be an Unintended Downward Spiral for

Safety Net Hospitals?—◆Ronald Low, New York City

Health and Hospitals Corporation

; Shunsuke Ito, New

York City Health and Hospitals Corporation

; Jiaying Wu,

New York City Health and Hospitals Corporation

; Caroline

Jacobs, New York City Health and Hospitals Corporation ;

Raymond Gregory, New York City Health and Hospitals

Corporation

; Van Dunn, New York City Health and

Hospitals Corporation

; Ramanathan Raju, New York City

Health and Hospitals Corporation

Bayesian statistics, hierarchical models

98 Hyper Dirichlet Processes for Graphical Models—◆Daniel

Heinz, Carnegie Mellon University

Applications and case studies

99 Applications of Spectral Kernel Methods—◆James

Sharpnack, Carnegie Mellon University

Clinical Trial Designs

100 Rank Transforms and Tests of Interaction for Repeated

Measures Experiments with Various Covariance

Structures—◆Jennifer Bryan, Oklahoma Christian

University

; Mark E. Payton, Oklahoma State University

Bayesian statistics, hierarchical models

101 A Classification Algorithm for Finite Mixture Model—

Erum Marfani, University of Maryland, Baltimore County

Linear models, GLMs, parametric methods

102 Detection of Interactions in Model Building: A Graphical

Approach—◆William C. Bridges, Clemson University

Washington, DC 141

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

287 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

Section on Teaching of Statistics in the Health Sciences

Chair(s): Lara Schmidt, RAND Corporation

Computational statistics, numerical methods, simulation

103 Bias-Corrected Estimation for Intraclass Correlation

Coefficient—◆Eshetu G. Atenafu, Hospital for Sick

Children

; Joseph Beyene, University of Toronto; Jemila S.

Hamid, Hospital for Sick Children

Invited Sessions

10:30 a.m.–12:20 p.m.

289 n

Nonparametric Approaches for

High-Dimensional Data—Invited

CC-201

Biometrics Section, International Chinese Statistical Association,

Biopharmaceutical Section

Organizer(s): Annie Qu, University of Illinois at Urbana Champaign

Chair(s): Annie Qu, University of Illinois at Urbana Champaign

Statistical education, teaching, and training

104 Sequencing and Mastering Preliminary Topics in Teaching

Sampling Distributions—◆Mark C. Fulcomer, University of Medicine and Dentistry of New Jersey ; S. David Kriska,

The Ohio State University

; Marcia M. Sass, University of

Medicine and Dentistry of New Jersey

; Maritza Jauregui,

The Richard Stockton College of New Jersey

10:35 a.m.

Smoothing Spline Semiparametric Nonlinear

Regression Models—◆Yuedong Wang, University of

California, Santa Barbara

; Chunlei Ke, Amgen, Inc.

11:05 a.m. Modeling the Dynamics of Gene Regulatory

Network—◆Ping Ma, University of Illinois at

Urbana-Champaign

11:35 a.m. Asymptotic Normality of Plug-In Level Set

Estimates with Applications to Binary

Classification—◆Wolfgang Polonik, University of California, Davis

12:05 p.m.

Floor Discussion

Special Presentation

10:30 a.m.–12:20 p.m.

288

ASA College Stat Bowl II—Other

CC-102B

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Stephanie Cano, The University of Texas at

San Antonio

Chair(s): Stephanie Cano, The University of Texas at San Antonio

290 CC-150B n

Stirring the Pot: Radical Ideas in Statistics

Education—Invited

Section on Statistical Education

Organizer(s): Peter Westfall, Texas Tech University

Chair(s): Lorrie L. Hoffman, Armstrong Atlantic State University

10:35 a.m.

Losing the Distinction: From Traditional to Online to Hybrid Instruction—◆David Zeitler, Grand Valley

State University

11:00 a.m.

Change Agents for Teaching and Learning

Statistics: The CATALST Project—◆Andrew Zieffler,

The University of Minnesota

Washington, DC 143

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:25 a.m. All Models are Right … Most Are Useless—

Thaddeus Tarpey, Wright State University

11:50 a.m. Fostering Statistics TA Development as Writing

Instructors—◆Erin Blankenship, University of

Nebraska-Lincoln

; Walter Stroup, University of

Nebraska-Lincoln

; Jennifer Green, University of

Nebraska-Lincoln

; Alison Friedow, University of

Nebraska-Lincoln

; Shari Stenberg, University of

Nebraska-Lincoln

12:15 p.m. Floor Discussion

11:25 a.m.

Random Effect Specification/Misspecification in

Spatial Modeling of Univariate and Multivariate

Health Data—◆Ying MacNab, The University of

British Columbia

11:50 a.m. Spatial Random Effects to Assess Geographic

Influences on Genetic Population Structure—

Lance A. Waller, Emory University

; David C.

Wheeler, National Cancer Institute/Harvard School of Public Health ; Roman Biek, University of Glasgow;

Leslie A. Real, Emory University

12:15 p.m. Floor Discussion

291 CC-150A

J

Emerging Trends and Evidence in High-

Dimensional ‘Omics’ Investigations—Invited

Council of Chapters

Organizer(s): Gary L. Gadbury, Kansas State University

Chair(s): Gary L. Gadbury, Kansas State University

293 CC-144B n J

Social Network Analysis: Bridging Evidence and Policy in Complex Environments—Invited

Social Statistics Section, Section on Statistical Graphics, Section on Government Statistics, Interface Foundation of North America

Organizer(s): Jeffrey L. Herman, George Mason University

Chair(s): Jeffrey L. Herman, George Mason University

10:35 a.m. Biostatistics’ Rise as an Empirical Science:

Genomic Research as the Leavening Agent—

David B. Allison, The University of Alabama at Birmingham

11:00 a.m. The Role of Permutation and Randomization Tests in High-Dimensional Studies—◆Dan Nettleton,

Iowa State University

11:25 a.m. Inferring Causal Effects in High-Dimensional

Studies—◆Mark J. van der Laan, University of

California, Berkeley

11:50 a.m. Disc: Heping Zhang, Yale University

12:10 p.m. Floor Discussion

10:35 a.m.

Utilizing External Information in Social Networks—

David Marchette, Naval Surface Warfare Center

11:00 a.m. The Use of Social Network Analysis in Support of

Federal Agencies—◆Elizabeth A. Conjar, George

Mason University

; Dan Horn, Booz Allen Hamilton

11:25 a.m. Influence and Implications of Leadership Style on Social Networks—◆Juliet Aiken, University of

Maryland

; Beng-Chong Lim, Nanyang Technological

University ; Paul Hanges, University of Maryland

11:50 a.m. Disc: Stanley Wasserman, Indiana University

12:10 p.m. Floor Discussion

292 CC-209C n

Random Effect Specification/Misspecification in Spatial/Spatio-Temporal Health Modeling—

Invited

Section on Statistics and the Environment, Section on Bayesian

Statistical Science, SSC

Organizer(s): Andrew B. Lawson, Medical University of South

Carolina

Chair(s): Brian J. Reich, North Carolina State University

294 CC-202A n J

Communicating Statistical Concepts to a

Lay Audience—Invited

Committee on Excellence in Statistical Reporting, Social Statistics

Section, Section on Government Statistics

Organizer(s): Telba Irony, FDA

Chair(s): Telba Irony, FDA

10:35 a.m.

Adding Spatially Correlated Errors Can Mess Up the Fixed Effect You Love—◆James Hodges, The

University of Minnesota

; Brian J. Reich, North

Carolina State University

11:00 a.m. Random Effect Seepage and Identification

Problems in Bayesian Spatial Health Data

Modeling—◆Andrew B. Lawson, Medical University of South Carolina ; Sumirathan Rasathurai, University of South Carolina

10:35 a.m.

Presentation and Interpretation of Statistical Results to Track Economic Developments—◆John Berry,

Bloomberg News

11:05 a.m. Statistical Issues in ‘The New York Times’—

Donald A. Berry, The University of Texas M.D.

Anderson Cancer Center

; Gina Kolata, The New

York Times

11:35 a.m. The Prosecutor’s Fallacy—◆Mark Buchanan,

Independent Science Writer

12:05 p.m. Floor Discussion

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

295 CC-202B

J

Causal Inference for Longitudinal Data—

Invited

ENAR, Section on Bayesian Statistical Science, International

Indian Statistical Association, Biometrics Section,

Biopharmaceutical Section

Organizer(s): Tyler VanderWeele, The University of Chicago

Chair(s): Tyler VanderWeele, The University of Chicago

10:35 a.m.

Causal Inference for Continuous Time Longitudinal

Data When Covariates Are Observed Only at

Discrete Times—◆Dylan Small, University of

Pennsylvania

; Mingyuan Zhang, University of

Pennsylvania

; Marshall Joffe, University of Pennsylvania

11:00 a.m. Estimation of Marginal Structural Models When

Parametric Rates Cannot Be Obtained—

James Robins, Harvard School of Public Health

11:25 a.m. Bayesian Inference About Mediation in Longitudinal

Intervention Trials—◆Joseph W. Hogan, Brown

University

; Shira Dunsiger, Brown University;

Bess Marcus, Brown University

11:50 a.m. Disc: Constantine Frangakis, Johns Hopkins

University

12:10 p.m.

Floor Discussion

297 CC-143A

J

Composite Likelihood Methodology and

Applications—Invited

SSC, International Indian Statistical Association

Organizer(s): Peter X.K. Song, University of Michigan

Chair(s): Xin Gao, York University

10:35 a.m.

Composite Likelihood Theory—◆Nancy Reid,

University of Toronto

11:00 a.m. Composite Likelihood EM Algorithm in High-

Dimensional Data Analysis—◆Peter X.K. Song,

University of Michigan

11:25 a.m. Pairwise Likelihood Method for Clustered

Longitudinal Binary Data—Grace Yi, University of

Waterloo ; ◆Leilei Zeng, Simon Fraser University;

Richard Cook, University of Waterloo

11:50 a.m. Disc: Grace Yi, University of Waterloo

12:10 p.m. Floor Discussion

298

Topics in Financial Statistics—Invited

IMS

Organizer(s): Rong Chen, Rutgers University

Chair(s): Rong Chen, Rutgers University

CC-207B

296 CC-207A

J

New Applications of Statistics in Genetics/

Genomics—Invited

IMS, Section on Bayesian Statistical Science,

Biopharmaceutical Section

Organizer(s): Wei Pan, The University of Minnesota

Chair(s): Wei Pan, The University of Minnesota

10:35 a.m.

Risk Assessment and Asset Allocation with

Gross Exposure Constraints for Vast Portfolios—

Jianqing Fan, Princeton University

; Jingjin Zhang,

Princeton University

; Ke Yu, Princeton University

11:05 a.m. Topics in Financial Statistics—◆Ruey S. Tsay,

The University of Chicago

; Jianqing Fan, Princeton

University

; Yingying Fan, University of

Southern California

10:35 a.m.

Spectral Graph Theory and Ancestry in Genome-

Wide Association Studies—◆Kathryn Roeder,

Carnegie Mellon University

; Ann Lee, Carnegie

Mellon University

; Diana Luca, Carnegie

Mellon University

11:05 a.m. Modeling Dependent Gene Expression—◆Peter

Müller, The University of Texas M.D. Anderson

Cancer Center ; Donatello Telesca, The University of Texas M.D. Anderson Cancer Center

; Giovanni

Parmigiani, Johns Hopkins University

11:35 a.m.

Methods for Identifying the Genetic Variants

Associated with High-Order Expression Modules—

Hongzhe Li, University of Pennsylvania

12:05 p.m. Floor Discussion

at the Walter E. Washington

Convention Center

Saturday, 12:00 p.m. – 5:30 p.m.

Sunday–Wednesday, 9:00 a.m. – 5:30 p.m.

Thursday, 7:30 a.m. – 10:00 a.m.

Washington, DC 145

P

ASA

A

wards

Tuesday, August 4, 8:00 p.m. – 9:30 p.m.

Walter E. Washington Convention Center,

Ballrooms A and B

Sally Morton

ASA President

Is your associate, professor, student, colleague, friend, or organization being recognized at the Joint Statistical Meetings in Washington, DC?

Samuel S.

Wilks

Memorial

Award

Edward C.

Bryant

Scholarship

Gertrude M.

Cox

Scholarship

Gottfried E. Noether

Awards

W. J. Youden

Award in Lab

Testing

H

Statistics in Chemistry Award

H

ASA Fellows

H

Founders Award

H

Outstanding Statistical Application Award

H

Statistical Partnerships among Academe, Industry, and Government (SPAIG) Award

H

Waller Education Award

H

W. J. Dixon Award for Excellence in Statistical Consulting

Plan to attend the ASA Presidential Address and Awards Session for the recognition of the

ASA’s most distinguished members.

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:35 a.m. Testing and Detecting Jumps Based on a Discretely

Observed Process—◆Yingying Fan, University of Southern California

; Jianqing Fan,

Princeton University

12:05 p.m. Floor Discussion

Topic-Contributed Sessions

10:30 a.m.–12:20 p.m.

301

Survey Frame Quality and Coverage—

Topic-Contributed

Section on Survey Research Methods

Organizer(s): Xijian Liu Liu, U.S. Census Bureau

Chair(s): James Farber, U.S. Census Bureau

CC-142

299 CC-158A

Making Research Data Public: Intelligible or Just

Available?—Invited

Section on Statistical Consulting, National Institute of Statistical

Sciences, Social Statistics Section, Section on Government

Statistics

Organizer(s): Linda J. Young, University of Florida

Chair(s): Alan F. Karr, National Institute of Statistical Sciences

10:35 a.m.

Data-Sharing in the Field of Economics and the

Role of Academic Journals—◆P.J. Glandon,

Vanderbilt University ; John Siegfried,

Vanderbilt University

10:55 a.m. Data Management and Availability in the Earth

Sciences—◆Richard W. Carlson, Carnegie

Institution of Washington

11:15 a.m. Implicit Challenges to Statistics in Making Research

Data Public—◆Nell Sedransk, National Institute of

Statistical Sciences

11:35 a.m. Data Sharing from the Viewpoint of a Scholarly

Journal—◆Katrina Kelner, AAAS

11:55 a.m. Data Sharing in Forensic Science and the Impact on the Legal System—◆Edward Ungvarsky, The Public

Defender Service for the District of Columbia

12:15 p.m. Floor Discussion

10:35 a.m. A National Evaluation of Coverage for a Sampling

Frame Based on the Master Address File—

Clifford Loudermilk, U.S. Census Bureau

10:55 a.m. Content and Coverage Quality of a Commercial

Address List as a National Sampling Frame for

Household Surveys—◆Timothy Kennel, U.S. Census

Bureau ; Mei Li, U.S. Census Bureau

11:15 a.m.

Examining Blocks with Lister Error in Area Listing—

Aliza Kwiat, U.S. Census Bureau

11:35 a.m.

Impact of Master Address File Coverage on Survey

Estimates—◆Xijian Liu Liu, U.S. Census Bureau

11:55 a.m. Disc: Vincent G. Iannacchione, RTI International

12:15 p.m. Floor Discussion

302

Organizer(s): Bani K. Mallick, Texas A&M University

Chair(s): Bani K. Mallick, Texas A&M University

CC-149A n J

Frontiers in Statistical Applications to

Marketing Problems—Topic-Contributed

Section on Statistics and Marketing

Invited Panels 10:30 a.m.–12:20 p.m.

300 n J

The Role of Statisticians in

Decisionmaking—Invited

The American Statistician, Social Statistics Section

Organizer(s): John Stufken, The University of Georgia

Chair(s): John Stufken, The University of Georgia

Panelists:

Stephen Pierson, ASA

Simon Sheather, Texas A&M University

Frank Rockhold, GlaxoSmithKline

Guy F. Caruso, Center for Strategic and

International Studies

12:15 p.m. Floor Discussion

CC-101

10:35 a.m. Attitudes Toward Firm and Competition: How Do

They Matter for Customer Relationship Marketing

Activities?—◆Rajkumar Venkatesan, University of

Virginia

; Reinartz Werner, University of Cologne;

Nalini Ravishanker, University of Connecticut

10:55 a.m. Model-Based Graph Partitioning with Applications to Marketing—◆Eric T. Bradlow, The Wharton

School ; Sam K. Hui, Leonard N. Stern School of Business

11:15 a.m. Investigating Cross-Country Interaction in New

Product Diffusion—◆Debabrata (Debu) Talukdar,

State University of New York at Buffalo

; Brian

Hartman, Texas A&M University

; Bani K. Mallick,

Texas A&M University

11:35 a.m. Cross-Channel and Advertising Effects in the

Hierarchy of Consumer Decisionmaking—

Venkatesh Shankar, Texas A&M University

;

Tarun Kushwaha, The University of North

Carolina at Chapel Hill

Washington, DC 147

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:55 a.m. Beating the Average with Conditional Averages:

Target Selection Using Geo-Demographic

Joint Distributions—◆K. Sudhir, Yale School of

Management

; Jason Duan, The University of Texas at

Austin

; Sachin Sancheti, Yale School of Management

12:15 p.m. Floor Discussion

11:15 a.m.

Sparse Bayes Learning by Annealing Entropy—

Ryo Yoshida, Institute of Statistical Mathematics

;

Mike West, Duke University

11:35 a.m.

On the Primal and Dual Sparsity of Structured

Input/Output Models—◆Eric Xing, Carnegie

Mellon University

11:55 a.m. Bayes and Empirical-Bayes Multiplicity Adjustment in the Variable-Selection Problem—◆James Scott,

Duke University

12:15 p.m.

Floor Discussion

303

Forecasting and Real-Time Data—

Topic-Contributed

Business and Economic Statistics Section

CC-158B

Organizer(s): Tatevik Sekhposyan, The University of North Carolina at Chapel Hill

Chair(s): Silvia Goncalves, University of Montreal

305 n

Predictive and Prequential Statistics—

Topic-Contributed

Section on Risk Analysis

CC-148

Organizer(s): Bertrand Clarke, The University of British Columbia/

University of Miami

Chair(s): Bertrand Clarke, The University of British Columbia/

University of Miami

10:35 a.m. Revisions to PCE Inflation Measures: Implications for Monetary Policy—◆Dean Croushore, University of Richmond

10:55 a.m. Has Models’ Forecasting Performance for US

Output Growth and Inflation Changed Over Time, and When?—◆Tatevik Sekhposyan, The University of North Carolina at Chapel Hill

; Barbara Rossi,

Duke University

11:15 a.m. Calibration and Resolution Diagnostics for Bank of

England Density Forecasts—◆Simon van Norden,

HEC Montréal

; John W. Galbraith, McGill University

11:35 a.m. Nested Forecast Model Comparisons: A New

Approach to Testing Equal Accuracy—◆Michael

McCracken, Federal Reserve Bank of Saint Louis

11:55 a.m. Why Do So Few Macroeconomic News

Announcements Have a Significant Price Impact on Asset Prices?—◆Chiara Scotti, Federal Reserve

Board ; Thomas Gilbert, University of Washington;

Georg Strasser, Boston College

; Clara Vega, Federal

Reserve Board

12:15 p.m. Floor Discussion

10:35 a.m. Prequential Probability: An Overview—◆Vladimir

Vovk, Royal Holloway, University of London

10:55 a.m. Catching Up Faster by Switching Sooner: A

Prequential Solution to the AIC-BIC Dilemma—

Tim van Erven, Centrum Wiskunde & Informatica

11:15 a.m. Sequential Prediction Using Median Stacking—

Chi Wai Yu, The University of British Columbia

11:35 a.m. Statistical Expression Deconvolution from Mixed

Tissue Samples and Relevance to Biomarker

Discovery—◆Jennifer L. Clarke, University of

Miami ; Marc E. Lippman, University of Miami;

J. Seo, University of Miami

11:55 a.m. Selection of Copy Number Variation Drives

Tumor-Specific Networks—◆Eric Schadt,

Rosetta Inpharmatics

12:15 p.m. Floor Discussion

304 n

Sparsity and Structure in Multivariate

Modeling—Topic-Contributed

CC-208B

Section on Bayesian Statistical Science

Organizer(s): Mike West, Duke University

Chair(s): Adrian Dobra, University of Washington

306 CC-159B n

Experimental Design for Generalized Linear

Models—Topic-Contributed

Section on Physical and Engineering Sciences, Section on

Quality and Productivity

Organizer(s): Anthony Atkinson, London School of Economics

Chair(s): Anthony Atkinson, London School of Economics

10:35 a.m. Identifying Repeated Observations in the Presence of Sparsity and Distortion: A Case Study in

Proteomics—◆Joseph E. Lucas, Duke Institute for

Genome Science and Policy

10:55 a.m. Nonparametric Mixtures of Nonparametric Mixtures for Sparse Non-Gaussian Density Estimation with

Application to Flow Cytometry—◆Daniel Merl,

Duke University

10:35 a.m.

Blocked Experimental Designs for a Non-

Normal Response—◆Dave Woods, University of

Southampton ; Peter van de Ven, TNO Quality of Life

10:55 a.m. Sequential Design of Experiments for GLMs—

David M. Steinberg, Tel Aviv University

;

Hovav Dror, Tel Aviv University

148 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:15 a.m. Adaptive Experimental Designs for Determining the

Optimum Factor Level with Trinomial Responses—

Barbara Bogacka, Queen Mary University of London

11:35 a.m. On Locally Optimal Designs for Generalized Linear

Models with Group Effects—◆Min Yang, University of Missouri-Columbia

11:55 a.m. Disc: Randall Tobias, SAS Institute Inc.

12:15 p.m. Floor Discussion

11:15 a.m.

Source Term Estimation with Expensive

Likelihoods—◆Nathan Green, Defense Science and Technology Laboratory

11:35 a.m.

Bayes Filtering for Spatio-Temporal Poisson Cluster

Point Processes—◆Daniel E. Clark, Heriot-Wat

University

; Ba Tuong Vo, University of Western

Australia

; Mark Briers, QinetiQ; Ba-Ngu Vo, The

University of Melbourne

11:55 a.m. Disc: Francois Septier, University of Cambridge

12:15 p.m.

Floor Discussion

307 CC-204C n

Missing Data Handling in Medical Device

Clinical Trials—Topic-Contributed

Biopharmaceutical Section, Biometrics Section

Organizer(s): Ning Li, FDA

Chair(s): Terri K. Johnson, FDA

309 CC-141 n J

Improving Census Data for Demographic

Analysis—Topic-Contributed

Section on Government Statistics, Social Statistics Section

Organizer(s): Katie Genadek, The University of Minnesota

Chair(s): Michael Davern, University of Minnesota

10:35 a.m.

Missing Data Handling in Medical Device Clinical

Trials—◆Xu Yan, FDA; Shiowjen Lee, FDA; Heng Li,

FDA

; Ning Li, FDA

10:55 a.m. Sensitivity Analysis in Missing Value Imputation to

Assess Quantitative Coronary Angiograph Data in Stent Trials—◆Hong Wang, Boston Scientific

Corporation

; Heather Bai, Boston Scientific

Corporation ; Joseph Bero, Boston Scientific

Corporation

11:15 a.m. Sensitivity Analysis for Continuous Endpoints in Two-Arm Medical Device Trials—◆Maria C.

Alfaro, Boston Scientific Corporation

; Joseph Bero,

Boston Scientific Corporation

; Gina Garding, Boston

Scientific Corporation

11:35 a.m. Reverse Regression in Randomized Clinical

Trials with Nonignorable Nonresponse—

Zhiwei Zhang, FDA

11:55 a.m. Disc: Gang Chen, Johnson & Johnson

12:15 p.m. Floor Discussion

10:35 a.m. Decennial Census Data at the Census Bureau’s

Research Data Centers—◆Todd Gardner,

U.S. Census Bureau

10:55 a.m. Errors in Age and Sex Data in the Census

Bureau’s Public Use Microdata Samples—◆Betsey

Stevenson, University of Pennsylvania

; Trent

Alexander, Minnesota Population Center ; Michael

Davern, University of Minnesota

11:15 a.m. Constructing Synthetic Samples Using Simulated

Annealing—Glen Meeden, The University of

Minnesota

; ◆Hua Dong, Amgen, Inc.

11:35 a.m. Weighting the Matched Current Population Survey

Respondents—◆Katie Genadek, The University of Minnesota

11:55 a.m. Disc: Jacob A. Klerman, Abt Associates Inc.

12:15 p.m. Floor Discussion

308 n J

Bayesian Tracking Problems—

Topic-Contributed

Section on Bayesian Statistical Science

CC-206

Organizer(s): Simon Godsill, University of Cambridge

Chair(s): Julien Cornebise, Statistical and Applied Mathematical

Sciences Institute

310 CC-144C n

Reliability Issues in the DoD: A Session in

Honor of Paul Ellner—Topic-Contributed

Section on Statistics in Defense and National Security

Organizer(s): Aparna Huzurbazar, Los Alamos National Laboratory

Chair(s): Aparna Huzurbazar, Los Alamos National Laboratory

10:35 a.m. Dynamic Spatial Mixture Modeling and Its

Application in Bayesian Tracking for Cell

Fluorescent Microscopic Imaging—◆Chunlin Ji,

Duke University ; Mike West, Duke University

10:55 a.m. Variational Mean Field Approach to Efficient

Multitarget Tracking—◆Ernest Fokoue,

Kettering University

10:35 a.m.

Redefining the Role of Statistical Science in

Defense and National Security—◆Duane Steffey,

Exponent, Inc.

10:55 a.m.

Ballistic Imaging—◆John E. Rolph, University of

Southern California

11:15 a.m. Reliability Growth Planning and Implementation of the ASA(ALT) Reliability Test Threshold—◆J. Brian

Hall, U.S. Army Test and Evaluation Command

11:35 a.m. Adventures in Reliability Growth Modeling—

Arthur Fries, Institute for Defense Analyses

Washington, DC 149

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:55 a.m. An Unsung Hero in Reliability Growth—◆James

Los Angeles

Streilein, U.S. Army Test and Evaluation Command

;

J. Brian Hall, U.S. Army Test and Evaluation

Command

12:15 p.m. Floor Discussion

311

Statistical Methods in Molecular Evolution—

Topic-Contributed

WNAR, Section on Bayesian Statistical Science

CC-209A

Organizer(s): Erik W. Bloomquist, University of California,

Chair(s): Jennifer Tom, University of California, Los Angeles

10:35 a.m.

Many-Core Algorithms for Statistical

Phylogenetics—◆Marc A. Suchard, University of

California, Los Angeles

; Andrew Rambaut, University of Edinburgh

10:55 a.m. Joint Bayesian Estimation of Phylogeny and

Sequence Alignment—◆Heejung Shim, University of Wisconsin-Madison

; Bret Larget, University of

Wisconsin-Madison

11:15 a.m. Unifying Vertical and Nonvertical Evolution—◆Erik

W. Bloomquist, University of California, Los Angeles

11:35 a.m. Statistical Properties of Site-to-Site Rate

Heterogeneity Estimators—◆Spencer V. Muse,

North Carolina State University

; Frank Mannino,

GlaxoSmithKline

11:55 a.m. The Lineage Model for Metagenomic Clonal

Population Structure—◆John D. O’Brien,

University of Bristol

12:15 p.m. Floor Discussion

312 n

Statistical Methods in Reproductive

Epidemiology—Topic-Contributed

CC-209B

Section on Statistics in Epidemiology, Social Statistics Section,

Biometrics Section, Section on Bayesian Statistical Science

Organizer(s): Rajeshwari Sundaram, Eunice Kennedy Shriver

National Institute of Child Health and Human Development, NIH

Chair(s): Rajeshwari Sundaram, Eunice Kennedy Shriver National

Institute of Child Health and Human Development, NIH

10:35 a.m.

Enriched Stick-Breaking Processes for Functional

Data—◆Bruno Scarpa, Università di Padova; David

Dunson, Duke University

10:55 a.m. Flexible Bayesian Human Fecundability Models with Generalized t-Link—◆Sungduk Kim, National

Institute of Child Health and Human Development

;

Rajeshwari Sundaram, Eunice Kennedy Shriver

National Institute of Child Health and Human

Development, NIH ; Germaine M. Louis, Eunice

Kennedy Shriver National Institute of Child Health and Human Development, NIH

11:15 a.m.

An Association Model for Longitudinal Intercourse

Data with Informative Censoring via Time-to-

Conception—◆Kirsten J. Lum, Eunice Kennedy

Shriver National Institute of Child Health and Human

Development, NIH

; Rajeshwari Sundaram, Eunice

Kennedy Shriver National Institute of Child Health and Human Development, NIH

; Germaine M. Louis,

Eunice Kennedy Shriver National Institute of Child

Health and Human Development, NIH

11:35 a.m. Estimating Diagnostic Accuracy of Linear

Combination of Multiple Biomarkers While

Accounting for Limits of Detection—◆Neil J.

Perkins, National Institute of Child Health and

Human Development ; Enrique Schisterman,

National Institutes of Health

11:55 a.m. Disc: Zhen Chen, The Eunice Kennedy Shriver

National Institute of Child Health and

Human Development

12:15 p.m. Floor Discussion

Contributed Sessions

10:30 a.m.–12:20 p.m.

313 CC-159A n

Applied Regression Techniques—Contributed

Section on Physical and Engineering Sciences, Section on

Quality and Productivity

Chair(s): Joe H. Sullivan, Mississippi State University

10:35 a.m.

Interior Analysis in Multiple Linear Regression—

John F. Wellington, Indiana University Purdue

University Fort Wayne

; Stephen A. Lewis, Mongrel

Works, Inc.

10:50 a.m. Comparison of Methods to Understand the Link

Between Climate Variability and Hurricane Counts—

Roshanak Nateghi, Johns Hopkins University

;

Seth D. Guikema, Johns Hopkins University ; Steven

Quiring, Texas A&M University

11:05 a.m. Comparison of Risks of Generalized Ridge

Regression Estimators and Least Square Estimators

Averaged Over the Linex Loss Function—◆Marvin

H.J. Gruber, Rochester Institute of Technology

150 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:20 a.m.

Modeling Approaches Applied to Pulse Jet Mixing

Data - Part 1—◆Greg Piepel, Pacific Northwest

National Laboratory

; Brett Amidan, Pacific Northwest

National Laboratory

; Alejandro Heredia Langner,

Pacific Northwest National Laboratory

; Perry Meyer,

Pacific Northwest National Laboratory ; Beric Wells,

Pacific Northwest National Laboratory

; James Fort,

Pacific Northwest National Laboratory

; Judith

Bamberger, Pacific Northwest National Laboratory

;

William Kuhn, Pacific Northwest National Laboratory

11:35 a.m. Modeling Approaches Applied to Pulse Jet Mixing

Data - Part 2—◆Brett Amidan, Pacific Northwest

National Laboratory

; Greg Piepel, Pacific Northwest

National Laboratory ; Alejandro Heredia-Langner,

Pacific Northwest National Laboratory

; Perry Meyer,

Pacific Northwest National Laboratory

; Beric Wells,

Pacific Northwest National Laboratory

; James Fort,

Pacific Northwest National Laboratory

; Judith

Bamberger, Pacific Northwest National Laboratory ;

William Kuhn, Pacific Northwest National Laboratory

11:50 a.m. Prediction-Based Model Selection—◆Adam L.

Pintar, Iowa State University ; Christine Anderson-

Cook, Los Alamos National Laboratory

; Huaiqing

Wu, Iowa State University

12:05 p.m. Simple Linear Regression When Both Variables Are

Random—◆Christopher Tong, Merck & Co., Inc.;

Shubing Wang, Merck & Co., Inc.

314 CC-153

Educational Accreditation, Guidelines, and

Certification—Contributed

Section on Statistical Education

Chair(s): Jennifer J. Kaplan, Michigan State University

10:35 a.m. Teaching Business Statistics: An Accreditation

Standards Perspective—◆Bodapati V.R. Gandhi,

University of Puerto Rico

10:50 a.m. Putting BIO2010 Into Practice: Collaborations for

Statistics and Biology—◆Debra Hydorn, University of Mary Washington

11:05 a.m. Fostering Change in College Students’

Mathematical and Statistical Dispositions Through

GAISE—◆Caroline Ramirez, University of California,

Davis/California State University

11:20 a.m. Statistical Literacy and Attitudes Over Two

Semesters of Required Business Statistics—

Amy L. Phelps, Duquesne University

11:35 a.m. GAISE Between the Lines: Criteria and a Rubric for Assessing Introductory Statistics Textbooks—

Deborah Rumsey, The Ohio State University ; ◆W.

Robert Stephenson, Iowa State University

; Amy G.

Froelich, Iowa State University

; Jared Schuetter,

The Ohio State University

11:50 a.m. The Integration of the SAS Certificate Program Into the Classroom Teaching Environment—◆Jun Lu,

American University

; Monica Jackson, American

University

; Mary Gray, American University;

Helena Solana, American University

12:05 p.m. On the Topic of Assessment Cheating Detection—

Weimin Zhang, American Institutes for Research

;

Jiang Tao, American Institutes for Research

315 n

Analysis of Prevalence and Risk in

Epidemiologic Studies—Contributed

Section on Statistics in Epidemiology

Chair(s): Sowmya Rao, MGH Biostatistics Center

10:35 a.m.

Bhaumik, University of Illinois at Chicago

San Francisco

CC-102A

Variance Estimation of Partial Population

Attributable Fraction and Its Applications—

Jungwha Lee, University of Illinois at Chicago

;

Sally Freels, University of Illinois at Chicago

; Dulal K.

10:50 a.m. A Simulation Study of Health Disparity Indexes:

How Do They Depend on Prevalence?—◆Stuart

Gansky, University of California, San Francisco

;

Nancy F. Cheng, University of California, San

Francisco ; Gloria Mejia, University of California,

11:05 a.m. A Fresh Look at the Discriminant Function

Approach for Estimating Crude or Adjusted Odds

Ratios—◆Robert H. Lyles, Emory University;

Ying Guo, Emory University

; Andrew N. Hill, CDC

11:20 a.m. Bias-Corrected Inference for the Conditional

Logistic Regression—◆Jenny Sun, Texas

A&M University

11:35 a.m. Interval Estimation of Risk Difference for Clustered

Data—◆Tasneem Zaihra, University of Windsor;

Sudhir R. Paul, University of Windsor

11:50 a.m. On the Confidence Intervals of Attributable Risk

Using Delta and Bootstrap Methods for a Cross-

Sectional Sampling Design with Confounders—

Tanweer J. Shapla, Eastern Michigan University

;

Khairul Islam, Wayne State University

12:05 p.m. Some Errors Frequently Occurring in Estimating the

Required Sample Size in Cohort and Case-Control

Studies—◆Peng T. Liu, FDA

316 CC-155

Teaching Tools for Basic Statistical Literacy in the Health Sciences—Contributed

Section on Teaching of Statistics in the Health Sciences

Chair(s): Penelope S. Pekow, University of Massachusetts Amherst

10:35 a.m. Seeing Is Believing—◆Paul L. Stephenson, Grand

Valley State University ; Mary Richardson, Grand

Valley State University

Washington, DC 151

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

10:50 a.m. Use of Interesting Examples in Teaching an

Introductory Biostatistics Course: 3 Controversies and 2 Parodoxes—◆Harry J. Norton, Carolinas

Medical Center

; George Divine, Henry Ford Hospital

11:05 a.m. Designing Curricula Supporting the Development of Statistical Literacy—◆Rochelle E. Tractenberg,

Georgetown University Medical Center

11:20 a.m. Teaching Statistics to DNP and PhD Nursing

Students: The Opportunities and Challenges of a

Distance-Learning Format—◆Mary Kay Rayens,

University of Kentucky

11:35 a.m. On Developing a Master’s-Level Course in

Biostatistical Consulting—◆Stephen W. Looney,

Medical College of Georgia

; Jennifer L. Waller,

Medical College of Georgia

11:50 a.m. Adding a Small Unit on QIS to a Lower-Division

Undergraduate Concept–Oriented Statistical

Literacy Class for Nursing Majors—◆Robert D.

Curley, University of Central Oklahoma

12:05 p.m. Floor Discussion

317 CC-143C n

Methods for Ignorable and Nonignorable

Nonresponse—Contributed

Section on Survey Research Methods

Chair(s): Jana Asher, Carnegie Mellon University

10:35 a.m. Analysis of Nonresponse in a Social Survey with the Sharp Bounds Method—◆Yury Gubman, Israeli

Central Bureau of Statistics

; Charles F. Manski,

Northwestern University

; John V. Pepper, University of Virginia

; Dmitri Romanov, Israeli Central

Bureau of Statistics

10:50 a.m. Propensity Score Methodology for Nonignorable

Nonresponse—◆Leigh Ann H. Starcevich,

Oregon State University

; Virginia Lesser,

Oregon State University

11:05 a.m. Responsive Design for Random Digit Dial

Surveys Using Auxiliary Survey Process Data and

Contextual Data—◆Sunghee Lee, University of

California, Los Angeles

11:20 a.m. The Rao, Hartley, and Cochran Scheme with

Dubious Random Nonresponse in Survey

Sampling—◆Sarjinder Singh, Texas A&M

University-Kingsville

; Maria del Mar Rueda

Garcia, Universidad de Granada

; Antonio Arcos,

Universidad de Granada

; Raghunath Arnab,

University of Botswana

11:35 a.m. Propensity Score Matching to Correct Telephone

Surveys for Cell Phone Nonresponse—

John Bremer, Harris Interactive

11:50 a.m. Simulation Studies of a Latent-Class Selection

Model for Nonignorable Missing Data—

Hyekyung Jung, Texas Tech University ; Joseph L.

Schafer, Penn State University

; Byungtae Seo,

Texas Tech University

152 JSM 2009

12:05 p.m. Are We Adjusting Response Rates or Survey

Variables? The Effects of Multiple Auxiliary Variables on Nonresponse Adjustment—◆Frauke Kreuter,

University of Maryland

; Kristen Olson, University of Nebraska-Lincoln

318 CC-208A

Dimension Reduction Using PCA and PLS—

Contributed

Section on Statistical Learning and Data Mining, Interface

Foundation of North America

Chair(s): Prasenjit Kapat, The Ohio State University

10:35 a.m.

Statistical Inference for High-Dimensional Data—

Yingli Qin, Iowa State University

10:50 a.m.

Data Fusion and Inference with Disparate Feature

Spaces Using Iterative Denoising Trees—

Bennett A. Landman, Johns Hopkins University

;

Youngser Park, Johns Hopkins University

; Zhiliang

Ma, Johns Hopkins University ; Carey E. Priebe,

Johns Hopkins University

11:05 a.m. Penalized Rotation of a Subset of Principal

Components—◆Trevor Park, University of Florida

11:20 a.m. An Iterative Thresholding Approach for Sparse

PCA—◆Zongming Ma, Stanford University

11:35 a.m.

On Clustering fMRI Time Series Using Potts and Mixture Regression Models—◆Jing Xia,

University of Illinois at Urbana-Champaign

; Feng

Liang, University of Illinois at Urbana-Champaign ;

Yongmei (Michelle) Wang, University of Illinois at

Urbana-Champaign

11:50 a.m. Robust Dimension Reduction PLS Method for

Classification—Nedret Billor, Auburn University;

Asuman Turkman, The Ohio State University

12:05 p.m. Floor Discussion

319 CC-149B

Advances in Robust Methods and Anomaly

Detection—Contributed

Section on Statistical Computing, Interface Foundation of

North America

Chair(s): James A. Shine, U.S. Army Topographic Engineering Center

10:35 a.m.

Robust Inference in Conditionally Linear Nonlinear

Regression Models—◆Harshini Fernando,

Purdue University North Central

10:50 a.m. Functional Linear Model—◆Robertas Gabrys,

Utah State University

; Piotr Kokoszka, Utah State

University

; Lajos Horvath, The University of Utah

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:05 a.m. Anomaly Detection Using Scan Statistics on

Time Series Hypergraphs—◆Youngser Park,

Johns Hopkins University

; Carey E. Priebe,

Johns Hopkins University

; David Marchette,

Naval Surface Warfare Center

; Abdou Youssef,

The George Washington University

11:20 a.m. A High Breakdown Approach for Fitting Nonlinear

Regression—◆Dost M. Khan, University of

Peshawar ; Douglas M. Hawkins, The University of Minnesota

11:35 a.m. Detecting Anomalous Documents in a Corpus-

Driven Language Model—◆Kristin Yancey, Naval

Surface Warfare Center

; Elizabeth L. Hohman, Naval

Surface Warfare Center

11:50 a.m. Developing Median Regression for SURE Models—

Ghazi Shukur, Vaxjo University

; ◆Zangin A.A.

Zeebari, Vaxjo University

12:05 p.m. Efficient Uk’s Redescending M-estimator for Robust

Regression—◆Umair Khalil, University of Peshawar;

Fazli Qadir, University of Peshawar

; Amjad Ali,

University of Peshawar

320

Nonparametric Testing—Contributed

Section on Nonparametric Statistics

Chair(s): Jeffrey Hart, Texas A&M University

CC-157

10:35 a.m. A Note on Analysis of Means-Type Nonparametric

Tests for Homogeniety of Variances—◆Saad T.

Bakir, Alabama State University

10:50 a.m. Comparing Two Groups Based on Partial

Orderings: Three Matched Pair Designs—

Jun Cao, Temple University ; Woollcott Smith,

Temple University

11:05 a.m. Robust Heteroscedastic MANOVA: Asymptotics and Small Sample Approximations—◆Solomon W.

Harrar, The University of Montana ; Arne C. Bathke,

University of Kentucky

11:20 a.m. A Wilcoxon Rank-Sum Test for Clustered Data—

Sundar Natarajan, VA New York Harbor

Healthcare System

; Stuart Lipsitz, Brigham and Women’s Hospital

11:35 a.m. Heterogeneous Compound Symmetry in a

Nonparametric Analysis of Block Designs—

Angela Schörgendorfer, University of Kentucky

;

Laurence V. Madden, The Ohio State University

;

Arne C. Bathke, University of Kentucky

11:50 a.m. A Nonparametric Version of Wilks’ Lambda:

Asymptotics, Approximations, and Permutations—

Chunxu Liu, University of Kentucky ; Arne C.

Bathke, University of Kentucky ; Solomon W.

Harrar, The University of Montana

12:05 p.m. Greenhouse-Geisser Adjustment and the ANOVA-

Type Statistic: Distant Cousins or Twins?—

Arne C. Bathke, University of Kentucky

; Oliver

Schabenberger, SAS Institute Inc.

; Randall Tobias,

SAS Institute Inc.

; Laurence V. Madden, The Ohio

State University

321 CC-144A n J

Advances in Government Statistical

Agencies Around the World—Contributed

Section on Government Statistics

Chair(s): Robert Lussier, Statistics Canada

10:35 a.m. The Current State of the Microdata Analysis System at the Census Bureau—◆Jason Lucero, U.S. Census

Bureau

; Laura Zayatz, U.S. Census Bureau

10:50 a.m. The Impact of Cleansing Procedures for Overlaps on Estimation Results: Evidence for German

Administrative Data—◆Patrycja Scioch, Institute for Employment Research

11:05 a.m. Comparisons of Methodological Approaches to the Follow-Up Operation for Business Surveys—

Hansheng Xie, Statistics Canada ; Serge Godbout,

Statistics Canada

; Sungjin Youn, Statistics Canada

11:20 a.m. Benefits and challenges of supporting in-house analysis of data in a statistical agency—◆Jane F.

Gentleman, National Center for Health Statistics

11:35 a.m. Puerto Rico Institute of Statistics: Starting from

Scratch—◆Mario Marazzi, Puerto Rico Institute of

Statistics

; Carlos Toro-Vizcarrondo, University of

Puerto Rico

11:50 a.m. Evaluating the Likely Efficacy of Paid Tax Preparer

Regulation—◆Anna Maria Ortiz, U.S. Government

Accountability Office

12:05 p.m. Floor Discussion

322

Oncology Trials—Contributed

Biometrics Section

CC-203A

Chair(s): Leslie McClure, University of Alabama at Birmingham

10:35 a.m. ‘Dose-Establishment’ Designs for Phase I/II Cancer

Immunotherapy Trials—◆Karen Messer, University of California, San Diego

10:50 a.m. Proportional Odds Model for Dose-Finding Clinical

Trial Designs with Ordinal Toxicity Grading—◆Emily

M. Van Meter, Medical University of South Carolina ;

Elizabeth Garrett-Mayer, Medical University of

South Carolina

; Dipankar Bandyopadhyay, Medical

University of South Carolina

11:05 a.m. Simon’s Two-Stage Design for Phase II

Cancer Clinical Trials with Two Distributions as

Hypotheses—◆Junfeng Liu, University of Medicine and Dentistry of New Jersey

; Yong Lin, University of Medicine and Dentistry of New Jersey ; Weichung

J. Shih, University of Medicine and Dentistry of

New Jersey

11:20 a.m. Reinforcement Learning Treatment Strategies

Based on Support Vector Regressions in a

Non-Small Cell Lung Cancer Trial—◆Yufan Zhao,

Amgen, Inc.

; Michael Kosorok, The University of

North Carolina at Chapel Hill

Washington, DC 153

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:35 a.m. The Calibration of the TITE-CRM Design for

Phase I Cancer Trials with Fast Patient Accrual—

Mei-Yin Polley, University of California,

San Francisco

11:50 a.m.

Estimation of Safe and Effective Dose in Phase I

Clinical Trials in Oncology—◆Motomi Mori, Oregon

Health & Science University ; Yiyi Chen, Oregon

Health & Science University

; Joshi Alumkal,

Oregon Health & Science University

12:05 p.m.

Comparing CRM with Frequentist t-Statistic

Method for Phase I Clinical Trials in Oncology—

Amit Phansalkar, Cytel, Inc.

323 CC-203B

Alternatives to Proportional Hazards Survival

Methods—Contributed

Biometrics Section, Section on Bayesian Statistical Science

Chair(s): Daohai Yu, H. Lee Moffitt Cancer Center &

Research Institute

10:35 a.m. Hazard Change-Point Models with Left-Truncated and Right-Censored Data—◆Deniz C. Yenigun,

Bilkent University ; Ulku Gurler, Bilkent University

10:50 a.m. Proportional Hazards and Threshold Regression:

Their Theoretical and Practical Connections—

Mei-Ling Ting Lee, University of Maryland ;

George A. Whitmore, McGill University

11:05 a.m. Survival Analysis Under Nonproportional Hazards:

A Unified Approach—◆Jianghua He, The University of Kansas Medical Center

; Matthew S. Mayo, The

University of Kansas Medical Center

11:20 a.m. Estimating Differences in Restricted Mean Lifetime

Using Observational Data in the Presence of

Dependent Censoring—◆Min Zhang, University of Michigan

; Douglas E. Schaubel, University of Michigan

11:35 a.m. Ecological Momentary Assessment: Opportunities for Statistical Research—◆Stephen L. Rathbun,

The University of Georgia

11:50 a.m. Estimation of Median Household and

Family Incomes for Small Areas: A Bayesian

Semiparametric Approach—◆Dhiman Bhadra,

University of Florida ; Malay Ghosh, University of Florida

12:05 p.m. Exact and Asymptotic Weighted Logrank Tests for Interval-Censored Data: A Review and New R

Package—◆Michael P. Fay, National Institute of

Allergy and Infectious Diseases

; Pamela A. Shaw,

National Institute of Allergy and Infectious Diseases

324 CC-204B n

Vaccine Trials and HIV Trials—Contributed

Biopharmaceutical Section

Chair(s): John Zhong, Human Genome Sciences

10:35 a.m. Test of Acceptable Vaccine Immunogenicity: t-Test vs. Longitudinal Data Analysis Model—◆Xiaoming

Li, Merck Research Laboratories

; Frank Liu, Merck

Research Laboratories

; Devan V. Mehrotra, Merck

Research Laboratories

10:50 a.m. Polishing a Diamond in the Rough: Deconstructing and Reconstructing the Estimate of Population

Benefit of Vaccination—◆Oliver M. Bautista,

Merck & Co., Inc.

11:05 a.m. Application of Subsampling Methods for the

Correlation of Immunogenicity and Efficacy in

Vaccine Trials—◆Yanli Zhao, Merck & Co., Inc.;

William Wang, Merck & Co., Inc.

; Ivan S.F. Chan,

Merck & Co., Inc.

11:20 a.m.

Control Chart Performance When Monitoring

Long-Term Vaccine Efficacy—◆J. Brooke Marshall,

Merck Research Laboratories

; David Radley, Merck

Research Laboratories

; Lisa Lupinacci, Merck

Research Laboratories

11:35 a.m.

A Meta-Analysis to Assess the FDA Division of Antiviral Product’s Time to Loss of Virologic

Response (TLOVR) Algorithm in HIV Submissions—

Fraser Smith, FDA ; Thomas Hammerstrom, FDA;

Guoxing (Greg) Soon, FDA ; Susan Zhou, FDA; Baibai

Chen, FDA

; Yabing Mai, FDA; Kimberly Struble,

FDA

; Mohammad F. Huque, FDA

11:50 a.m. Handling Missing Outcome Data When Estimating and Testing the Average Causal Effect of Treatment for a Subset Selected by a Post-Randomization

Event—◆Robin Mogg, Merck Research Laboratories;

Devan V. Mehrotra, Merck Research Laboratories ;

Peter Gilbert, University of Washington/Fred

Hutchinson Cancer Research Center

; Thomas Ten

Have, University of Pennsylvania

; Marshall Joffe,

University of Pennsylvania

12:05 p.m. Floor Discussion

325 CC-204A n

Issues in Subgrouping Analysis and

Preclinical and Phase I Trials—Contributed

Biopharmaceutical Section

Chair(s): Jonathan Norton, FDA

10:35 a.m. Dose-Response Assay Equivalence with Replicate

Data—◆Steven Novick, GlaxoSmithKline

10:50 a.m. Subgroup Heterogeneity in Drug Efficacy—

Qiang (Casey) Xu, FDA

; Rajeshwari Sridhara,

FDA

; Shenghui Tang, FDA; Yu-Ling Chang, FDA

154 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:05 a.m. Fit Five-Parameter Logistic Function for Assay

Data Using SAS—◆Rong Liu, Merck & Co., Inc.;

Shuping Zhang, Merck & Co., Inc.

; Jason Liao,

Merck Research Laboratories ; Shuping Zhang,

Merck & Co., Inc.

11:20 a.m. A Clinically More Meaningful Interaction Test of

Treatment Effects Within Subgroups—◆Weihua

Tang, Bristol-Myers Squibb Company

; David H.

Henry, Bristol-Myers Squibb Company

; Lisa Ying,

Bristol-Myers Squibb Company

11:35 a.m. Rationale for Sponsor-Unblinded Phase I Trials:

Challenging the Double-Blind Paradigm—◆Jitendra

Ganju, Amgen, Inc.

; Clapton Dias, Amgen, Inc.

11:50 a.m. Dose-Time-Effect Modeling for Cancer Cell Growth in In-Vitro Experiments—◆Maiying Kong, University of Louisville

12:05 p.m. Understanding the Key Factors in the Design of a

Randomized Thorough QT Study—◆Jessie Qing

Xia, National Institute of Statistical Sciences

; Alexei

A. Dmitrienko, Eli Lilly and Company ; Beasley

Charles, Eli Lilly and Company ; S. Stanley Young,

National Institute of Statistical Sciences

326

Education—Contributed

Business and Economic Statistics Section

CC-159B

Chair(s): Bill Parr, China Europe International Business School

10:35 a.m. Performance of MBA Students on Assessment

Test—◆Mammo Woldie, Texas Southern University

10:50 a.m. Analysis of Italian Survey Data on PhD Graduates:

Is Job Consistent with Education?—◆Matilde Bini,

University of Florence ; Leonardo Grilli, University of Florence

11:05 a.m. Does Major Affect Employment Outcomes and

Job Satisfaction Among Business Graduates?—

Margaretha Hsu, Shippensburg University

11:20 a.m. Math and Science Partnerships to Enhance Student

Outcomes: Evidence of Policy Implications from the ATOMS2XP Project—◆Mack Shelley, Iowa

State University

; Betty Latimer, Mississippi State

University

; Mari Kemis, Iowa State University;

Elena Polush, Iowa State University

11:35 a.m. A Test of Two Similar Particle System Models of Wage Income Distribution Conditioned on

Education—◆John Angle, Inequality

Process Institute

11:50 a.m. Constructing University Performance Indicators in

Italy: A Comparative Approach—◆Tiziana Laureti,

University of Naples ; Margherita Velucchi,

Università di Firenze

12:05 p.m. Floor Discussion

327 CC-143B

Small-Area Estimation and Coverage Issues—

Contributed

Section on Survey Research Methods

Chair(s): Tapabrata Maiti, Michigan State University

10:35 a.m. A Simulation Study of the Distribution of Fay’s

Successive Difference Replication Variance

Estimator—◆Elizabeth T. Huang, U.S. Census

Bureau ; William R. Bell, U.S. Census Bureau

10:50 a.m. Coverage Bias and Sampling Error in a Study

Using 1000-Series RDD Sampling—◆John Hall,

Mathematica Policy Research, Inc.

; Karen Cybulski,

Mathematica Policy Research, Inc.

; Nancy Duda,

Mathematica Policy Research, Inc.

11:05 a.m.

Modeling County-Level Vaccination Coverage

Rates—◆Nadarajasundaram Ganesh, NORC at the

University of Chicago

; Philip J. Smith, CDC; Kennon

R. Copeland, NORC at the University of Chicago

;

Kirk Wolter, NORC at the University of Chicago

11:20 a.m. Small-Area Variance Modeling with Application to County Poverty Estimates from the American

Community Survey—◆Jerry J. Maples, U.S. Census

Bureau ; William R. Bell, U.S. Census Bureau;

Elizabeth T. Huang, U.S. Census Bureau

11:35 a.m. A SPREE Small-Area Procedure for Estimating

Population Counts—◆Emily Berg, Iowa State

University

; Wayne Fuller, Iowa State University

11:50 a.m. Using Predictive Marginals to Produce

Standardized Estimates—◆Kathryn Spagnola, RTI

International

; Michael B. Witt, RTI International

12:05 p.m. Floor Discussion

Speaker with Lunch

12:30 p.m.–1:50 p.m.

328 CC-301

Business and Economic Statistics Section

Speaker with Lunch (fee event)—Speaker with Lunch

Business and Economic Statistics Section

Organizer(s): Stuart Scott, Bureau of Labor Statistics

TL09 Rebalancing the American Economy: Challenges to

Recovery—◆Barry Bosworth, The Brookings Institution

Washington, DC 155

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Roundtables with Lunch

12:30 p.m.–1:50 p.m.

329 CC-Ballroom South Prefunction

Biopharmaceutical Section Roundtables with

Lunch (fee event)

Biopharmaceutical Section

Organizer(s): Dionne Price, FDA

332 CC-Ballroom South Prefunction

Section on Government Statistics Roundtable with Lunch (fee event)

Section on Government Statistics

Organizer(s): Lisa Blumerman, U.S. Census Bureau

TL18 The Unique Method for Obtaining Data: Entering

Agreements to Share Administrative Records—◆Stephen

Q. Cornman, National Center for Education Statistics

; Shelly

W. Martinez, Office of Management and Budget

TL10 Statistical Issues on Design and Analysis of Thorough QT

Clinical Trials—◆Yi Tsong, FDA

TL11 Building a Professional Mentoring Network—◆Christy

Chuang-Stein, Pfizer Inc.

TL12 Best Practices for Specifications of Tables, Listings, and

Figures—◆Charles Kincaid, COMSYS

TL13 Subgroup Analysis: Cost and Ethical Considerations—

Terri K. Johnson, FDA

TL14 Establishing Biomarkers That Are Predictive of Efficacy in

Retrospective Analyses—◆Terry Katz, ImClone Systems;

Michael Szarek, ImClone Systems

TL15 Statistical Issues in Bioassay Analytical Software: The

Present and Future—◆Lev Sirota, FDA

333 CC-Ballroom South Prefunction

Section on Health Policy Statistics Roundtable with Lunch (fee event)

Section on Health Policy Statistics

Organizer(s): Susan Paddock, RAND Corporation

TL19 Drawing Evidence Using Multiple Studies for

Public Health Questions—◆Chia-Wen Ko,

National Institutes of Health

330 CC-Ballroom South Prefunction

International Chinese Statistical Association

Roundtable with Lunch (fee event)

International Chinese Statistical Association

Organizer(s): Xuming He, University of Illinois at

Urbana-Champaign

TL16 Global Clinical Trials—◆Dianne M. Finkelstein, Harvard/

Massachusetts General Hospital

334 CC-Ballroom South Prefunction

Section on Physical and Engineering Sciences

Roundtables with Lunch (fee event)

Section on Physical and Engineering Sciences

Organizer(s): George Ostrouchov, Oak Ridge National Laboratory

TL20 Using the New Technologies in Teaching Introductory

Statistics—◆Ramon V. Leon, The University of Tennessee

TL21 Climate Past, Present, and Future—◆Douglas Nychka,

National Center for Atmospheric Research

331 CC-Ballroom South Prefunction

Section on Bayesian Statistical Science

Roundtable with Lunch (fee event)

Section on Bayesian Statistical Science

Organizer(s): Alyson Wilson, Iowa State University

335 CC-Ballroom South Prefunction

Section on Statistical Consulting Roundtables with Lunch (fee event)

Section on Statistical Consulting

Organizer(s): Walter Ambrosius, Wake Forest University School of Medicine

TL17 Why Bayesian Statistics and Machine Learning Need

Each Other—◆Sayan Mukerjee, Duke University

TL22 The Current State and Future Role of Pro Bono

Statistical Consulting—◆Christopher Holloman,

The Ohio State University

TL23 Setting Consulting Rates—◆Walter Ambrosius, Wake

Forest University School of Medicine

156 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

336 CC-Ballroom South Prefunction

Section on Statistical Education Roundtables with Lunch (fee event)

Section on Statistical Education

Organizer(s): Tisha L. Hooks, Winona State University

TL24 The Best of Both Worlds: Merging Ground and Online

Pedagogy Into the Hybrid Course—◆David Zeitler, Grand

Valley State University

TL25 Using Model-Eliciting Activities (MEAs) in the Introductory

Statistics Class—◆Joan B. Garfield, The University of Minnesota

TL26 Resequencing Topics in an Introductory Statistics

Course—◆Christopher J. Malone, Winona State University

Invited Sessions 2:00 p.m.–3:50 p.m.

340 n

Impact of High-Dimensional Data on

Molecular Epidemiology and Statistical

Genomics—Invited

CC-202A

Section on Statistics in Epidemiology

Organizer(s): Jaya Satagopan, Memorial Sloan-Kettering

Cancer Center

Chair(s): Jaya Satagopan, Memorial Sloan-Kettering Cancer Center

337 CC-Ballroom South Prefunction

Section on Statistical Graphics Roundtable with

Lunch (fee event)

Section on Statistical Graphics

Organizer(s): Heike Hofmann, Iowa State University

2:05 p.m.

Gene Set Analysis as a Tool for Cross-Platform

Integration in Genomics—◆Giovanni Parmigiani,

Johns Hopkins University

; Simina Boca, Johns

Hopkins University

; Luigi Marchionni, Johns

Hopkins University

2:35 p.m.

Statistical Issues and Challenges of Epigenomics—

Rebecca W. Doerge, Purdue University

3:05 p.m. Statistical Methods for Differential Diagnosis of

Second Primary Cancers from Metastases—◆Colin

B. Begg, Memorial Sloan-Kettering Cancer Center

3:35 p.m. Floor Discussion

TL27 Challenges for Statisticians Working on Large

Data Sets in R—◆Michael Kane, Yale University

338 CC-Ballroom South Prefunction

Section on Survey Research Methods

Roundtable with Lunch (fee event)

Section on Survey Research Methods

Organizer(s): Michael Elliott, University of Michigan

341 CC-209C

Analysis of Complex and High-Dimensional

Data—Invited

International Chinese Statistical Association

Organizer(s): Peter G. Hall, The University of Melbourne

Chair(s): Peter G. Hall, The University of Melbourne

TL28

339

Models for the Characterization and Management of

Costs and Risks During Changes in Survey Design—

John L. Eltinge, Bureau of Labor Statistics

CC-Ballroom South Prefunction

Social Statistics Section Roundtables with

Lunch (fee event)

Social Statistics Section

Organizer(s): Joseph J. Salvo, NYC Department of City Planning

TL29 What Every Statistician Should Know About the ACS: ACS for Newbies—◆Susan Schechter, U.S. Census Bureau

TL30 Using Data from the American Community Survey: What

Federal Agencies Need to Know—◆Frederick Eggers,

Independent Consultant

2:05 p.m. Building Nonparametric Sparse Models from

Natural Images to V1 fMRI—◆Bin Yu, University of California, Berkeley ; Pradeep K. Ravikumar,

University of California, Berkeley

; Vincent Vu,

University of California, Berkeley

; Thomas Naselaris,

University of California, Berkeley

; Kendrick Kay,

University of California, Berkeley ; Jack Gallant,

University of California, Berkeley

2:30 p.m. Unsupervised Cross-Validation—◆Art B. Owen,

Stanford University

2:55 p.m. Liquid Association for Complex Data Analysis—

Ker-Chau Li, Institute of Statistical Science,

Academia Sinica

3:20 p.m. Analysis of Complex and High-Dimensional Data—

DuBois Bowman, Emory University

3:45 p.m. Floor Discussion

Washington, DC 157

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

342 CC-207A n J

Bayesian Approaches to Safety, Efficacy, and Health Surveillance—Invited

Section on Bayesian Statistical Science, Section on Survey

Research Methods, Section on Statistics and the Environment,

Biopharmaceutical Section, Section on Government Statistics

Organizer(s): Sharon-Lise T. Normand, Harvard Medical School

Chair(s): Sharon-Lise T. Normand, Harvard Medical School

343

Organizer(s): Yulei He, Harvard Medical School

Chair(s): Christopher H. Schmid, Tufts Medical Center

CC-143C n J

Profiling Health Care Providers: Emerging

Issues, Statistical Methods, and Policy

Implications—Invited

Section on Health Policy Statistics, Section on Government

Statistics

2:05 p.m.

Hospital Report Cards: Toward Optimal Statistical

Decisions—◆Peter Austin, Institute for Clinical

Evaluative Sciences

2:30 p.m.

Evaluating Composite Quality Measures—

Mary Beth Landrum, Harvard Medical School

2:55 p.m. Performance of Confidence Intervals for the Ratio of Observed to Expected Numbers of an Event—

Sean M. O’Brien, Duke University Medical Center

3:20 p.m.

Disc: Shaheen Halim, Centers for Medicare and

Medicaid Services

3:40 p.m.

Floor Discussion

344 CC-149A n J

Statistical Methods for Forecasting—Invited

Business and Economic Statistics Section

Organizer(s): Tae-Hwy Lee, University of California, Riverside

Chair(s): Graham Elliott, University of California, San Diego

2:05 p.m.

Small Area Estimation of the Prevalence of

Cancer Risk Factors and Screening via Bayesian

Methods Using Combined Information from Two

Surveys—William Davis, National Cancer Institute;

Eric Feuer, National Cancer Institute

; Van L. Parsons,

National Center for Health Statistics

; Trivellore E.

Raghunathan, University of Michigan ; ◆Nathaniel

Schenker, National Center for Health Statistics

;

Dawei Xie, University of Pennsylvania

2:30 p.m. The Role of Meta-Analysis in Assessing Adverse

Drug Effects—◆Joel B. Greenhouse, Carnegie

Mellon University

2:55 p.m. Bayesian Shrinkage Models for Associations

Involving Sparse Data—◆William DuMouchel,

Phase Forward Lincoln Safety Group

3:20 p.m. Disc: Danica Marinac-Dabic, FDA

3:40 p.m. Floor Discussion

2:05 p.m. Let’s Do It Again: Bagging Equity Premium

Predictors—Eric Hillebrand, Louisiana State

University

; ◆Tae-Hwy Lee, University of California,

Riverside ; Marcelo C. Medeiros, Pontifical Catholic

University Rio

2:30 p.m. MIDAS Instruments—◆Jonathan H. Wright, Johns

Hopkins University ; Eric Ghysels, The University of

North Carolina at Chapel Hill

2:55 p.m. Factor Model Forecasts of Exchange Rates—

Kenneth West, University of Wisconsin-Madison

3:20 p.m. Forecasting Inflation with Gradual Regime Shifts and Exogenous Information—◆Kistin Hubrich,

European Central Bank ; Timo Teraesvirta, Aarhus

University ; Andrés González, Central Bank of

Colombia

3:45 p.m. Floor Discussion

345 CC-150A n J

The Agony and Ecstasy of Innovation in

Federal Surveys—Invited

Section on Government Statistics, SSC

Organizer(s): Lynda T. Carlson, National Science Foundation

Chair(s): Lawrence D. Brown, The Wharton School

2:05 p.m.

The Importance of Goal-Oriented Leadership for Innovation—◆Constance F. Citro, The

National Academies

2:30 p.m. Partnership for Innovation—◆Jeri M. Mulrow,

National Science Foundation

; Lynda T. Carlson,

National Science Foundation

; Thomas L.

Mesenbourg, U.S. Census Bureau

; Thomas E.

Zabelsky, U.S. Census Bureau

2:55 p.m. Overcoming Extremeness: The Survey Innovator’s

Essential Task—◆Don A. Dillman, Washington

State University

3:20 p.m.

Disc: Norman M. Bradburn, NORC at the University of Chicago

3:40 p.m.

Floor Discussion

158 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

346 n J

Geosciences and SAMSI—Invited

IMS, Section on Bayesian Statistical Science

CC-207B

Organizer(s): James Berger, Statistical and Applied Mathematical

Sciences Institute

Chair(s): Nell Sedransk, National Institute of Statistical Sciences

348 CC-204B

Computer Experiments: Modeling Data and

Making Decisions—Invited

Technometrics, Section on Bayesian Statistical Science,

Interface Foundation of North America

Organizer(s): David M. Steinberg, Tel Aviv University

Chair(s): David M. Steinberg, Tel Aviv University

2:05 p.m.

Functional ANOVA Models for Comparing Sources of Variability in Climate Model Output—◆Cari

Kaufman, University of California, Berkeley ; Stephan

R. Sain, National Center for Atmospheric Research

2:30 p.m. Data Assimilation: What Is the Point?—◆Leonard A.

Smith, University of Oxford

2:55 p.m. Uncertain Tempering and Extreme Events in

Volcanic Risk Assessment—◆Robert L. Wolpert,

Duke University

3:20 p.m.

Disc: James Berger, Statistical and Applied

Mathematical Sciences Institute

3:40 p.m. Floor Discussion

2:05 p.m.

Decision-Theoretic Sensitivity Analysis for

Complex Computer Models—◆Jeremy Oakley,

The University of Sheffield

2:30 p.m. Variable Selection in Bayesian Smoothing Spline

ANOVA Models: Application to Deterministic

Computer Codes—◆Brian J. Reich, North Carolina

State University ; Curtis Storlie, University of New

Mexico ; Howard D. Bondell, North Carolina

State University

2:55 p.m. Disc: Derek Bingham, Simon Fraser University

3:15 p.m.

Disc: Hugh Chipman, Acadia University

3:35 p.m. Floor Discussion

347 CC-204C

J

Memorial for Daniel G. Horvitz: Pioneering

Researcher and Visionary Leader—Invited

Memorial, Section on Survey Research Methods

Organizer(s): Ralph E. Folsom, RTI International

Chair(s): Ralph E. Folsom, RTI International

349 n J

Use of Administrative Data in

Policymaking—Invited

CC-209B

International Association of Survey Statisticians, Section on

Survey Research Methods, Social Statistics Section, Section on

Government Statistics

Organizer(s): Louise Bourque, Institut de la statistique du Québec

Chair(s): Marie-éve Tremblay, Institut de la statistique du Québec

2:05 p.m. Dan Horvitz: His Life and Work as a Statistician—

Judith Lessler, Harland’s Creek Farm

2:30 p.m. Some Generalizations of the Horvitz-Thompson

Estimator—◆James R. Chromy, RTI International

2:55 p.m. Horvitz-Thompson Estimation and Unit

Nonresponse—◆William Kalsbeek, The University of North Carolina at Chapel Hill

; Robert Agans,

The University of North Carolina at Chapel Hill

;

Abigail Panter, The University of North Carolina at Chapel Hill

3:20 p.m. Imputation and Estimation Under NMAR

Nonresponse with Limited Covariate Information—

Danny Pfeffermann, Hebrew University/University of Southampton

; Anna Sikov, Hebrew University

3:45 p.m. Floor Discussion

2:05 p.m.

Use of Income Tax Data of Individuals for

Demographic Purposes—◆Sonia Demers,

Statistics Canada

2:30 p.m. Register Data Are a Good Backbone but Sometimes

Restricted for Policymakers: Experiences from

Finland Over Decades—◆Seppo Laaksonen,

Statistics Finland/University of Helsinki ;

Pekka Myrskyla, Statistics Finland

2:55 p.m. Mixing Administrative and Survey Data in a

Longitudinal Setting: Construction and Uses of the French Permanent Demographic Sample—

Stéphane Jugnot, National Institute for Statistics and Economic Studies

3:20 p.m.

Disc: John L. Eltinge, Bureau of Labor Statistics

3:40 p.m. Floor Discussion

Washington, DC 159

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

350 CC-202B n

New Statistical Methods for Array CGH Data—

Invited

ENAR, Section on Bayesian Statistical Science

Organizer(s): Jeffrey S. Morris, The University of Texas M.D.

Anderson Cancer Center

Chair(s): Jeffrey S. Morris, The University of Texas M.D. Anderson

Cancer Center

2:05 p.m. Bayesian Random Segmentation Models for

Array-CGH Data—◆Veera Baladandayuthapani, The

University of Texas M.D. Anderson Cancer Center

;

Jeffrey S. Morris, The University of Texas M.D.

Anderson Cancer Center ; Yuan Ji, The University of

Texas M.D. Anderson Cancer Center

2:55 p.m. Model-Based Clustering of Array CGH Profiles:

A Recursive-Partitioning Algorithm for Wavelet

Decompositions—◆David Engler, Brigham Young

University

; Brent Coull, Harvard University; Rebecca

Betensky, Harvard School of Public Health

; E. Andres

Houseman, University of Massachusetts Lowell

3:05 p.m. Segregated Analysis of Array CGH Data—

Daniel P. Gaile, State University of New York at

Buffalo

; Jeffrey C. Miecznikowski, State University of New York at Buffalo ; David Gold, Roswell Park

Cancer Institute

; Lara Sucheston, State University of New York at Buffalo

; Song Liu, State University of New York at Buffalo

; Carl Morrison, Roswell Park

Cancer Institute

3:35 p.m. Floor Discussion

Invited Panels 2:00 p.m.–3:50 p.m.

352 CC-102B n J

Mediating Statistics in the Media: Getting

Your Numbers Rightly Reported!—Invited

Committee on Meetings

Organizer(s): Xiao-Li Meng, Harvard University ; David Leonhardt,

The New York Times

Chair(s): Xiao-Li Meng, Harvard University

Panelists:

David Leonhardt, The New York Times

Shankar Vedantam, The Washington Post

William Alpert, Barron’s

3:35 p.m. Floor Discussion

Topic-Contributed Sessions

2:00 p.m.–3:50 p.m.

353

Section on Nonparametric Statistics

Organizer(s): R. Todd Ogden, Columbia University

Chair(s): Philip T. Reiss, New York University

CC-158A

Recent Advances in Methodology for Functional

Data—Topic-Contributed

351 CC-206

Bayes-Frequentist Reconciliation in Large

Parameter Spaces—Invited

IMS, Section on Bayesian Statistical Science, International Indian

Statistical Association

Organizer(s): Subhashis Ghoshal, North Carolina State University

Chair(s): Subhashis Ghoshal, North Carolina State University

2:05 p.m.

Posterior Normality and Prior Selection in High

Dimensions—◆Bertrand Clarke, The University of

British Columbia/University of Miami

; Subhashis

Ghoshal, North Carolina State University

2:35 p.m. A Semiparametric Bernstein-von Mises Theorem—

Ismael Castillo, Vrije Universiteit Amsterdam

3:05 p.m. Large Sample Properties of Bayesian Survival

Analysis—◆Yongdai Kim, Seoul National University

3:35 p.m. Floor Discussion

2:05 p.m. Multilevel Functional Principal Component

Analysis—◆Chongzhi Di, Johns Hopkins University;

Ciprian M. Crainiceanu, Johns Hopkins University

2:25 p.m.

Wavelet-Based Functional Linear Regression—

Yihong Zhao, Columbia University

; Todd Ogden,

Columbia University

2:45 p.m.

Hierarchical Bayesian Models for Predicting

Spatially Correlated Curves—◆Joon Jin Song,

University of Arkansas ; Bani K. Mallick, Texas

A&M University

3:05 p.m. New Data Analysis Methods for Actigraphy in

Sleep Medicine—◆William Shannon, Washington

University School of Medicine

; Jaime Boero,

Marshfield Clinic

; Duntley Stephen, Washington

University School of Medicine

; David Clifford,

Washington University School of Medicine

; Jimin

Ding, Washington University in St. Louis

3:25 p.m. Wavelet-Based Functional Mixed Models via

DPM—◆Alejandro Villagran, Rice University;

Sang-Han Lee, Nathan S. Kline Institute for

Psychiatric Research

; Marina Vannucci,

Rice University

3:45 p.m. Floor Discussion

160 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

354 CC-150B

J

Student Paper Competition - Markov Chains,

Mixture Models, MLEs, and More—

Topic-Contributed

Section on Statistical Computing, Interface Foundation of

North America

Organizer(s): J. R. Lockwood, RAND Corporation

Chair(s): J. R. Lockwood, RAND Corporation

2:25 p.m. The Effect on Linkage Rates and Mortality

Ascertainment of Partial SSN Matching to the

National Death Index—◆Christine S. Cox, National

Center for Health Statistics

; Kimberly Lochner,

National Center for Health Statistics

; Stephanie

Bartee, National Center for Health Statistics ; Donna

Miller, National Center for Health Statistics

; Gloria

Wheatcroft, National Center for Health Statistics

2:45 p.m.

Tracing Survey Respondents Without SSNs—

Marilyn Seastrom, National Center for

Education Statistics

3:05 p.m.

Disc: Mary B. Frazier, U.S. Census Bureau

3:25 p.m. Floor Discussion

2:05 p.m.

Twisted Sisters: Disentangling Selection in

Overlapping Reading Frames—◆Wei-Chen Chen,

Iowa State University

; Karin S. Dorman, Iowa

State University

2:25 p.m. A Steplength Algorithm for Fitting ERGMs—

Ruth M. Hummel, Penn State University

; Mark

S. Handcock, University of Washington

; David R.

Hunter, Penn State University

2:45 p.m. MCPMod: An R Package for the Design and

Analysis of Dose-Finding Studies—◆Bjoern

Bornkamp, Dortmund University of Technology

;

Jose C. Pinheiro, Novartis Pharmaceuticals

;

Frank Bretz, Norvartis, Switzerland

3:05 p.m. Penalized Sieve Deconvolution Estimation of

Mixture Distributions with Boundary Effects—

Mihee Lee, The University of North Carolina at

Chapel Hill

; Haipeng Shen, The University of

North Carolina at Chapel Hill

; J. Steve Marron,

The University of North Carolina at Chapel Hill

3:25 p.m. Pairwise Variable Selection for High-Dimensional

Model-Based Clustering—◆Frank Jian Guo,

University of Michigan

; Elizaveta Levina, University of Michigan

; George Michailidis, University of

Michigan ; Ji Zhu, University of Michigan

3:45 p.m. Floor Discussion

355 CC-144A n J

Efforts to Minimize the Use of Social

Security Numbers in Federal Data Collections—

Topic-Contributed

Social Statistics Section, Section on Government Statistics,

Section on Survey Research Methods

Organizer(s): Marilyn Seastrom, National Center for

Education Statistics

Chair(s): Katherine Wallman, Office of Management and Budget

356 n

Diffusion Tensor Imaging in the Brain:

Overview and Recent Advances—Topic-

Contributed

Biometrics Section

Organizer(s): Lynn E. Eberly, The University of Minnesota

Chair(s): Shuzhen Li, University of Minnesota

CC-141

2:05 p.m. Diffusion Tensor Imaging in the Brain: Overview—

Lynn E. Eberly, The University of Minnesota

2:25 p.m. Statistical Curve and Tube Fitting for Diffusion

Tensor Imaging Tractography—◆Brian S. Caffo,

Johns Hopkins Bloomberg School of Public Health

;

Ciprian M. Crainiceanu, Johns Hopkins University

;

Arthur J. Goldsmith, Johns Hopkins Bloomberg

School of Public Health

; Daniel Reich, Johns

Hopkins University

2:45 p.m. Voxel-Based Inference for Eigenvalues and

Eigenvectors in Group Diffusion Tensor Imaging

Studies—◆Armin Schwartzman, Harvard School of Public Health

; Robert F. Dougherty, Stanford

University

; Jonathan Taylor, Stanford University

3:05 p.m.

Nonparametric Smoothing and Classification of

High Angular Resolution Diffusion Imaging Data—

John D. Carew, Emory University

3:25 p.m.

A Unified Parametric Model of White Matter Fiber

Tract—◆Moo K. Chung, University of Wisconsin

3:45 p.m. Floor Discussion

2:05 p.m.

Federal Policy on Collecting and Using Social

Security Numbers for Statistical Purposes—

Rochelle (Shelly) W. Martinez, Office of

Management and Budget

; John Barkhamer,

Office of Management and Budget

Washington, DC 161

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

357 CC-144C n

Analyzing Complex Survey Data Using

Auxiliary Variables—Topic-Contributed

Section on Survey Research Methods

Organizer(s): Daniell Toth, Bureau of Labor Statistics

Chair(s): Polly Phipps, Bureau of Labor Statistics

2:05 p.m.

Bayesian Inference of Finite Population Distribution

Functions and Quantiles from Unequal Probability

Samples—◆Qixuan Chen, University of Michigan;

Michael Elliott, University of Michigan

; Roderick J.A.

Little, University of Michigan

2:25 p.m. Estimating Variance Components Using Random

Forest—◆Guillermo Mendez, American Express;

Sharon Lohr, Arizona State University

2:45 p.m.

An Adaptive Method for Collapsing Strata Using

Regression Trees on Data from a Complex

Design—◆Daniell Toth, Bureau of Labor Statistics;

John L. Eltinge, Bureau of Labor Statistics

3:05 p.m. Simultaneous Calibration and Nonresponse

Adjustment—◆Eric V. Slud, University of Maryland

College park

; Yves Thibaudeau, U.S. Census Bureau

3:25 p.m. Collinearity Diagnostics for Complex Survey

Data—◆Dan Liao, University of Maryland

3:45 p.m.

Floor Discussion

2:05 p.m.

Biopharmaceutical Interactive Outreach—

Jeremy D. Jokinen, Johnson & Johnson

2:25 p.m. Automatic Analyses on the Web—◆Dan Rope, SPSS

2:45 p.m. First-Year Basics: Getting Started in College

Counseling Statistics—◆Fred Djang, Bristol-Myers

Squibb Company

3:05 p.m.

Innovative Ways to Convey Statistical Concepts to

Nonstatisticians—◆Anna B. Nevius, FDA; Alexei

A. Dmitrienko, Eli Lilly and Company

; Venkat S.

Sethuraman, Novartis ; Mani Y. Lakshminarayanan,

Merck & Co., Inc.

3:25 p.m.

Disc: Stephen Gulyas, Lilly Corporate Center

3:45 p.m. Floor Discussion

359 CC-142 n

Genome-Wide Association Approaches and

Their Roles to Identify Predictors for Drug

Development—Topic-Contributed

Biopharmaceutical Section, International Indian Statistical Association, Biometrics Section

Organizer(s): Sue-Jane Wang, FDA

Chair(s): Colin O. Wu, National Heart, Lung, and Blood Institute

2:05 p.m.

Statistical Aspects of Using Shared Controls in

Genome-Wide Association Studies—◆Dmitri

Zaykin, National Institute of Environmental

Health Sciences

2:25 p.m. Pathway Analysis by Adaptive Combination of

P-Values—◆Kai Yu, National Cancer Institute

2:45 p.m.

Identifying Predictors of Drug Efficacy in Clinical

Development Using Genome-Wide Association

Approach—◆Gbenga R. Kazeem, GlaxoSmithKline;

Silviu Bacanu, GlaxoSmithKline

; Nelson R. Matthew,

GlaxoSmithKline

; Magaret Ehm, GlaxoSmithKline;

Wang Sue-Jane, FDA

3:05 p.m. Two-Stage Procedures for Selecting the Best

Diagnostic Biomarkers—◆Aiyi Liu, National

Institute of Child Health and Human Development

3:25 p.m.

Genetic Association Analysis of Longitudinal and

Multivariate Phenotypes in Families—◆Qiong

Yang, Boston University

; Hongsheng Wu, Boston

University ; Chao-Yu Guo, Children’s Hospital

3:45 p.m. Floor Discussion

358 CC-102A n J

Innovative Methods for Conveying Statistical

Ideas to Nonstatisticians—Topic-Contributed

Committee on Outreach Education, Social Statistics Section,

Section on Government Statistics

Organizer(s): Owen J. Devine, CDC

Chair(s): Owen J. Devine, CDC

360 CC-209A n J

Savage Award Finalists—Topic-Contributed

Section on Bayesian Statistical Science

Organizer(s): Marina Vannucci, Rice University

Chair(s): Joseph G. Ibrahim, The University of North Carolina at Chapel Hill

2:05 p.m. Adaptive Bayesian P-Splines to Estimate Varying

Regression Coefficients: Application to Receptor

Occupancy Estimation—◆Astrid Jullion, UCB

Pharma

; Philippe Lambert, University of Liège;

François Vandenhende, ClinBAY

2:25 p.m. On the Analysis of Bayesian Semiparametric

IRT-Type Models—◆Alejandro Jara, Universidad de Concepción

; Ernesto San Martin, Department of Statistics and Measurement Center MIDE UC

Pontificia Universidad Católica de Chile

2:45 p.m. Functional Mixed Registration Models—

Donatello Telesca, The University of Texas M.D.

Anderson Cancer Center

; Lurdes Inoue, University of Washington

3:05 p.m. Some Extensions of the Polya Urn Scheme with

Bayesian Applications—◆Lorenzo Trippa, The

University of Texas M.D. Anderson Cancer Center

162 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:25 p.m. Disc: David Dunson, Duke University

3:45 p.m. Floor Discussion

3:25 p.m.

Disc: Andrew Hill, Wyeth Research

3:45 p.m. Floor Discussion

361 CC-101 n

Statistical Analysis Issues for Diagnostic

Devices—Topic-Contributed

Section on Statistics in Epidemiology

Organizer(s): Arkendra De, FDA; Vicki Petrides, Abbott Diagnostics

Chair(s): Vicki Petrides, Abbott Diagnostics

2:05 p.m. How Much Information Can a Genomic

Classifier Based on Gene Expression Add to

Models Based on Clinical Covariates Alone?—

Samir Lababidi, FDA

2:25 p.m. When is a Diagnostic Test Informative?—◆Lakshmi

Vishnuvajjala, FDA

2:45 p.m. Methods for Handling Missing Data from Diagnostic

Tests—◆Gene Pennello, FDA

3:05 p.m. Biomarker Evaluation Using Percentile Value

Standardization Approach with Event Time

Outcomes—◆Yuying Jin, University of Washington;

Margaret Pepe, University of Washington

; Yingye

Zheng, Fred Hutchinson Cancer Research Center

3:25 p.m. Estimating Cross-Validation Variability—◆Waleed A.

Yousef, Helwan University

; Weijie Chen, FDA

3:45 p.m. Floor Discussion

Topic-Contributed Panels

2:00 p.m.–3:50 p.m.

363 CC-155 n

ASA and NCTM Collaborations on a Shared

Vision for the Role of Statistics in Schools—

Topic-Contributed

ASA NCTM Joint Committee on Curriculum in Statistics and

Probability, Social Statistics Section

Organizer(s): Jerry Moreno, John Carroll University

Chair(s): Jerry Moreno, John Carroll University

Panelists:

Gary Kader, Appalachian State University

Pat Hopfensperger, Mequon School District

Roxy Peck, Cal Poly

Christine S. Franklin, The University of Georgia

3:45 p.m. Floor Discussion

Contributed Sessions

2:00 p.m.–3:50 p.m.

362 CC-204A n

Machine Learning and Computational

Inference for Diagnostic Devices—

Topic-Contributed

Section on Statistics in Epidemiology, Interface Foundation of

North America

Organizer(s): Shanti Gomatam, FDA

Chair(s): Timothy S. Davison, Almac Diagnostics Ltd.

364 CC-143A

Modeling Customer Lifetime Value and Social

Media Data—Contributed

Section on Statistics and Marketing

Chair(s): David Schweidel, University of Wisconsiin

2:05 p.m.

Classifier Variability: Accounting for Training and Testing—◆Weijie Chen, FDA; Brandon D.

Gallas, FDA

2:25 p.m. Supplementing a Validation Test Sample—

Frank W. Samuelson, FDA

2:45 p.m. Computational Intelligence-Based Data Mining for the Minimal Clinically Relevant Difference in the

Unified Parkinson’s Disease Rating Scale—◆Nitzan

Mekel-Bobrov, Boston Scientific Corporation

3:05 p.m. MDLR/MSV: An Algorithm for Mutation Detection

Microarray and Software for Mutation Signal

Visualization—◆Wei-min Liu, Roche Molecular

Systems, Inc.

; Aki Nakao, Roche Molecular Systems,

Inc.

; Li Qiu, Roche Molecular Systems, Inc.; Nancy

Patten, Roche Molecular Systems, Inc.

; Sim Truong,

Roche Molecular Systems, Inc.

; Lin Wu, Roche

Molecular Systems, Inc.

2:05 p.m. Scalable Analysis of Dyadic Data Using Dirichlet

Processes—◆Michael Braun, Massachusetts

Institute of Technology

; Andre Bonfrer,

Singapore Management University

2:20 p.m. Customer Engagement and Sales Conversion in a Social Media Context—◆Lynd D. Bacon, Loma

Buena Associates

; Danielle Murray, Shutterfly Inc.;

Peter Lenk, University of Michigan

2:35 p.m. A Multistage Approach to Estimating Customer

Lifetime Value—◆Heather M. Johnston, IBM;

A. M. Santos, IBM

2:50 p.m.

A Bias-Correction Procedure for Using Aggregate

Data to Proxy Individual Characteristics—

Jason Duan, The University of Texas at Austin

3:05 p.m. A Geometric Brownian Motion Model of Purchase

History Dynamics—Kalyan Raman, Northwestern

University ; ◆Edward C. Malthouse, Northwestern

University

Washington, DC 163

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:20 p.m.

Quantile Regression as a Tool for Identifying Drivers of Satisfaction and Dissatisfaction—◆Jorge A.

Alejandro, Market Probe

; Kurt A. Pflughoeft,

Market Probe

3:35 p.m. Optimization of Marketing Amount Allocation and

Marketing Personalization for a Set of Products in the Presence of Word of Mouth—◆Dmitri V.

Kuznetsov, Intellidyn Corp.

366 CC-159B

Methodological Advances for Spatial and

Temporal Studies—Contributed

Section on Statistics and the Environment, Section on Bayesian

Statistical Science

Chair(s): Dan Nordman, Iowa State University

365 CC-144B n

Measurement Errors, Outliers, and Influential

Observations in Surveys—Contributed

Section on Survey Research Methods

Chair(s): Clyde Tucker, Bureau of Labor Statistics

2:05 p.m.

Measurement Error Models for Physical Activity

Measures—◆Nicholas K. Beyler, Iowa State

University

; Sarah Nusser, Iowa State University;

Alicia L. Carriquiry, Iowa State University

; Gregory

Welk, Iowa State University

; Wayne Fuller, Iowa

State University

2:20 p.m. How Misclassification of Race/Ethnicity

Categories in Sampling Stratification Affects

Survey Estimates—◆Donsig Jang, Mathematica

Policy Research, Inc.

; Amang Sukasih, Mathematica

Policy Research, Inc.

; Kelly H. Kang, National

Science Foundation

; Stephen Cohen, National

Science Foundation

2:35 p.m. Estimating Response Bias and Response Variance

(Simple and Correlated) from Reinterviews—

Dhiren Ghosh, Synectics for Management

Decisions Inc.

2:50 p.m. Effects from Respondent Location on Telephone

Survey Estimates—◆Courtney Kennedy, University of Michigan

; Stephen E. Everett, The Everett Group;

Michael W. Traugott, University of Michigan

3:05 p.m. Using Statistical Models in the Sample Design for the Quality Control Reinterview Program—

Jianzhu Li, Westat, Inc.

; Michael J. Brick, Westat,

Inc.

; Phyllis Singer, U.S. Census Bureau; Bac Tran,

U.S. Census Bureau

3:20 p.m. Identifying Outliers When Creating an Imputation

Base for the Quarterly Financial Report—◆Melvin

J. McCullough, U.S. Census Bureau

; Terry L.

Pennington, U.S. Census Bureau

3:35 p.m. Identifying Sources of Survey Errors: The 2007

Classification Error Survey for the U.S. Census of Agriculture—◆Denise A. Abreu, National

Agricultural Statistics Service

; Jaki McCarthy,

National Agricultural Statistics Service

2:05 p.m.

On Shortest Prediction Intervals in Log-Gaussian

Random Fields—◆Victor De Oliveira, The University of Texas at San Antonio

; Changxiang Rui, University of Arkansas

2:20 p.m. Maximum Likelihood Estimation of Variance

Parameters in the Spatial Random Effects Model—

Matthias Katzfuss, The Ohio State University

;

Noel A. Cressie, The Ohio State University

2:35 p.m. Clipped Latent Variable Spatial Models for Ordered

Categorical Data—◆Megan D. Higgs, Montana

State University

; Jennifer Hoeting, Colorado

State University

2:50 p.m. Correcting for Signal Attenuation from Noise:

Sharpening the Focus on Past Climate—◆Marc

Genton, Texas A&M University ; Caspar Ammann,

National Center for Atmospheric Research ; Bo Li,

Purdue University

3:05 p.m. Cross-Covariance Functions for Multivariate

Random Fields Based on Latent Dimensions—

Tatiyana V. Apanasovich, Thomas Jefferson

University

; Marc Genton, Texas A&M University

3:20 p.m. Reversible Jump MCMC for Inference in a

Deterministic Individual-Tree-Based Growth

Model for Studying Forest Dynamics—◆Jarrett

Barber, University of Wyoming

; Darren E. Gemoets,

University of Wyoming ; Kiona Ogle, University of Wyoming

3:35 p.m. A Model-Based Analysis of Semicontinuous Spatial

Data—◆Virginia Recta, Penn State University;

Murali Haran, Penn State University ; James L.

Rosenberger, Penn State University

367 CC-153

Teaching the Fundamentals—Contributed

Section on Statistical Education

Chair(s): Kevin Henning, Texas Tech University

2:05 p.m. What Do Students Hear When We Say ‘Random’?:

Emipirical Results from a Study of Lexical

Ambiguity—◆Jennifer J. Kaplan, Michigan State

University

; Diane Fisher, University of Louisiana-

Lafayette

; Neal Rogness, Grand Valley State

University

2:20 p.m. Statistics-Based Calculus?—◆Patti F. Lock,

St. Lawrence University

2:35 p.m. Teaching Probability and Combinatorics Using

Lotteries—◆Patricia B. Humphrey, Georgia

Southern University

164 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:50 p.m. Two Language-Based Examples for Use in the

Statistics Classroom—◆Roger Bilisoly, Central

Connecticut State University

3:05 p.m.

Why We Should Teach Introductory Applied

Statistics Courses Backwards—◆Bill Rybolt,

Babson College

3:20 p.m.

Moment-Generating Functions for Tenable

Two-Label Polya Urns—◆Kyle Whittaker, The

George Washington University

; Katharine Gurski,

Howard University

3:35 p.m. Understanding the Central Limit Theorem Through

Visualizations—◆Tower Chen, University of Guam

368 CC-148 n

Modeling and Process Control—Contributed

Section on Quality and Productivity

Chair(s): Chengxing Lu, CDC

2:05 p.m. Bayes-Type Test for Constancy of Parameters in Logistic Model—◆Yukan Wu, University of

Maryland, Baltimore County

; Nagaraj K. Neerchal,

University of Maryland, Baltimore County

2:20 p.m. Additive Models in Regression Problems—◆Mehdi

Kiani, Athens University of Economics and Business

2:35 p.m. Supersaturated Designs: Are Our Results

Significant?—◆David Edwards, Virginia

Commonwealth University

; Robert W. Mee,

The University of Tennessee

2:50 p.m. Design and Analysis of Mixture-of-Mixture

Experiments—◆Lulu Kang, Georgia Institute of

Technology

; Roshan V. Joseph, Georgia Institute of Technology

; William A. Brenneman,

Procter & Gamble

3:05 p.m.

Profile-Monitoring Analysis with Fixed and Random

Effects Using Nonparametric and Semiparametric

Methods—◆Abdel-Salam G. Abdel-Salam, Virginia

Polytechnic Institute and State University ; Jeffrey B.

Birch, Virginia Polytechnic Institute and

State University

3:20 p.m. A Readjustment and Rectifying Action in the

Integrated Process Control—◆Changsoon Park,

Chung-Ang University

; Jaeheon Lee, Chung-Ang

University

3:35 p.m. CUSUM Charts for Monitoring Lifetime Data—

Denisa A. Olteanu, Virginia Polytechnic Institute and State University

; Geoff G. Vining, Virginia

Polytechnic Institute and State University

369 CC-158B

Nonparametric Methods for Department Data—

Contributed

Section on Nonparametric Statistics

Chair(s): Mohsen Pourahmadi, Northern Illinois University

2:05 p.m. Resampling-Based Bias-Corrected Time

Series Prediction—◆Soutir Bandyopadhyay,

Texas A&M University

2:20 p.m. On Confidence Intervals for the Mean of a Long-

Range Dependent Process—◆Zhewen Fan,

University of Illinois at Urbana-Champaign

; Xiaofeng

Shao, University of Illinois at Urbana-Champaign

2:35 p.m. Nonparametric Estimation for Multivariate Lèvy

Processes—◆Roger Laeven, Tilburg University

2:50 p.m. Dependence Calibration in Conditional Copulas:

A Nonparametric Approach—◆Elif F. Acar,

University of Toronto

; Radu Craiu, University of

Toronto ; Fang Yao, University of Toronto

3:05 p.m. Cox-McFadden Marginal Likelihood for Clustered

Proportional Hazards—◆Jan Ondrich,

Syracuse University

3:20 p.m. Time Series Factorial Models with Uncertainty

Measures: Applications to ARMA Processes and

Financial Data—◆Carole Toque, University of

Luxembourg

; Virginie Terraza, University of Luxembourg

3:35 p.m. Bayesian Wavelet-Based Transformation for

Inducing Normality from Non-Gaussian Long

Memory Time Series—◆Kyungduk Ko,

Boise State University

370 CC-159A

Nonparametric Estimation and Testing—

Contributed

Section on Nonparametric Statistics

Chair(s): Ursula U. Müller-Harknett, Texas A&M University

2:05 p.m. Generalized Wilcoxon Test for Interval-Censored

Failure Time Data—◆Chinsan Lee, Shu-Te

University of Technology

2:20 p.m. Nonparametric Assessment of Effectiveness in the Presence of Interactions Between

Treatment Options and Cost Using Censored

Data—◆Mohammad H. Rahbar, The University of Texas Health Science Center at Houston

;

Joseph C. Gardiner, Michigan State University

;

Md Monir Hossain, The University of Texas Health

Science Center at Houston ; Hooshang Talebi,

University of Isfahan

2:35 p.m. Multiple Imputation Based on Restricted Mean

Models for Censored Survival Data—◆Lyrica

Xiaohong Liu, University of Michigan

; Susan

Murray, University of Michigan

; Alexander

Tsodikov, University of Michigan

Washington, DC 165

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:50 p.m. Self-Consistent Estimators Based on Doubly

Censored Data—◆Meng Zhao, Mississippi

State University

; Karunarathna Kulasekera,

Clemson University

3:05 p.m. Testing for Shape-Restricted Hazard Function

Using Resampling Techniques—◆Desale Habtzghi,

University of Akron

; Somnath Datta, University of

Louisville

; Mary C. Meyer, Colorado State University

3:20 p.m. Nonparametric Calibration of Two Common

Antimicrobial Susceptibility Tests Based on

Interval-Censored Data with Measurement Error—

Bruce A. Craig, Purdue University ; Xiaoli Qi,

Oracle Corporation

3:35 p.m. Floor Discussion

371

Nonparametric Models I—Contributed

Biometrics Section

Chair(s): Sarah Ratcliffe, University of Pennsylvania

CC-203A

2:05 p.m. Generalized Functional Latent Feature Models in Colon Carcinogenesis Data—◆Yehua Li,

The University of Georgia

; Naisyin Wang,

Texas A&M University ; Raymond J. Carroll,

Texas A&M University

2:20 p.m. Estimation in Covariate-Adjusted Nonlinear

Regression Models—◆Esra Kurum, Penn State

University ; Damla Senturk, Penn State University

2:35 p.m.

A B-Spline–Based Semiparametric Nonlinear

Mixed Effects Model—◆Angelo Elmi, University of Pennsylvania ; Sarah Ratcliffe, University of

Pennsylvania

; Wensheng Guo, University of

Pennsylvania

; Samuel Parry, University of Pennsylvania

2:50 p.m.

Maximum Likelihood Estimation Using Spline

Smoothing for the Accelerated Failure Time

Model—◆Ying Ding, University of Michigan;

Bin Nan, University of Michigan

3:05 p.m. Choosing a Variance Function in Semiparametric

Analysis of Overdispersed Count Data—

Sudhir R. Paul, University of Windsor

3:20 p.m. Nonparametric Methodology for the Time-

Dependent Partial Area Under the ROC Curve—

Chin-Tsang Chiang, National Taiwan University

3:35 p.m. Lack of Fit in Self-Modeling Regression—

Lyndia C. Brumback, University of Washington

372 CC-208A n

Bayesian Methods for Gene Expression and

Microarrays—Contributed

Section on Bayesian Statistical Science

Chair(s): Niko Kaciroti, University of Michigan

2:05 p.m. Modeling the Spatial Structure in Microarray Data—

Vinicius D. Mayrink, Duke University

; Joseph E.

Lucas, Duke Institute for Genome Science and Policy

2:20 p.m. Bayesian Analysis of iTRAQ Data with Nonrandom

Missing: Identification of Differentially Expressed

Proteins—◆Ruiyan Luo, Yale University; Hongyu

Zhao, Yale University

2:35 p.m. A Bayesian Approach to the Quantification of

Protein Lysate Arrays—◆E. Shannon Neeley,

Brigham Young University ; C. Shane Reese,

Brigham Young University

2:50 p.m. Bayesian Modeling of ChIP-Chip Data via a

Modified Ising Model—◆Qianxing Mo, Memorial

Sloan-Kettering Cancer Center

; Faming Liang,

Texas A&M University

3:05 p.m. Testing Multiple Hypotheses on a Gene Ontology

Graph—◆Kun Liang, Iowa State University;

Dan Nettleton, Iowa State University

3:20 p.m. Bayesian Hierarchical Model of Gene Expression and Methylation Data Through EM Algorithm—

Jaesik Jeong, Indiana University Purdue University

Indianapolis

3:35 p.m. A Modified Statistical Method for Identifying

Differentially Expressed Genes—◆Zhao Chen,

Florida Gulf Coast University

373

Genome-Wide Association Studies—

Contributed

Biometrics Section

Chair(s): Jichun Xie, University of Pennsylvania

CC-203B

2:05 p.m. A New Population Size Model for Two-Dimensional

Gel Electrophoresis in Proteomics—◆Changxuan

Mao, AT&T Labs - Research

2:20 p.m. Distributions of Within-Family Genetic Variances—

Anne M. Millar, Mount Saint Vincent University

2:35 p.m. Using Cases from Genome-Wide Association

Studies to Strengthen Inference on the Association

Between Single Nucleotide Polymorphisms and a

Secondary Phenotype—◆Huilin Li, National Cancer

Institute

; Mitchell H. Gail, National Cancer Institute

2:50 p.m. Improving Differential Expression Analysis with the Consideration of Genome-Wide Co-Expression

Information—◆Yinglei Lai, The George

Washington University

Washington, DC 167

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:05 p.m. Gene-Gene Interaction Analysis for the Association

Studies via Multifactor Dimensionality Reduction

Method—Taesung Park, Seoul National University;

Jaehoon Lee, Seoul National University

; Sohee

Oh, Seoul National University

; Kyunga Kim, Seoul

National University ; Kwon Min-Seok, Seoul

National University

3:20 p.m. Nonmetric Multidimensional Scaling to Correct for

Population Stratification in Association Studies—

Kelci J. Miclaus, SAS Institute Inc./North Carolina

State University

3:35 p.m.

Determining Chromatin Features from Genome-

Wide Tiling Arrays Using Continuous Time Hidden

Markov Models—◆Ritendranath Mitra, The

University of North Carolina at Chapel Hill

374 n

Bayesian Learning, Smoothing, and

Dimension Reduction—Contributed

Section on Bayesian Statistical Science

Chair(s): Robert B. Gramacy, University of Cambridge

CC-208B

2:05 p.m. A Bayesian Multiscale Model for Smoothing Images

Using the Chinese Restaurant Process—◆John T.

White, North Carolina State University

2:20 p.m. Bayesian Hazard Rate Estimation and Sufficient

Dimension Reduction—◆Shraddha S. Mehta,

Purdue University ; Surya T. Tokdar, Carnegie Mellon

University

; Jayanta K. Ghosh, Purdue University;

Bruce A. Craig, Purdue University

2:35 p.m. Bayesian Principal Component Regression with

Data-Driven Components Selection—◆Liuxia

Wang, Sentrana Inc.

2:50 p.m. Bayesian Adaptive Ensemble Learning—◆Sounak

Chakraborty, University of Missouri-Columbia

3:05 p.m. Bayesian Flexible Joint Modeling of Survival and

Curve Predictors—◆Xiaohui Wang, The University of Texas Pan American

; Veera Baladandayuthapani,

The University of Texas M.D. Anderson Cancer

Center

; Bani K. Mallick, Texas A&M University;

Kim-Anh Do, The University of Texas M.D.

Anderson Cancer Center

3:20 p.m. Semiparametric Bayes Local Additive Models for

Longitudinal Data—◆Zhaowei Hua, The University of North Carolina at Chapel Hill ; David Dunson,

Duke University

3:35 p.m. Bayesian Adaptive Nearest Neighbor

Classification—◆Ruixin Guo, University of

Missouri

; Sounak Chakraborty, University of

Missouri-Columbia

375

Variable Selection and Model Selection—

Contributed

IMS

Chair(s): Sijian Wang, University of Wisconsin-Madison

376 CC-149B

Diffusion Processes Estimation and Financial

Markets—Contributed

Business and Economic Statistics Section

Chair(s): Jimmy Efird, UNCG

CC-157

2:05 p.m. Variable Selection in Multivariate Linear Regression

Models with Fewer Observations Than the

Dimension—◆Mariko Yamamura, Kitasato

University ; Hirokazu Yanagihara, Hiroshima

University

; Muni S. Srivastava, University of Toronto

2:20 p.m. Variable Selection for High-Dimensional Data:

Sparse MAVE—◆Qin Wang, The University of

Georgia

; Xiangrong Yin, The University of Georgia

2:35 p.m. Distinguishing Between Parametric and

Nonparametric Regression Scenarios with a

Consistent Model Selection Procedure—◆Wei Liu,

The University of Minnesota-Twin Cities

; Yuhong

Yang, The University of Minnesota-Twin Cities

2:50 p.m. Optimal Combining of Regression Procedures—

Chihche Lin, Astellas Pharma Global

Development, Inc.

3:05 p.m. A Simple Selection of Smoothing Parameter in

3:35 p.m.

Penalized Spline Regression—◆Hironori Fujisawa,

The Institute of Statistical Mathematics

3:20 p.m. Two-Stage Sensitivity-Based Group Screening in

Computer Experiments—◆Hyejung Moon, The Ohio

State University

; Thomas Santner, The Ohio State

University

; Angela Dean, The Ohio State University

Statistical Models for Mechanical Malfunction

Detection Based on Vibration Data—◆Lei Jin,

McNeese State University

2:05 p.m. Parameter Estimation for Multivariate Stochastic

Differential Equations—◆Shan Yang, Iowa State

University

; Song Xi Chen, Iowa State University

2:20 p.m.

Automatic Time Series Model Selection—◆Dongik

Jang, Seoul National University ; Hee-Seok Oh, Seoul

National University

2:35 p.m. Multifrequency Forecasting with SAS High-

Performance Forecasting Software—◆Michele A.

Trovero, SAS Institute Inc.

; Ed Blair, SAS Institute

Inc.

; Micheal J. Leonard, SAS Institute Inc.

2:50 p.m. The Return and Volatility Distribution for the DAX

Index—◆Yasemin Ulu, Temple University

3:05 p.m. Econometric Analysis via Filtering for Financial

Ultra-High Frequency Data—◆Yong Zeng, University of Missouri-Kansas City

Washington, DC 169

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:20 p.m. The Stationary, Continuous Time, Discrete

Space (SCD) Model with Polya Tree for Micro

Data Analysis in Finance—◆Masaru Hashimoto,

Mitsubishi UFJ Securities

; Peter Lenk, University of Michigan

3:35 p.m. Predicting the Present (with Google Trends)—

Hyunyoung Choi, Google, Inc.

; Hal Varian,

Google, Inc.

377 CC-201 n

Application of Innovative Design and Analysis in Clinical Trials—Contributed

Biopharmaceutical Section

Chair(s): Dionne Price, FDA

2:05 p.m.

Primary Efficacy Endpoint in Clinical Trials of

Antiepileptic Drugs: Change or Percent Change—

Ohidul Siddiqui, FDA

2:20 p.m. A Methodological Perspective of Predicting

Circadian Fluctuations of 24-Hour Ambulatory

Blood Pressure: A New Look to ABPM Analyses in Cardiovascular Clinical Trials—◆D. Das

Purkayastha, Novartis Pharmaceuticals

2:35 p.m. Flexibility and Integrity Planning in Phase IIb,

2-Stage Adaptive Dose-Ranging Acute Migraine

Trials—◆Christopher Assaid, Merck & Co., Inc.;

Frank (Xiaoyin) Fan, Merck & Co., Inc.

; Joy (Yang)

Ge, Merck Research Laboratories

2:50 p.m. Effects of Sources of Variability on Sample Sizes

Required for RCTs, Applied to Trials of Lipid-

Altering Therapies on Carotid Artery Intima-

Media Thickness (cIMT)—◆A. Lawrence Gould,

Merck Research Laboratories

; Joerg Koglin, Merck

Research Laboratories

; Ray Bain, Merck Research

Laboratories

; Cathy-Anne Pinto, Merck Research

Laboratories ; Yale B. Mitchel, Merck Research

Laboratories

; Richard C. Pasternak, Merck

Research Laboratories

3:05 p.m. Design of Early Treatment Trials in Alzheimer’s

Disease Through Cohort Enrichment and Surrogate

Endpoints—◆Eric A. Macklin, Massachusetts

General Hospital/Harvard Medical School

; Deborah

L. Blacker, Massachusetts General Hospita/Harvard

Medical School ; Bradley T. Hyman, Massachusetts

General Hospital/Harvard Medical School

; Rebecca

Betensky, Harvard School of Public Health

3:20 p.m. The Use of the Third Quartile of Placebo Responses in Assessment of Drug Abuse Potential—◆Ling

Chen, FDA

3:35 p.m. Modeling Smoking Cessation Data with Alternating

States and a Cure Fraction Using Frailty Models—

Yimei Li, University of Pennsylvania

; Paul E.

Wileyto, University of Pennsylvania

; Daniel F.

Heitjan, University of Pennsylvania

Poster Presentations

2:00 p.m.–3:50 p.m.

378 CC-Hall D n

Topic-Contributed Oral Poster Presentations:

Gene Expression and Analysis—

Topic-Contributed

Biometrics Section

Organizer(s): Ji Zhu, University of Michigan

Chair(s): Lara Schmidt, RAND Corporation

Biometrics, bioinformatics, computational biology

01 Dimension Reduction in the Study of Genetics of Gene

Expression—◆Qiang Guo, Oklahoma State University;

Stephanie A. Santorico, University of Colorado

02 Bayesian Detection of SNP Interactions Associated with Type-1 Diabetes—◆Jing Zhang, Harvard

University ; Yu Zhang, Penn State University;

Jun S. Liu, Harvard University

03 Unifying Gene Expression Measures Using Factor

Analysis—◆Xin V. Wang, University of California, Berkeley;

Terence P. Speed, University of California, Berkeley

04 Parameter Selection and Assessment in Prediction—

Ian A. Wood, University of Queensland

05 Methods for Genomic Data Integration—◆Joseph Beyene,

University of Toronto

; Elena Parkhomenko, Hospital for

Sick Children

; Jemila S. Hamid, Hospital for Sick Children;

David Tritchler, University of Toronto

06 Modeling Three-Dimensional Chromosome Structures

Using Gene Expression Data—◆Guanghua Xiao, The

University of Texas Southwestern Medical Center at Dallas ;

Xinlei Wang, Southern Methodist University ; Arkady

Khodursky, The University of Minnesota

07 A New Test for Significant Quantitative Trait Loci Effect—

Pradeep Singh, Southeast Missouri State University ;

Dayana Dominic, Southeast Missouri State University

;

Kuldeep K. Saxena, CCS Haryana Agricultural University

379 CC-Hall D n

Topic-Contributed Oral Poster Presentations:

Microarray Data—Topic-Contributed

Biometrics Section, ENAR, WNAR

Organizer(s): Ji Zhu, University of Michigan

Chair(s): Lara Schmidt, RAND Corporation

Biometrics, bioinformatics, computational biology

08 Cost-Efficient Designs Based on Linearly Associated

Biomarkers—◆Changxing Ma, State University of New

York at Buffalo

; Albert Vexler, New York State University at

Buffalo ; Lili Tian, State University of New York at Buffalo;

Enrique Schisterman, National Institutes of Health

170 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

09 Randomized P-Values with Applications in Multiple

Testing—◆Josh Habiger, University of South Carolina;

Edsel A. Pena, University of South Carolina

10 Identifying Important Predictors Using L1 Penalized

Models and Random Forests—◆Kellie J. Archer, Virginia

Commonwealth University

11 Supervised Classification of Microarray Data Using

Enriched Ensemble Classifiers—◆Yung-Seop Lee,

Dongguk University

; Dhammika Amaratunga, Johnson &

Johnson Pharma ; Javier Cabrera, Rutgers University

12 Analysis of MicroRNA Data—◆Andre A.A. Williams,

Virginia Commonwealth University

; Kellie J. Archer,

Virginia Commonwealth University

13 Statistical Modeling for Oligonucleotide Arrays Using

PCA with Likelihood Approach—◆Mehdi Maadooliat,

Texas A&M University

; Jianhua Hu, The University of

Texas M.D. Anderson Cancer Center ; Jianhua Huang,

Texas A&M University

14 Normalization of Microarray Data Using Multivariate

Methods—◆Mark Reimers, Virginia Commonwealth

University

15 Biomarker Detection Methods When Combining Multiple

Multi-Class Microarray Studies—◆Shu-Ya Lu, University of Pittsburgh

16 Multivariate Analysis of Variance Test for Gene Set

Analysis—◆Chen-An Tsai, China Medical University;

James Chen, National Center for Toxicological Research

17 Using Exon Microarrays to Predict Breast Cancer

Occurrence—◆William E. Johnson, Brigham Young

University ; Ying Sun, The University of Utah; Andrea Bild,

The University of Utah

18 A Detection Method for Identifying the Shared Targets of

Multiple DNA-Binding Proteins from

ChIP-chip Tiling Array Data—◆Nancy N. Wang,

University of California, Berkeley

19 Support Vector Machines with Disease-Gene-Centric

Network Penalty for High-Dimensional Microarray Data—

Yanni Zhu, The University of Minnesota ; Wei Pan,

The University of Minnesota

; Xiaotong Shen, The

University of Minnesota

20 A Distribution for p-Values—◆Daniel Zelterman,

Yale University

; Chang Yu, Vanderbilt University

School of Medicine

21 Composite Likelihood Modeling of Neighboring Site

Correlations of DNA Sequence Substitution Rates—◆Dirk

F. Moore, University of Medicine and Dentistry of New

Jersey

; Ling Deng, Johnson & Johnson

22 Using Distributions for p-Values in the Two-Component

Mixture Models to Estimate the Proportion from Null—

Chang Yu, Vanderbilt University School of Medicine

;

Daniel Zelterman, Yale University

23 Bayesian Analysis of Microarray Experiments with Multiple

Sources of Variation: A Mixed Model Approach—◆Cumhur

Y. Demirkale, Iowa State University

; Dan Nettleton, Iowa

State University

; Tapabrata Maiti, Michigan State University

380

Biometrics Section

Chair(s): Lara Schmidt, RAND Corporation

CC-Hall D

Contributed Oral Poster Presentations—

Contributed

Biometrics, bioinformatics, computational biology

24 Statistical and Numerical Dependence in Gene Expression

Summaries—◆John R. Stevens, Utah State University;

Gabriel Nicholas, University of Wisconsin-Madison

Reliability and survival modeling, risk analysis

25 Real-Time Evaluation of Incubation Period Distributions in an Epidemic—◆Nicholas G. Reich, Johns Hopkins

Bloomberg School of Public Health

; Ron Brookmeyer,

Princeton University

Clinical Trial Designs

26 Correction for Two-Group Sample Size Calculation with

Uncertain Group Membership—◆Hung-Mo Lin, Mt. Sinai

School of Medicine

; Shannon K. McClintock, CDC; John M.

Williamson, CDC

Biometrics, bioinformatics, computational biology

27 Sample Size Calculation for a Mixture of Discrete and

Continuous Endpoints—◆Yolanda Munoz Maldonado,

Michigan Technological University

; Sarah M. Baraniuk,

The University of Texas Health Science Center at Houston ;

Lemuel A. Moye, The University of Texas Health Science

Center at Houston

Clinical Trial Designs

28 Sample Size Re-Estimation for Poisson Distributed

Variables with Partial Follow-Up—◆Jeannette Y. Lee,

University of Arkansas for Medical Sciences

; Page C. Moore,

University of Arkansas for Medical Sciences

; Shelly Lensing,

University of Arkansas for Medical Sciences

Health policy, epidemiology, public health

29 Item Development from the Promis Physical Functioning

Scale—◆Man Hung, The University of Utah; Charles

Saltzman, The University of Utah ; Daniel Clegg, The

University of Utah

; Tom Greene, The University of Utah

Biometrics, bioinformatics, computational biology

30 Evidence That Oligonucleotide Expression Values Are Not

Normally Distributed—◆Jason Wilson, Biola University

31 From Constructing the Age-Specific Reference

Range to the Disease Outcome Study—◆Chong Y. Fu,

National Yang Ming University

; Ya-Wen Yang, National

Yang Ming University

; Hsin-Yi Huang, National Yang Ming

University

; Shih-Hua Liu, National Yunlin University of

Science & Technology

Washington, DC 171

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Mathematical statistics, distribution theory, robust statistics

32 An Inequality About Principal Component and

Regression—◆Andreas A. Artemiou, Penn State University;

Bing Li, Penn State University

Incomplete data analysis, imputation methods

41 Statistical Methods to Account for Data Errors Discovered from an Audit—◆Bryan E. Shepherd, Vanderbilt University;

Chang Yu, Vanderbilt University School of Medicine

Health policy, epidemiology, public health

33 Efficient Sampling in Case-Control Studies—◆Ashlyn

H. Munson, Colorado School of Mines

; William Navidi,

Colorado School of Mines

Biometrics, bioinformatics, computational biology

34 Age Estimation Techniques in Facial Recognition—

Fernando Schiefelbein, The University of North Carolina at Wilmington

Biometrics, bioinformatics, computational biology

42 Logit-Based Confidence Intervals for Single Capture-

Recapture Estimation—◆Mauricio Sadinle, Universidad

Nacional de Colombia

43 Peptide/Protein Identification Based on Clustered Tandem

Mass Spectrometry Data and Bayesian Model Selection—

Soyoung Ryu, University of Washington

; Vladimir Minin,

University of Washington ; Dave Goodlett, University of

Washington

Health policy, epidemiology, public health

35 Estimating Transmission Parameters for Infectious

Diseases Using Social Contact Data—◆Niel Hens, Hasselt

University

; Nele Goeyvaerts, Hasselt University; Benson

Ogunjimi, University of Antwerp

; Olivier Lejeune, University of Antwerp

; Marc Aerts, Hasselt University; Philippe

Beutels, University of Antwerp

Biometrics, bioinformatics, computational biology

36 Multivariate Analysis of EEG Sleep Patterns of Neonates—

Alexandra Piryatinska, San Francisco State University

Longitudinal data, repeated measurements, and meta-analysis

44 A Hot-Deck Multiple Imputation Procedure for Gaps in Longitudinal Event Histories Based on Multivariate

Predictive Mean Matching—◆Chia-Ning Wang, University of Michigan

; Roderick J.A. Little, University of Michigan;

Bin Nan, University of Michigan

; Sioban Harlow, University of Michigan

45 Two-Sample Test of Longitudinal Data with Unequal

Observation and Termination Times Based on a Marked

Point Process—◆Jinheum Kim, University of Suwon;

Chung Mo Nam, Yonsei University ; Yang-Jin Kim, Ewha

Woman’s University

Health policy, epidemiology, public health

37 Frequency Matching and Balance in Case-Control Studies:

Quantifying the Efficiency Loss of Robust but Suboptimal

Design Strategies—◆Jennifer L. Wilcock, University of

Auckland

; Alan J. Lee, University of Auckland

Health policy, epidemiology, public health

46 Unconditional Exact Test for Comparison of Two Poisson

Means—◆Huey-Miin Hsueh, National Chengchi University;

MingTe Liu, Tatung Institute of Commerce and Technology

Mathematical statistics, distribution theory, robust statistics

38 Two-Sided Hypothesis Testing Based on Pool Screening with Unequal Pool Sizes—◆Hongjiang Gao, The University of Alabama at Birmingham

; Inmaculada Aban, The

University of Alabama at Birmingham

; Charles R. Katholi,

The University of Alabama at Birmingham

Incomplete data analysis, imputation methods

47 The Effect of Imputation Misspecification for Incomplete

Predictor Time-to-Event Regression Models—James

Henle, Smith College

; ◆Portia Parker, Smith College;

Nicholas Horton, Smith College ; Shannon McDonough,

Smith College

Computational statistics, numerical methods, simulation

39 Three Algorithms and SAS Macros for Estimating Power and Sample Size for Logistic Models with One or More

Independent Variables of Interest in the Presence of

Covariates—◆D. Keith Williams, University of Arkansas for

Medical Sciences

; Zoran Bursac, University of Arkansas for

Medical Sciences

; Terri Wooten, University of Arkansas for

Medical Sciences

Clinical trials, drug discovery

48 The Use and Abuse of Multiple Outcomes in Randomized

Controlled Trials of Depression—◆Kristin M. Tyler, Smith

College

; Nicholas Horton, Smith College

Clinical trials, drug discovery

40 Causal Inference in a Randomized Trial with

Noncompliance and Administrative Censoring—◆Hui Nie,

University of Pennsylvania

Longitudinal data, repeated measurements, and meta-analysis

49 Latent Class-Profile Analysis for Modeling Stage-

Sequential Processes of Drug-Taking Behaviors—

Hwan Chung, Michigan State University

50 A Markov Transition Model to Dementia with Death as a Competing Event—◆Liou Xu, University of Kentucky;

David Snowdon, University of Kentucky

; Richard J. Kryscio,

University of Kentucky

172 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Linear models, GLMs, parametric methods

51 Sample Size for Testing Interaction Hypothesis in the Cox

Regression Model—◆Abu Minhajuddin, The University of

Texas Southwestern Medical Center at Dallas

; Xian-Jin Xie,

The University of Texas Southwestern Medical Center at Dallas

381 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

Section on Quality and Productivity

Chair(s): Lara Schmidt, RAND Corporation

Biometrics, bioinformatics, computational biology

52 An Exact Test to Detect Geographic Aggregations of

Events—◆Rhonda J. Rosychuk, University of Alberta;

Jason L. Stuber, Mathematical Sciences Inc.

Longitudinal data, repeated measurements, and meta-analysis

53 Three-Level Mixed Model with Heterogeneous Within-

Subject Variances—◆Sharada Modur, The Ohio State

University

; Elizabeth Stasny, The Ohio State University;

Christopher Hans, The Ohio State University

Clinical trials, drug discovery

54 Achieving the Benefits of an Internal Pilot with Interim

Analysis While Controlling Type I Errors for Gaussian

Linear Models—◆John A. Kairalla, University of Florida;

Keith E. Muller, University of Florida ; Christopher S. Coffey,

The University of Alabama at Birmingham

55 Adaptive Prediction in Genomic Signatures--Based Clinical

Trials—◆Yang Xie, The University of Texas Southwestern

Medical Center at Dallas

; Guanghua Xiao, The University of Texas Southwestern Medical Center at Dallas

; Chul W.

Ahn, The University of Texas Southwestern Medical Center at Dallas

; Luc Girard, The University of Texas Southwestern

Medical Center at Dallas ; John Minna, The University of

Texas Southwestern Medical Center at Dallas

Biometrics, bioinformatics, computational biology

56 Informative Retesting—◆Christopher R. Bilder, University of Nebraska-Lincoln

; Joshua M. Tebbs, University of South

Carolina

; Peng Chen, Takeda Pharmaceuticals

Longitudinal data, repeated measurements, and meta-analysis

57 Multiple Comparisons of Mean Response Profiles in

Longitudinal Studies—◆Ramu Sudhagoni, South Dakota

State University

; Gemechis Djira, South Dakota State

University

QC, operation research, risk assessment

59 Decomposition of a Test Statistic Used in Monitoring

Process Variability—◆John C. Young, Retired; Robert L.

Mason, Southwest Research Institute

; Youn-Min Chou, The

University of Texas at San Antonio

60 Repeated Classification Subject to Errors in Process

Control—◆Michelle L. Smith, Eastern Kentucky University;

William S. Griffith, University of Kentucky

Bootstrap, resampling methods

61 Using the Bootstrap for Analysis Unreplicated Two-Level

Designs—◆Maher B. Qumsiyeh, University of Dayton;

Gerald J. Shaughnessy, University of Dayton

QC, operation research, risk assessment

62 A Double Multivariate Exponentially Weighted Moving

Average Control Chart—Jay Schaffer, University of

Northern Colorado ; ◆Saad Alkahtani, University of

Northern Colorado

63 Determining the Factors That Affect the Fuel Consumption in F-4 Aircrafts by 2^k Experiments and Taguchi

Method—◆Berna Yazici, Anadolu University;

Senol Kasap, Air Force Command

Bootstrap, resampling methods

64 Heteroscedasticity and Non-Normality in Regression:

A Parametric Approach—◆Fassil Nebebe,

Concordia University

Sampling and survey methodology

65 Data Security for a CAPI Survey—◆Martin Wulfe,

Macro International, Inc.

382

Contributed Oral Poster Presentations—

Contributed

Section on Risk Analysis

CC-L Street Bridge

Chair(s): Lara Schmidt, RAND Corporation Spatial statistics, spatio-temporal modeling, GIS

58 Hierarchical Dynamic Modeling of Spatial-Temporal Binary

Data—◆Yanbing Zheng, University of Kentucky; Jun Zhu,

University of Wisconsin-Madison ; Brian Aukema, Canadian

Forest Service/University of Northern British Columbia

Health policy, epidemiology, public health

66 Large-Scale Covariates Increase Prediction Accuracy of Health-Related Risk Models—◆Demosthenes

Panagiotakos, Harokopio University

; Vasileios Maroulas,

The University of Minnesota

; Anthony P. Fitzgerald,

University College Cork

Washington, DC 173

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Reliability and survival modeling, risk analysis

67 Shelf Life Assessment Based on Threshold Parameter

Estimation—◆Michael E. Tarter, University of California,

Berkeley

; Guangwei Huang, Technical and Scientific Affairs

Almond Board of California

Reliability and survival modeling, risk analysis

75 Multiple Comparisons for Weibull Shape Parameters and Percentiles—◆John McCool, Penn State University-

Great Valley

Business, financial, and marketing statistics

68 Comparing the Upperbounds for the Tail of the

Compound Negative Binomial Distribution—

Kumer P. Das, Lamar University

Health policy, epidemiology, public health

69 Bayesian Model-Averaging Approach in Health

Effects Studies: Sensitivity Analyses Using PM10 and

Cardiopulmonary Hospital Admissions in Allegheny

County, PA, and Simulated Data—◆Ya-Hsiu Chuang,

University of Pittsburgh

; Sati Mazumdar, University of Pittsburgh

Time series, wavelet analysis, signal processing

76 A Multivariate Time Series Analysis for the Climate

Modeling: The Solar-Terrestrial Relation—◆Elizabeth

Martínez-Gómez, National Autonomous University of Mexico ; Victor M. Guerrero, Instituto Tecnológico

Autónomo de México

; Francisco Estrada, Centro de

Ciencias de la Atmósfera

QC, operation research, risk assessment

77 The Use of T-Squared Control Charts for Process-Driven

Studies—◆Maria Weese, The University of Tennessee

Reliability and survival modeling, risk analysis

70 Cox Proportional Hazards Model with Brownian-Like

Predictor—◆Yulei Zhang, Columbia University; Ian

McKeague, Columbia University

Engineering and physical sciences, chemometrics

78 Inference with Censored Degradation Data—◆Yang Yang,

University of Michigan

; Vijay Nair, University of Michigan

79 Statistical Analysis of Microbial Diversity of Anaerobic

Granules in Starch Wastewater Treatment Plant—◆Wei

Wei, University of Puerto Rico-Mayaguez

; Bo Hu, University of Puerto Rico-Mayaguez

Applications and case studies

71 Multivariate Modeling of Wind Speed Maxima—◆Pál

Rakonczai, Lund Institute of Technology ; Nader Tajvidi,

Lund Institute of Technology

; András Zempléni, Eötvös

Loránd University

Probability, stochastic processes

80 Explicit and Efficient Estimation for a Flexible Class of Stochastic Differential Equation Models—◆Julie L.

Forman, University of Copenhagen

; Michael Sørensen,

University of Copenhagen

Semiparametric and nonparametric methods

72 The Use of Semiparametric Regression in Automobile

Insurance Pricing—◆Wehrli E. Perez Caicer, Ecuadorean

Statistical Society

Time series, wavelet analysis, signal processing

81 Prediction Algorithm Using a Widely Lineal Processing—

Rosa M. Fernandez-Alcala, University of Jaen ; Javier

Moreno-Kayser, University of Jaen

; Jesus Navarro-Moreno,

University of Jaen

; Juan C. Ruiz-Molina, University of Jaen

Biometrics, bioinformatics, computational biology

73 Variable Selection in Competing Risks Using the L1

Penalized Cox Model—◆Xiangrong Kong, Johns

Hopkins University ; Kellie J. Archer, Virginia

Commonwealth University

Engineering and physical sciences, chemometrics

82 Statistical Behavior of Pedestrians Under Panic—

Guillermo Frank, University of Buenos Aires

; Claudio

Dorso, University of Buenos Aires

383 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

Section on Physical and Engineering Sciences

Chair(s): Lara Schmidt, RAND Corporation

Spatial statistics, spatio-temporal modeling, GIS

83 Evaluation of Procedures to Estimate Unconventional

Natural Gas Resources When Spatial Trends Are

Present—◆Emil D. Attanasi, U.S. Geological Survey;

Timothy C. Coburn, Abilene Christian University

Linear models, GLMs, parametric methods

74 On the Bivariate Negative Binomial Regression Model—

K. Felix Famoye, Central Michigan University

Computational statistics, numerical methods, simulation

84 Non-Negative Matrix Factorization: Estimation of the

Number of Components and the Effect of Normalization—

Jose Maisog, Georgetown University

; Karthik Devarajan,

Fox Chase Cancer Center

; S. Stanley Young, National

Institute of Statistical Sciences

; Paul Fogel, Independent

Consultant ; George Luta, Georgetown University

174 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Experimental design

85 Sequential Latin Hypercube Designs for Computer

Experiments—◆Jun Li, University of Wisconsin-Madison;

Zhiguang Qian, University of Wisconsin-Madison

385

Wald Lecture I—Invited

IMS

CC-202A

Organizer(s): Michael Kosorok, The University of North Carolina at

Chapel Hill

Chair(s): J. Steve Marron, The University of North Carolina at

Chapel Hill

Time series, wavelet analysis, signal processing

86 Statistical Analysis of Eye Movement Data—

Ritaja Sur, University of Maryland

; Benjamin Kedem,

University of Maryland

Engineering and physical sciences, chemometrics

87 Bayesian Estimation of Vortex Merger Parameters—◆Neil

Martinsen-Burrell, Wartburg College

88 A Discussion and Application of Discriminant Analysis

Theory—◆Takisha R. Harrison, Alabama A&M University;

Enoch C. Temple, Alabama A&M University

4:05 p.m. Fast Sparse Regression and Classification—

Jerome H. Friedman, Stanford University

5:30 p.m. Floor Discussion

Invited Sessions 8:00 p.m.–9:30 p.m.

Invited Sessions 4:00 p.m.–5:50 p.m.

384

Deming Lecture—Invited

CC-Ballroom A-B

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association, Deming

Lectureship Committee

Organizer(s): Nicholas I. Fisher, University of Sydney

Chair(s): John M. Bushery, U.S. Census Bureau

4:05 p.m.

Deming Today—◆J. Stuart Hunter, Princeton

University

5:30 p.m. Floor Discussion

386 CC-Ballroom A-B

J

ASA Presidential Address and Awards—

Invited

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Sally C. Morton, RTI International

Chair(s): Peter A. Lachenbruch, Oregon State University

8:00 p.m.

Presentation of Awards—◆Peter A. Lachenbruch,

Oregon State University

8:30 p.m. Remarks from the 104th President of the

Royal Statistical Society—◆David J. Hand,

Imperial College

8:40 p.m. Statistics: From Evidence to Policy—

Sally C. Morton, RTI International

9:10 p.m. Presentation of Founders Awards and New

ASA Fellows—◆Peter A. Lachenbruch,

Oregon State University

Washington, DC 175

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

wednesdAy, AuGust 5

Tours

TR12 - Welcome to Washington Tour

9:00 a.m.–1:00 p.m.

TR13 - The Neighborhoods of Washington, DC: Not Just the Nation’s Capital City

2:00 p.m.–6:00 p.m.

TR14 - Monuments by Moonlight

8:00 p.m.–11:00 p.m.

Committee/Business Meetings &

Other Activities

7:00 a.m.–8:00 a.m. RH-Meeting Room 6

Conference on Applied Statistics Planning Committee

Chair(s): Nathaniel Schenker, National Center for Health Statistics

7:00 a.m.–8:30 a.m. CC-302

Committee of Representatives to AAAS Business Meeting

Chair(s): Michael P. Cohen, NORC at the University of Chicago

7:00 a.m.–8:30 a.m. CC-303

Committee on International Relations in Statistics Meeting

(closed)

Chair(s): Demissie Alemayehu, Pfizer Inc.

7:00 a.m.–8:30 a.m. RH-Meeting Room 4

Committee on Privacy and Confidentiality Annual Meeting

Chair(s): Jerome Reiter, Duke University; Jerry Reiter,

Duke University

7:00 a.m.–8:30 a.m. RH-Meeting Room 7

Scientific and Public Affairs Advisory Committee Meeting

Chair(s): David Marker, Westat

7:00 a.m.–8:30 a.m. RH-Meeting Room 8

Committee on Outreach Education Business Meeting

(closed)

Chair(s): Wendy Martinez, U.S. Department of Defense

CC-154A 7:00 a.m.–6:00 p.m.

Speaker Management Room

7:00 a.m.–8:00 p.m.

Cyber Center

CC-East Registration

7:30 a.m.–4:30 p.m.

JSM Main Registration

8:00 a.m.–2:00 p.m.

Exhibitor Lounge

CC-East Registration

7:30 a.m.–4:30 p.m. CC-East Registration

ASA Membership/Special Assistance/Press Desk

CC-Hall D

8:00 a.m.–2:30 p.m.

Career Placement Service

CC-Hall D

8:30 a.m.–9:30 a.m.

Mu Sigma Rho Business Meeting

RH-Meeting Room 2

Organizer(s): Christine S. Franklin, The University of Georgia

9:00 a.m.–11:00 a.m. RH-Meeting Room 5

COS Publications, Editors and Webmasters

Chair(s): Karen Copeland, Boulder Statitstics

9:00 a.m.–2:30 p.m.

American Statistical Association Booth #101

9:00 a.m.–2:30 p.m.

EXPO 2009

CC-Hall D

CC-Hall D

9:00 a.m.–5:30 p.m.

ASA Marketplace

CC-East Registration

10:30 a.m.–11:30 a.m. RH-Meeting Room 4

Advisory Committee on Continuing Education CE Course

Evaluation (closed)

Chair(s): Xiaoming Sheng, University of Utah

11:00 a.m.–12:00 p.m.

STATCOM Open Introductory Meeting

RH-Meeting Room 2

Organizer(s): Allison Cummins,

11:30 a.m.–2:00 p.m.

Committee on Meetings (closed)

Chair(s): Xiao-Li Meng, Harvard University

CC-302

12:00 p.m.–2:30 p.m. RH-Meeting Room 7

ENAR 2010 Spring Meeting Planning Committee Lunch

(by invitation only)

Organizer(s): Kathy Hoskins, ENAR

12:30 p.m.–2:00 p.m.

Noether Luncheon

CC-303

Chair(s): Carlos J. Morales, Wellington Management Company, LLP

Washington, DC 177

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

12:30 p.m.–2:00 p.m.

NISS/ASA Writing Workshop Lunch

Chair(s): Keith Crank, ASA

RH-Meeting Room 8

CE_31T

Survey Data Analysis with Stata

8:00 a.m.–9:45 a.m.

ASA

RH-Meeting Room 15

Instructor(s): Jeffrey Pitblado, StataCorp LP

12:30 p.m.–2:30 p.m. CC-157

Section for Statistical Programmers and Analysts Mixer and Business Meeting

Chair(s): Steve Yao, Amgen, Inc.

1:00 p.m.–6:30 p.m.

JSM Luggage Storage

CC-East Registration

CE_32T

Introduction to Bayesian Analysis Using SAS Software

8:00 a.m.–9:45 a.m. RH-Meeting Rooms 12, 13, 14

ASA

Instructor(s): Fang Chen, SAS Institute Inc.

2:30 p.m.–9:00 p.m.

Exhibitor Move-Out

4:00 p.m.–5:30 p.m.

CC-Hall D

RH-Meeting Room 2

STATCOM Annual Business Meeting (closed)

Organizer(s): Meghan Honerlaw, Network Outreach Coordinator

CE_33T

Meta-Analysis: Concepts and Applications

10:00 a.m.–11:45 a.m. RH-Meeting Room 16

ASA

Instructor(s): Michael Borenstein, Biostat, Inc.; Hannah R.

Rothstein, Biostat, Inc.

6:00 p.m.–7:00 p.m. CC-143A

International Chinese Statistical Association (ICSA) Annual

Members Meeting

Organizer(s): Ming-Hui Chen, University of Connecticut

CE_34T

Multilevel and Mixed Models in Stata

10:00 a.m.–11:45 a.m. RH-Meeting Room 15

ASA

Instructor(s): Roberto G. Gutierrez, StataCorp LP

6:00 p.m.–7:30 p.m. RH-Meeting Room 2

Section on Statistical Education Business Meeting

Chair(s): Robert delMas, The University of Minnesota

6:00 p.m.–7:30 p.m.

2009 JSM Program Committee/ACCE/Local Area

Committee Appreciation Reception (by invitation only)

CE_35T

Introduction to the MCMC Procedure in SAS/STAT

Software

10:00 a.m.–11:45 a.m. RH-Meeting Rooms 12, 13, 14

ASA

Instructor(s): Fang Chen, SAS Institute Inc.

6:00 p.m.–7:30 p.m. RH-Meeting Room 4

Section on Survey Research Methods Business Meeting

Chair(s): Roderick J.A. Little, University of Michigan

CE_36T

Determining Sample Size and Power in Study Planning: nQuery Advisor 7.0

6:30 p.m.–8:00 p.m. RH-Meeting Room 5

University of Maryland College Park Statistical Alumni

Reception

Organizer(s): Eric V. Slud, University of Maryland College park

1:00 p.m.–2:45 p.m.

ASA

RH-Meeting Room 16

Instructor(s): Janet D. Elashoff, Statistical Solutions; Brian Sullivan,

Statistical Solutions

Continuing Education (Fee Events)

CE_30T

Methods for Multiple Imputation with SOLAS for Missing

Data Analysis 3.2

8:00 a.m.–9:45 a.m. RH-Meeting Room 16

ASA

Instructor(s): Brian Sullivan, Statistical Solutions

CE_37T

Introduction to CART: Data Mining with Decision Trees

1:00 p.m.–2:45 p.m. RH-Meeting Room 15

ASA

Instructor(s): Mikhail Golovnya, Salford Systems

CE_38T

Group Sequential Analysis Using SAS Software

1:00 p.m.–2:45 p.m. RH-Meeting Rooms 12, 13, 14

ASA

Instructor(s): Yang Yuan, SAS Institute Inc.

Washington, DC 179

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

CE_39T

Advances in Data Mining: Jerome Friedman’s TreeNet/

MART and Leo Breiman’s Random Forests

3:00 p.m.–4:45 p.m. RH-Meeting Room 15

ASA

Instructor(s): Mikhail Golovnya, Salford Systems

CE_40T

Using Replication Methods to Analyze Survey Data in SAS

Software

3:00 p.m.–4:45 p.m. RH-Meeting Rooms 12, 13, 14

ASA

Instructor(s): Anthony An, SAS Institute Inc.

CE_41T

Introduction to SizÆ: Cytel’s New Software Package for

Clinical Trial Design and Analysis

3:00 p.m.–4:45 p.m. RH-Meeting Room 16

ASA

Instructor(s): Yannis Jemiai, Cytel, Inc.

389 CC-Ballroom South Prefunction

Section on Statistical Education Roundtables with Coffee (fee event)

Section on Statistical Education

Organizer(s): Tisha L. Hooks, Winona State University

WL06 Challenges in Teaching Statistics to Future Mathematics

Teachers—◆John R. Stevens, Utah State University

390 CC-Ballroom South Prefunction

Section on Teaching Statistics in the Health

Sciences Roundtable with Coffee (fee event)

Section on Teaching of Statistics in the Health Sciences

Organizer(s): Carol Bigelow, University of Massachusetts Amherst

WL07 When Less Is More: What Are the Fundamental Statistical

Concepts Health Science Students Need?—◆Ralph M.

Turner, University of the Sciences

Roundtables with Coffee

7:00 a.m.–8:15 a.m.

391 CC-Ballroom South Prefunction

Section on Statistics and the Environment

Roundtable with Coffee (fee event)

Section on Statistics and the Environment

Organizer(s): Petrutza Caragea, Iowa State University

387 CC-Ballroom South Prefunction

Section for Statistical Programmers and

Analysts Roundtables with Coffee (fee event)

Section for Statistical Programmers and Analysts

Organizer(s): Chengying Wu, sanofi-aventis

WL08 Geography, Space, and Time in Ecology and Health—

Lance A. Waller, Emory University

WL01 Patterns of Data Manipulation—◆Hadley Wickham,

Rice University

WL02 Data Management and Analytical Issues for Health

Service Research Using Health Insurance Claim Data—

Yong-Fang Kuo, The University of Texas Medical Branch

WL03 A Nonrandom Walk Through Mentoring Programs—

Monica Johnston, Mostly Math

WL04 Publication of Statistical Software as Open Source—

Werner Wothke, American Institutes for Research

388 CC-Ballroom South Prefunction

Section on Government Statistics Roundtable with Coffee (fee event)

Section on Government Statistics

Organizer(s): Lisa Blumerman, U.S. Census Bureau

WL05 The 2010 Census Communications Campaign:

Research That Feeds the Campaign—◆Nancy Bates,

U.S. Census Bureau

Special Presentation

8:30 a.m.–10:20 a.m.

392 CC-202A

Late-Breaking Session II: The Role of Statistics in the Nation’s Financial Recovery and

Stability—Other

ASA, ENAR, IMS, WNAR, SSC, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Katherine Ensor, ASA

Chair(s): Alan F. Karr, National Institute of Statistical Sciences

8:35 a.m. The Financial Crisis: Our Share of the Blame—

Don McLeish, Center for Advanced Studies

9:00 a.m. Practical Challenges in Operational Risk Modeling:

A Regulator's Point of View—◆Emre Balta, Office of the Comptroller of the Currency (OCC)

9:25 a.m. Constant Proportion, Zeno's Paradox, and the

Spectacular Financial Crisis of 2008—◆Donald

Richards, Penn State University

180 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:50 a.m. Panel Discussion: The Role of Statistics in the

Nation's Financial Health—◆Nicholas Kiefer,

Cornell University

10:15 a.m. Floor Discussion

Invited Sessions

8:30 a.m.–10:20 a.m.

9:00 a.m.

Measuring Coverage in the 2010 Census—

Patrick J. Cantwell, U.S. Census Bureau

; Donna

Kostanich, U.S. Census Bureau

; Magdalena Ramos,

U.S. Census Bureau

9:25 a.m.

An Integrated Approach to Communications—

Kendall Johnson, U.S. Census Bureau

; ◆Tasha

Boone, U.S. Census Bureau

9:50 a.m. An Overview of Progress on the 2010 Census—

Arnold A. Jackson, U.S. Census Bureau

10:15 a.m. Floor Discussion

393 CC-206

Statistical Challenges in Personalized Medicine and Genotype-Guided Clinical Trials—Invited

Biometrics Section, International Chinese Statistical Association,

Biopharmaceutical Section

Organizer(s): Colin O. Wu, National Heart, Lung, and Blood Institute

Chair(s): Gang Zheng, National Heart, Lung, and Blood Institute

395

Computational Aspects of Bayesian

Shrinkage—Invited

CC-155

Section on Statistical Computing, Section on Bayesian Statistical

Science, Interface Foundation of North America

Organizer(s): Christopher Hans, The Ohio State University

Chair(s): Christopher Hans, The Ohio State University

8:35 a.m.

Design Issues in the NHLBI Randomized Trial of

Genotype-Guided Dosing of Warfarin Therapy

(COAG)—◆Jonas H. Ellenberg, University of

Pennsylvania

; Jungnam Joo, National Heart, Lung, and Blood Institute ; Nancy Geller, National Heart,

Lung, and Blood Institute ; Yves Rosenberg, National

Heart, Lung, and Blood Institute

; Stephen Kimmel,

University of Pennsylvania

; Benjamin French,

University of Pennsylvania

9:05 a.m. Genotype-Stratified Clinical Trials in the Asthma

Clinical Research Network—◆Vernon M. Chinchilli,

Penn State University

9:35 a.m. Rationale, Study Design, and Longitudinal Analysis of the NHLBI Cardiogene Study: Genomics of

In-Stent Restenosis—◆Jungnam Joo, National

Heart, Lung, and Blood Institute ; Santhi K. Ganesh,

National Heart, Lung, and Blood Institute ; Gang

Zheng, National Heart, Lung, and Blood Institute

;

Elizabeth G. Nabel, National Heart, Lung, and Blood

Institute

; Nancy Geller, National Heart, Lung, and

Blood Institute

9:50 a.m.

Disc: Sue-Jane Wang, FDA

10:10 a.m.

Floor Discussion

394 CC-204C

The 2010 Census: Status of the Program,

Integrated Communications, Evaluations, and

Coverage Measurement—Invited

Social Statistics Section, Section on Survey Research Methods,

Section on Government Statistics

Organizer(s): Daniel H. Weinberg, U.S. Census Bureau

Chair(s): Daniel H. Weinberg, U.S. Census Bureau

8:35 a.m.

Evaluating the 2010 Census—

Jennifer W. Reichert, U.S. Census Bureau

8:35 a.m.

Shrinkage in the Evaluation of Fielding in Major

League Baseball—◆Shane Jensen, The Wharton

School

; Kenneth Shirley, Columbia University;

Abraham Wyner, The Wharton School

9:05 a.m. Shrinkage Regression for Multivariate Inference with Missing Data with an Application to Portfolio

Balancing—◆Robert B. Gramacy, University of

Cambridge

9:35 a.m. The Horseshoe Approach to Shrinkage—◆Carlos

M. Carvalho, The University of Chicago

; Nicholas

Polson, The University of Chicago

; James Scott,

Duke University

10:05 a.m. Floor Discussion

396 n

Internet Applications of Bayesian Statistics—

Invited

Section on Statistics and Marketing, Section on Bayesian

Statistical Science, Interface Foundation of North America

Organizer(s): Paul Dagum, MarkMonitor

Chair(s): Rene Schaub, Business.com

CC-150A

8:35 a.m.

Modeling Competition Amongst Web Sites Using

Clickstream Data—◆Alan Montgomery, Carnegie

Mellon University

9:00 a.m. Learning and Harnessing Graphical Models in Online Applications—◆Eric Horvitz,

Microsoft Research

9:25 a.m. Bayesian Statistics in Internet Advertising—

Paul Dagum, MarkMonitor

9:50 a.m. Disc: Tim Gilbride, Mendoza College of Business

10:10 a.m. Floor Discussion

Washington, DC 181

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

397 n J

Quantitative Methods for Combating

Bioterrorism—Invited

CC-101

Section on Statistics in Defense and National Security, Section on

Government Statistics, Interface Foundation of North America

Organizer(s): Alyson Wilson, Iowa State University

Chair(s): Alyson Wilson, Iowa State University

8:35 a.m.

What’s Wrong with Hazard-Ranking Systems?—

Louis A. Cox, Cox Associates

9:05 a.m. Computer Model Validation: Issues with BTRA—

David Banks, Duke University

9:35 a.m. Trilevel Optimization of Terrorism Risk

Management—◆Gerald G. Brown, Naval

Postgraduate School

; Matthew Carlyle, Naval

Postgraduate School

; Kevin Wood, Naval

Postgraduate School

Disc: Neal Glassman, National Research Council

10:05 a.m.

Floor Discussion

398 CC-159B n J

Digital Governance, Hotspot

Geoinformatics, Knowledge Discovery, and Public Policy—Invited

Environmental and Ecological Statistics, Section on Government

Statistics, Interface Foundation of North America

Organizer(s): Ganapati P. Patil, Penn State University

Chair(s): Ganapati P. Patil, Penn State University

9:55 a.m. Disc: Lan Huang, National Cancer Institute

10:05 a.m. Floor Discussion

399 CC-150B n

New Statistical Strategies for Exploring

Massive Complex Data Sets in Science and

Technology—Invited

General Methodology, Section on Bayesian Statistical Science,

Interface Foundation of North America

Organizer(s): Mayetri Gupta, Boston University

Chair(s): Mayetri Gupta, Boston University

8:35 a.m.

Genome-Wide Association Studies in a Founder

Population—◆Chiara Sabatti, University of

California, Los Angeles

9:00 a.m. Dimension Augmenting Vector Machine: A New

General Classifier with Flexible Feature Selection in High Dimension—◆Samiran Ghosh, Indiana

University Purdue University Indianapolis

9:25 a.m. Bayesian Structural Learning and Estimation in

Gaussian Graphical Models and Hierarchical

Log-Linear Models—◆Adrian Dobra, University of Washington

9:50 a.m. Bayesian Models for Complex Genetic Traits—

Paola Sebastiani, Boston University

10:15 a.m. Floor Discussion

8:35 a.m.

Finding Spatial Clusters in Maps Equipped with

Environmentally Defined Structures with Disease

Policy Case Studies—◆Luiz H. Duczmal, Federal

University of Minas Gerais

; Ricardo Tavares, Federal

University of Ouro Preto ; Ganapati P. Patil, Penn

State University

; Andre L.F. Cançado, Federal

University of Minas Gerais

8:55 a.m.

Hiroshima-Nagasaki Atomic Bombing Radiation

Effects Hotspot Biogeoinformatics and Public

Health Policy—◆Harry Cullings, Radiation

Effects Research Foundation

; Geoffrey Jacquez,

BioMedware

; Andrew B. Lawson, Medical University of South Carolina ; Ganapati P. Patil, Penn

State University

9:15 a.m. Digital Governance and Hotspot Geoinformatics of Detection and Prioritization with Environmental

Policy Case Studies—◆Sharad Joshi, Slippery Rock

University

; Ganapati P. Patil, Penn State University;

Rainer Bruggemann, Leibniz Institute of Freshwater

Ecology and Inland Fisheries

; Rajesh E. Koli, Moolji

Jaitha College ; Sanjay P. Pawde, Moolji Jaitha College

9:35 a.m.

Disc: N. Phillip Ross, Radiation Effects

Research Foundation

9:45 a.m.

Disc: Christopher Portier, National Institute of

Environmental Health Sciences

400

ENAR, International Indian Statistical Association

Organizer(s): Hulin Wu, University of Rochester

Chair(s): Hua Liang, University of Rochester

CC-208A n J

Statistical Challenges in Mechanistic

Modeling of Complex Biological Processes

Using Differential Equations—Invited

8:35 a.m. Statistical Challenges in Modeling Immune

Response to Infectious Disease Agents Using

Differential Equation Models—◆Hulin Wu,

University of Rochester

9:00 a.m.

Parameters Estimation and Model Selection of

Long-Term Dynamic Models of HIV—◆Marc

Lavielle, INRIA Saclay

; Adeline Samson, Université

Paris-Descartes

; Ana Karina Fermin, Université

Nanterre ; France Mentré, INERM-Université

Paris-Diderot

9:25 a.m. Optimal Therapeutic Strategy for HIV-Infected

Subjects Based on Mechanistic Models—◆Daniel

Commenges, ISPED

; Rodolphe Thiebaut, ISPED

9:50 a.m. Quantile Functions Distributed Over Space and

Time—James O. Ramsay, McGill University;

Jason D. Nielsen, Carleton University

10:15 a.m. Floor Discussion

182 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

401 CC-102B n

Flexible Statistical Machine Learning for

Complex Data—Invited

IMS, Interface Foundation of North America

Organizer(s): Yufeng Liu, The University of North Carolina at

Chapel Hill

Chair(s): Shuangge Ma, Yale University

9:35 a.m.

David Freedman’s Work in Probability and

Mathematical Statistics—◆Persi Diaconis,

Stanford University

9:55 a.m.

Freedman’s Dialogue with the Social Sciences—

Philip B. Stark, University of California, Berkeley

10:15 a.m.

Floor Discussion

8:35 a.m.

A Prediction Interval for the Misclassification

Rate—◆Susan Murphy, University of Michigan;

Eric Laber, University of Michigan

9:00 a.m. Robust Model-Free Probability Estimation—

Yichao Wu, North Carolina State University

; Hao

(Helen) Zhang, North Carolina State University

;

Yufeng Liu, The University of North Carolina at

Chapel Hill

9:25 a.m. On Large Margin Hierarchical Classification—

Junhui Wang, University of Illinois at Chicago

;

Xiaotong Shen, The University of Minnesota

; Wei

Pan, The University of Minnesota

9:50 a.m. Statistically Based Mining of Copy Number and

Correlation Matrices—◆Andrew Nobel, The

University of North Carolina at Chapel Hill

10:15 a.m. Floor Discussion

Invited Panels 8:30 a.m.–10:20 a.m.

404 n J

The Pros of Pro Bono Statistical

Consulting—Invited

Committee on Student Pro Bono Statistics

Organizer(s): Andrea Rau, Purdue University

Chair(s): Justin Gross, Carnegie Mellon University

CC-158B

Panelists:

Meghan Honerlaw, Purdue University

Jana Asher, Carnegie Mellon University

Nilupa S. Gunaratna, International

Nutrition Foundation

Maria Larkina, Michigan State University

Sarah Nusser, Iowa State University

Luke Fostvedt, Iowa State University

Disc: Sarah Nusser, Iowa State University

10:15 a.m.

Floor Discussion

402

IMS Medallion Lecture V—Invited

IMS

Organizer(s): Xiaotong Shen, The University of Minnesota

Chair(s): Marten Wegkamp, Florida State University

CC-201

8:35 a.m. Combinatorial Problems in Randomized Sequential

Prediction—◆Gabor Lugosi, ICREA and Pompeu

Fabra University, Barcelona

10:00 a.m. Floor Discussion

405 CC-143B

Statistics and Policy: Climate Change—Invited

Section on Statistics and the Environment, Section on

Government Statistics

Organizer(s): Stephen Pierson, ASA

Chair(s): Francis Slakey, Georgetown University

403 CC-159A

Memorial Session for David Freedman—Invited

ASA, IMS, ENAR, WNAR, International Indian Statistical

Association, International Chinese Statistical Association, SSC

Organizer(s): Terence P. Speed, University of California, Berkeley

Chair(s): Terence P. Speed, University of California, Berkeley

Panelists:

Amy Braverman, Jet Propulsion Laboratory

Richard Smith, The University of North Carolina at

Chapel Hill

Kevin Rennert, Senate Energy and Natural

Resources Committee

Mark Berliner, The Ohio State University

Jana A. Leggett, Congressional Research Office

10:15 a.m. Floor Discussion

8:35 a.m.

Fat Chalk and Other Pillars of Wisdom—

Ani Adhikari, University of California, Berkeley

8:55 a.m. A Survey of David Freedman’s Work on Census

Adjustment—◆Lawrence D. Brown, The

Wharton School

9:15 a.m. David Freedman on Law and Public Policy—

Donald Ylvisaker, University of California,

Los Angeles

Washington, DC 183

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Topic-Contributed Sessions

8:30 a.m.–10:20 a.m.

8:35 a.m. Analysis of Copy Number Variations in Genome-

Wide Association Studies—◆Mingyao Li,

University of Pennsylvania

8:55 a.m. Robust Regression for Detecting Copy Number

Variants—◆Glen A. Satten, CDC; Andrew Allen,

Duke University ; Jennifer Mulle, Emory University;

Morna Ikeda, Emory University ; Stephen Warren,

Emory University

9:15 a.m. Detecting Breakpoints Using Multiscale Wavelet

Products—◆Li Hsu, Fred Hutchinson Cancer

Research Center

9:35 a.m. Distinguishing Copy Number Variants from Cancer-

Related Alterations—◆Adam B. Olshen, Memorial

Sloan-Kettering Cancer Center

; Irina Ostrovnaya,

Memorial Sloan-Kettering Cancer Center

9:55 a.m. Overcoming Data Quality and Copy Number

Detection Issues in Genome-Wide Copy Number

Variation (CNV) Association Studies—◆Christophe

G. Lambert, Golden Helix Inc.

; Greta M. Linse,

Golden Helix Inc.

; James E. Grover, Golden Helix

Inc.

; Gabriel F. Rudy, Golden Helix Inc.

10:15 a.m. Floor Discussion

9:35 a.m.

Estimating the Effect of a Time-Dependent Therapy on Residual Restricted Mean Lifetime—◆Douglas

E. Schaubel, University of Michigan

; John D.

Kalbfleisch, University of Michigan

9:55 a.m.

Disc: Luis A. Escobar, Louisiana State University

10:15 a.m.

Floor Discussion

406 CC-207A n

Analyzing Data on Copy Number Variation—

Topic-Contributed

Section on Statistics in Epidemiology

Organizer(s): Glen A. Satten, CDC

Chair(s): Christophe Lange, Harvard University

408 CC-158A n

Partnership, Benefits, and Challenges—

Topic-Contributed

SPAIG Committee

Organizer(s): Morteza Marzjarani, Saginaw Valley State University

Chair(s): Morteza Marzjarani, Saginaw Valley State University

8:35 a.m.

Application of Medical Economic Research:

A Case Study in Academic-Industry Partnerships—

Joseph Heyse, Merck Research Laboratories

;

Boris Iglewicz, Temple University

8:55 a.m. Successful Examples of ‘SPAIG’ Relationships—

William B. Smith, Lecot Inc.

9:15 a.m.

Strengthening Academic Partnerships with

Government and Private Sector Survey

Organizations—◆Alan R. Tupek, Arbitron, Inc.

9:35 a.m.

Creating the Win/Win Arrangement for Successful

Collaborations Between Academia and Industry—

Alan Menius, GlaxoSmithKline

; Pam Arroway,

North Carolina State University

; Jiajun Liu, Merck

Research Laboratories

9:55 a.m.

Disc: Robert Starbuck,

10:15 a.m.

Floor Discussion

407 CC-144C n

Models and Methodologies for Truncated and

Censored Data—Topic-Contributed

Section on Physical and Engineering Sciences,

Biopharmaceutical Section, Section on Quality and Productivity

Organizer(s): Ananda Sen, University of Michigan

Chair(s): Ananda Sen, University of Michigan

409 CC-202B

Estimation with Nonignorable Missing Data in

Survey Sampling—Topic-Contributed

Section on Survey Research Methods, Section on Bayesian

Statistical Science

Organizer(s): Jae-kwang Kim, Iowa State University

Chair(s): J. Michael Brick, Westat, Inc.

8:35 a.m.

A Simple Step-Stress Model with an Immune

Fraction—◆Nandini Kannan, The University of

Texas at San Antonio ; Debasis Kundu, Indian

Institute of Technology Kanpur

8:55 a.m. State-Space Models for Recurrent Events and

Longitudinal Markers—◆Edsel A. Pena, University of South Carolina

9:15 a.m. A Unified Competing Risks Cure Rate Model for Failure Data—◆Sanjib Basu, Northern

Illinois University

8:35 a.m.

Bayesian Sensitivity Analysis of Incomplete Data

Using Pattern-Mixture and Selection Models

Through Equivalent Parameterization—◆Niko

Kaciroti, University of Michigan

; Trivellore E.

Raghunathan, University of Michigan

8:55 a.m. Semiparametric Estimation for Longitudinal

Data with Nonignorable Nonmonotone Missing

Responses—◆Jun Shao, University of

Wisconsin-Madison ; Deyuan Jiang, University of Wisconsin-Madison

9:15 a.m. Extensions of Proxy Pattern-Mixture Analysis for Survey Nonresponse—◆Rebecca Andridge,

University of Michigan

; Roderick J.A. Little,

University of Michigan

184 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. Statistical Inference with Nonignorable Missing

Data Using Fractional Imputation in Survey

Sampling—◆Jae-kwang Kim, Iowa State

University

; Cindy L. Yu, Iowa State University

10:15 a.m. Floor Discussion

410 CC-142 n

Bayesian Hierarchical Modeling in Biology and Environmental Studies—Topic-Contributed

Section on Bayesian Statistical Science, Section on Statistics and the Environment

Organizer(s): Yu Yue, Baruch College

Chair(s): Jun Lu, American University

9:15 a.m. Detection of Disease-Associated Deletions in

Case-Control Studies Using SNP Genotypes—

Chih-Chieh Wu, The University of Texas M.D.

Anderson Cancer Center

9:35 a.m. A Multilevel Hidden Markov Model of DNA Copy

Number Variation—◆Stephen W. Erickson,

University of Arkansas for Medical Sciences

9:55 a.m. Case-Control Studies of Genetic and Environmental

Factors with Error in Measurement of Environmental

Factors—◆Iryna Lobach, New York University

School of Medicine

; Raymond J. Carroll, Texas A&M

University ; Christine Spinka, University of Missouri;

Mitchell H. Gail, National Cancer Institute

; Nilanjan

Chatterjee, National Cancer Institute

10:15 a.m.

Floor Discussion

8:35 a.m.

Bayesian Model for a Dual-Color Tag System for

Investigating Virus-Virus Interactions—◆Douglas

A. Noe, Miami University

; Jing Zhang, Miami

University

; Stephen E. Wright, Miami University;

A. John Bailer, Miami University

8:55 a.m. A Hierarchical Spatio-Temporal Zero-Inflated

Model for Correlated Tornado Reports in the

United States—◆Ali Arab, Georgetown University;

Christopher Wikle, University of Missouri-Columbia ;

Scott Holan, University of Missouri-Columbia

;

Christopher J. Anderson, Iowa State University

9:15 a.m. Modeling Uncertainty for Storm Water Quantity and

Quality Analysis Models in Urban DC—◆Valbona

Bejleri, University of the District of Columbia

; Tolessa

Deksissa, University of the District of Columbia

9:35 a.m. Multivariate Zero-Inflated Bayesian Spatial Models with Repeated Measurements—◆Jing Zhang,

Miami University

; Chong Z. He, University of Missouri

9:55 a.m. Fully Bayesian Smoothing Splines for Varying-

Coefficient Models—◆Yu Yue, Baruch College

10:15 a.m. Floor Discussion

412

Biopharmaceutical Section

Organizer(s): Vipin Arora, Takeda Pharmaceuticals

Chair(s): Barry Davis, The University of Texas School of

Public Health

CC-209B n

Outcome Clinical Trials: Long and Wavy

Roads?—Topic-Contributed

8:35 a.m. Outcome Trials in Type 1 Diabetes: The Diabetes

Control and Complications Trial Experience—

John M. Lachin, The George Washington University

8:55 a.m. Outcome Clinical Trials: Long and Wavy Roads?—

Lawrence Friedman, Independent Consultant

9:15 a.m. Bumps in the Road for an Academic Data

Coordinating Center—◆William R. Clarke, The

University of Iowa

; Dixie Ecklund, The University of

Iowa ; Ying Zhang, The University of Iowa

9:35 a.m. Subtopic: Long-Term Follow-Up in the Lung Health

Study—◆John Connett, University of Minnesota

9:55 a.m.

Disc: Marian R. Fisher, University of

Wisconsin-Madison

10:15 a.m.

Floor Discussion

411 CC-209A n

Current Issues in Statistical Genetics—

Topic-Contributed

Biometrics Section

Organizer(s): Ching-Ti Liu, Boston University

Chair(s): Alisa Manning, Boston University School of Public

Health-Biostatistics

413

Topics in Seasonal Time Series—

Topic-Contributed

Business and Economic Statistics Section

Organizer(s): Tucker S. McElroy, U.S. Census Bureau

Chair(s): Scott Holan, University of Missouri-Columbia

CC-149A

8:35 a.m. Variable Selection for Genome-Wide Multiple Loci

Mapping—◆Wei Sun, The University of North

Carolina at Chapel Hill

; Fei Zou, The University of

North Carolina at Chapel Hill

; Joseph G. Ibrahim,

The University of North Carolina at Chapel Hill

8:55 a.m. Allelic-Based Gene-Gene Interaction in Case-

Control Study—◆Jeesun Jung, Indiana University

School of Medicine

8:35 a.m.

Cost-of-Living Index Based on an Estimated

Generalized Constant-Elasticity-of-Substitution

Utility Function—◆Peter Zadrozny, Bureau of

Labor Statistics

Washington, DC 185

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

8:55 a.m. Seasonality and Trends in the Temperature Anomaly

Data from Goddard Institute for Space Studies—

Peter B. Kenny, PBK Research

; Tucker S. McElroy,

U.S. Census Bureau

9:15 a.m. Analyzing Seasonal Time Series with Periodic Low

Volumes—◆Tammy Jackson, SAS Institute Inc.

9:35 a.m.

The Rewards and Challenges of Seasonally

Adjusting a Short Series: Seasonal Adjustment

Research for the US Census Bureau’s Quarterly

Services Survey—◆Rebecca J. Hutchinson, U.S.

Census Bureau

; Erica Wong, U.S. Census Bureau

9:55 a.m. Detecting Seasonal Volatility: A Banking

Application—◆Irma Hernandez-Magallanes,

University of California, Berkeley

10:15 a.m. Floor Discussion

414 CC-143A n J

Particle Learning—Topic-Contributed

Section on Bayesian Statistical Science

Organizer(s): Hedibert F. Lopes, The University of Chicago

Chair(s): Hedibert F. Lopes, The University of Chicago

8:35 a.m. Parameter Estimation for General State-Space

Models: A Review—◆Jonathan R. Stroud, The

George Washington University

8:55 a.m. Particle Learning in Autoregressive Models with

Structured Priors—◆Raquel Prado, University of California, Santa Cruz

; Hedibert F. Lopes, The

University of Chicago

9:15 a.m. Sequential Monte Carlo in Model Comparison:

Example in Cellular Dynamics in Systems Biology—

Chiranjit Mukherjee, Duke University

; Y. Tanouchi,

Duke University ; L. You, Duke University; Mike West,

Duke University

9:35 a.m.

Sequential Monte Carlo Methods for Long Memory

Stochastic Volatility Models—◆Christian Macaro,

Duke University

; Hedibert F. Lopes, The University of Chicago

9:55 a.m.

The Role of Options, Stochastic Volatility, and

Jumps in the Interest Rate Risk Premia Dynamics—

Bruno P. Lund, Chicago Booth School of Business

;

Hedibert F. Lopes, The University of Chicago

10:15 a.m. Floor Discussion

Contributed Sessions

8:30 a.m.–10:20 a.m.

415

Analysis of Financial Time Series—Contributed

Business and Economic Statistics Section

Chair(s): Viktor Todorov, Northwestern University

8:35 a.m. Testing for Jumps in Financial Time Series—

Werner Ploberger, Washington University in

St. Louis ; Taesuk Lee, University of Rochester/

Washington University in St. Louis

8:50 a.m. Independent Component Analysis for Multivariate

Financial Time Series—◆David S. Matteson, Cornell

University

; Ruey S. Tsay, The University of Chicago

9:05 a.m. Statistical Inference for Volatility Component

Models—◆Fangfang Wang, The University of North

Carolina at Chapel Hill

; Eric Ghysels, The University of North Carolina at Chapel Hill

9:20 a.m. Option Pricing under Random Field Interest Rate

Model with Stochastic Volatility—◆Baowei Xu,

The University of North Carolina at Chapel Hill

;

Chuanshu Ji, The University of North Carolina at Chapel Hill

9:35 a.m. Long-Run Risks in the Term Structure of Interest

Rates: Estimation—◆Taeyoung Doh, Federal

Reserve Bank of Kansas City

9:50 a.m. Spectral Analysis of the Term Structure of US

Interest Rates—◆Kalidas Jana, The University of

Texas at Brownsville

10:05 a.m. Determining the Future Rate of Poisson Random

Variables After Removing Variables with Too Few or Too Many Occurrences—Matthew Lindsey, The

University of Texas at Tyler ; Kellie Keeling, University of Denver

; ◆Robert Pavur, University of North Texas

416

Chair(s): Jean-Michel Marin, University Montpellier II

CC-149B

CC-153

Computational Advances in Clustering and

Mixtures—Contributed

Section on Statistical Computing, Interface Foundation of

North America

8:35 a.m.

A k-Mean-Directions Algorithm for Clustering

Data on the Sphere—◆Ivan Ramler, St. Lawrence

University ; Ranjan Maitra, Iowa State University

8:50 a.m.

Geographically Enhanced Clustering—◆James A.

Shine, U.S. Army Topographic Engineering Center ;

James E. Gentle, George Mason University

9:05 a.m. A Separability Index for Clustering Problems and

Its Applications—Arka Ghosh, Iowa State University;

Ranjan Maitra, Iowa State University ; ◆Anna D.

Peterson, Iowa State University

186 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:20 a.m. Cluster-Based Modeling: Exploring the Linear

Regression Model Space—◆Rebecca Nugent,

Carnegie Mellon University

; Xia-Yi Shen, Carnegie

Mellon University

; Russell Steele, McGill University

9:35 a.m. Statistical Cluster Detection and Pervasive

Surveillance of Nuclear Materials Using Mobile

Sensors—◆Jerry Cheng, Rutgers University;

Minge Xie, Rutgers University

; Fred Roberts,

Rutgers University

9:50 a.m.

Bootstrapping for Significance in Multidimensional

Compact Clustering Models—◆Ranjan Maitra,

Iowa State University

Texas A&M University

Iowa State University

; Soumendra N. Lahiri,

; Volodymyr Melnykov,

10:05 a.m. Variable Selection in Finite Mixture Models—

Volodymyr Melnykov, Iowa State University

;

Ranjan Maitra, Iowa State University

417

Applications in Statistical Consulting—

Contributed

Section on Statistical Consulting

Chair(s): Stephan Ogenstad, Statogen Consulting

CC-148

8:35 a.m. Monte Carlo Evidence of an Evaluation Strategy of

Diverse Programs with Small Group Sizes—Zhehui

Luo, RTI International

; ◆Jeremy W. Bray, RTI

International ; John Shadle, RTI International

8:50 a.m. A University Statistical Consulting Center: A

Learning Experience for Undergraduate and

Graduate students—◆Phyllis J. Curtiss, Grand

Valley State University

9:05 a.m. Application of Factor Analysis in Medical

Education—◆Jayawant Mandrekar, Mayo Clinic

9:20 a.m.

An Outpatient Clinic Queueing Model—◆Anna

Valeva, Western Illinois University

; Farideh

Dehkordi-Vakil, Western Illinois University ;

Feridun Tasdan, Western Illinois University

9:35 a.m. Overcoming Adverse Effects of Correlations in

Microarray Data Analysis—◆Linlin Chen, University of Rochester

; Alexander Y. Gordon, The University of North Carolina at Charlotte

; Galina Glazko,

University of Rochester

; Andrei Yakovlev,

University of Rochester

9:50 a.m. Floor Discussion

418

Active Learning in Statistics Education—

Contributed

Section on Statistical Education

Chair(s): Jamis Perrett, Texas A&M University

419 CC-207B n

Missing Data Methods in Epidemiologic

Studies—Contributed

Section on Statistics in Epidemiology

Chair(s): Sherri Rose, University of California, Berkeley

CC-160

8:35 a.m. An A-maze-ing Comparison—◆Mary Richardson,

Grand Valley State University

; Diann Reischman,

Grand Valley State University

8:50 a.m. The Magical Number 7—◆Diann Reischman, Grand

Valley State University

; Mary Richardson, Grand

Valley State University

9:05 a.m. Playing Games with a Purpose—◆Shonda Kuiper,

Grinnell College

9:20 a.m. Adapting a Carnival Guessing Game to Teach

Experimental Design—◆Nicholas Burn,

Abbott Point of Care

9:35 a.m. Planning and Implementing a Hands-On

Epidemiology Investigation Unit for Advanced

Placement Statistics and Biology High-School

Students—◆Ellen K. Endriss, Career Center High

School ; Sean Bennett, Career Center High School

9:50 a.m. TigerSTAT: A First Person Shooter Game for

Statistics Education—Frank Wattenberg, U.S.

Military Academy ; ◆Adam Wright, U.S. Military

Academy at West Point

; Rodney Sturdivant, U.S.

Military Academy

; Nick Davis, Tietronix

10:05 a.m. Supporting Math Undergraduates: Self-Learning

Materials for Introductory Statistics Course—

Juhyun Park, Lancaster University

; Matthew

Sperrin, Lancaster University

8:35 a.m. Robustness of Efficiency in Semiparametric Models for Incomplete Data—◆Thomas Lumley, University of Washington

8:50 a.m. Marginal Structural Models and Missing Data in the

Exposure of Interest: A Simulation Study Based on the Framingham Heart Study Data—◆Susan

Shortreed, McGill University

; Andrew Forbes,

Monash University

9:05 a.m. Accounting for two types of missing data to estimate the accuracy of a binary diagnostic-test—

Jeffrey H. Stratton, University of Connecticut

;

Ofer Harel, University of Connecticut

9:20 a.m. Multiple Imputation of Missing Categorical Data:

A Latent Class Analysis Approach—◆Mulugeta

Gebregziabher, Medical University of South

Carolina

; Stacia M. DeSantis, Medical

University of South Carolina

Washington, DC 187

188 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. The Generalized ANOVA: A Classic Song Sung with Modern Lyrics—◆Hui Zhang, University of

Rochester

; Hua He, University of Rochester; Qin

Yu, University of Rochester

; Rui Chen, University of Rochester Medical Center

; Naiji Lu, University of

Rochester ; Xin M. Tu, University of Rochester

9:50 a.m. Joint Modeling of Missing Data Due to

Nonresponse and Death in Longitudinal

Epidemiological Studies—◆Kumar B. Rajan,

Rush University and Medical Center

; Sue

Leurgans, Rush University and Medical Center

10:05 a.m.

Missing Data Analysis in the BE-DRI Trial (UITN)—

Aarthi Balasubramanyam, Roche Molecular

Systems, Inc.

; Heather Litman, New England

Research Institutes

; Yan Xu, New England

Research Institutes

; Anne Stoddard, New

England Research Institutes

420 CC-203A n

Survey Mode Effects and Methods for Asking

Sensitive Questions—Contributed

Section on Survey Research Methods

Chair(s): Jeffrey Gonzalez, Bureau of Labor Statistics

10:05 a.m. Response Mode and Bias Analysis in the IRS’

421

Individual Taxpayer Burden Survey—◆George

Contos, IRS

; Michael J. Brick, Westat, Inc.;

Karen C. Masken, IRS

; Roy Nord, IRS

Section on Survey Research Methods, Section on

Government Statistics

Chair(s): Eric Grau, Mathematica Policy Research, Inc.

CC-203B

Developments in Address-Based Sampling and

Other Frame and Coverage Issues—Contributed

8:35 a.m. Mean and Sensitivity Estimation in Optional

Randomized Response Models—◆Sat N. Gupta,

The University of North Carolina at Greensboro

;

Javid Shabbir, Quai-I-Azam University

; Supriti Sehra,

The University of North Carolina at Greensboro

8:50 a.m. Evaluating Mode Effects in Military Surveys—

Michael Yonghe Yang, ICF International

; Amy

Falcone, ICF International

; Lynn Milan, U.S. Army

Research Institute ; Brad Booth, ICF International

9:05 a.m. Data Collection Mode Effects: Empirical

Comparisons Between CATI-Only vs. Mixed Mode in the 2003 National Survey of Recent College

Graduates—◆Zhanyun Zhao, Mathematica Policy

Research, Inc.

; Donsig Jang, Mathematica Policy

Research, Inc.

; Kelly H. Kang, National

Science Foundation

9:20 a.m. The Franklin’s Randomized Response Model for Two Sensitive Attributes—◆Cheng C. Chen,

Texas A&M University-Kingsville

; Sarjinder Singh,

Texas A&M University-Kingsville

9:35 a.m. Sample Surveys with Sensitive Questions: A

Nonrandomized Response Approach—◆Guo-Liang

Tian, The University of Hong Kong ; Ming T. Tan,

University of Maryland Greenebaum Cancer Center

;

Man-Lai Tang, Hong Kong Baptist University

9:50 a.m. Looking for a Needle in a Haystack: A Multi-Mode

Approach to a Survey of Rare Subpopulations—

Mansour Fahimi, Marketing Systems Group

;

Barbara L. Kroner, RTI International

; Anne E.

Kenyon, RTI International

; David J. Thurman, CDC

8:35 a.m.

Using Addresses as Sampling Units in the 2007

Health Information National Trends Survey—◆Greg

Norman, Westat, Inc.

; Richard Sigman, Westat, Inc.

8:50 a.m.

Indirect Sampling in Context of Multiple Bases—

Manuela Maia, Universidade Católica Portuguesa

;

Pierre Lavallée, Statistics Canada

9:05 a.m. A Comparative Evaluation of Traditional Listing vs. Address-Based Sampling Frames: Matching with Field Investigation of Discrepancies—◆Jill

Montaquila, Westat, Inc.

; Michael J. Brick, Westat,

Inc.

; Valerie Hsu, Westat, Inc.; Stephanie Eckman,

NORC at the University of Chicago ; Ned English,

NORC at the University of Chicago

9:20 a.m. Multi-Frame Estimation for the 2008 NSSRN:

Theory, Implementation, and Assessment—

Ralph DiGaetano, Westat, Inc.

; Lou Rizzo,

Westat, Inc.

; Jim Green, Westat, Inc.

9:35 a.m. Operational Results from an Address-Based

Sampling Pilot for the National Immunization

Survey—◆Benjamin Skalland, NORC at the

University of Chicago

; Martin Barron, NORC at the University of Chicago ; Karen Wooten, CDC

9:50 a.m. Cross-Community Comparison and Multi-Frame

Weighting in REACH US—◆Peter K. Kwok, NORC at the University of Chicago ; Hee-Choon Shin, NORC at the University of Chicago ; Whitney Murphy, NORC at the University of Chicago

; Colm O’Muircheartaigh,

The University of Chicago

; Angela Debello, NORC at the University of Chicago

; Kari Carris, NORC at the

University of Chicago ; Youlian Liao, CDC

10:05 a.m. The Use of Address-Based Sampling (ABS) with

Multi-Mode Data Collection: The Case of REACH

(Racial and Ethnic Approaches to Community

Health) US Risk Factor Survey—◆Kanru Xia, NORC at the University of Chicago

; Katie Dekker, NORC at the University of Chicago

; Colm O’Muircheartaigh,

The University of Chicago

; Youlian Liao, CDC

Washington, DC 189

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

422

Monitoring and Improving Air Quality—

Contributed

CC-144B

Section on Statistics and the Environment, Section on Bayesian

Statistical Science

Chair(s): Joel H. Reynolds, U.S. Fish and Wildlife Service

423 CC-143C

Classification and Discriminant Analysis—

Contributed

Section on Statistical Learning and Data Mining, Interface

Foundation of North America

Chair(s): Tyler H. McCormick, Columbia University

8:35 a.m.

Spatio-Temporal Modeling of Air Pollutants Using a Process Convolution Approach—◆Jenise Swall,

U.S. Environmental Protection Agency

8:50 a.m. Hierarchical Spatial Modeling of Air Pollution

Exposure and Measurement Error—◆Simone Gray,

Duke University

; Alan E. Gelfand, Duke University;

Marie Lynn Miranda, Duke University

; Sharon

Edwards, Duke University

9:05 a.m. Statistical Modeling of Carbon Dioxide in the

Atmosphere: Continental United States—◆Yong

Xu, University of South Florida

; Chris P. Tsokos,

University of South Florida

9:20 a.m. Estimating NO2 Level from Traffic Exposure Using

GIS and GLM—◆Keita Ebisu, Yale University;

Michelle L. Bell, Yale University ; Lisa McKay, Yale

University ; Janneane F. Gent, Yale University;

Kathleen Belanger, Yale University

; Michael B.

Bracken, Yale University

; Brian P. Leaderer, Yale

University

; Theodore R. Holford, Yale University

9:35 a.m. Comparison of Deterministic and Stochastic

Spatiotemporal Interpolation Methods for Ozone in the Conterminous US—◆Lixin Li, Georgia Southern

University ; Xingyou Zhang, CDC; Reinhard Piltner,

Georgia Southern University

9:50 a.m. Hierarchical 2-Level Cluster Model to Estimate

Regional and National Adverse Effects of NO2 on

Public Health—◆Hwashin H. Shin, Health Canada and Institute of Population Health, University of

Ottawa

; Richard T. Burnett, Health Canada; Dave

Stieb, Health Canada

; Barry Jessiman, Air Health

Science Division, Health Canada

10:05 a.m.

Improving Air Quality Management Strategies for Ozone Using an Ensemble of Air Quality

Model Simulations—◆Kristen M. Foley, U.S.

Environmental Protection Agency ; Robert W. Pinder,

U.S. Environmental Protection Agency

; Sergey L.

Napelenok, U.S. Environmental Protection Agency

8:35 a.m.

An Empirical Application of Credit Card Customers’

Classification and Recognition in a Chinese Bank—

Li Xia, IBM China Research Laboratory

; Bin Zhang,

IBM China Research Laboratory

; Ming Xie, IBM

China Research Laboratory

; Minglu Li, IBM China

Research Lab ; Jinyan Shao, IBM China Research Lab;

Lili Zhao, IBM China Research Lab

8:50 a.m. The Effect of Model Misspecification on Semi-

Supervised Classification—◆Ting Yang, Johns

Hopkins University ; Carey E. Priebe, Johns

Hopkins University

9:05 a.m. Discriminant Analysis with Interval Constraints—

Xiaoming Huo, Georgia Tech ; ◆Heeyoung Kim,

Georgia Tech

; Jianjun Shi, Georgia Tech

9:20 a.m. Multicategory Composite Least Squares

Classifier—◆Seo Young Park, The University of

North Carolina at Chapel Hill

; Yufeng Liu, The

University of North Carolina at Chapel Hill

9:35 a.m. Semi-Supervised Learning via Regularized Logistic

Discrimination—◆Shuichi Kawano, Kyushu

University

; Sadanori Konishi, Kyushu University

9:50 a.m. Properties of the Quadratic Subspace in

Discriminant Analysis—◆Santiago Velilla,

Universidad Carlos III de Madrid

10:05 a.m. Subclassifying Type 2 Diabetes by Combining

Nonlinear Dynamic Modeling and Multivariate

Classification Methods—◆Lucas Beverlin, Iowa

State University

; Derrick Rollins, Iowa State

University ; Nisarg Vyas, BodyMedia, Inc.; Gregory

Welk, Iowa State University ; Warren Franke,

Iowa State University

424

Section on Nonparametric Statistics

Chair(s): Suojin Wang, Texas A&M University

CC-144A

Nonparametric and Semiparametric Methods—

Contributed

8:35 a.m. Model Selection and Estimation in Additive

Regression Models—◆Huiping Miao, North

Carolina State University

; Daowen Zhang, North

Carolina State University

8:50 a.m.

Testing for Linearity of a Semiparametric

Generalized Linear Model via Splines—

Chin-Shang Li, University of California, Davis

190 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:05 a.m. On the Behavior of Marginal and Conditional Akaike

Information Criteria in Linear Mixed Models—

Sonja Greven, Johns Hopkins University

; Thomas

Kneib, Ludwig-Maximilains-Universitaet Muenchen

9:20 a.m. Efficient and Effective Smoothing with Binned

Data—◆Michael C. Minnotte, University of

North Dakota

9:35 a.m. Semiparametric Sequential Optimal Designs for

Binary Response Models—◆Joseph Warfield,

Johns Hopkins University Applied Physics

Laboratory

; Anindya Roy, University of

Maryland, Baltimore County

9:50 a.m.

Analysis of Meteorological Data Using

Nonparametric Multiple Regression—◆Ozlem

Alpu, Eskisehir Osmangazi University ; Berna Yazici,

Anadolu University

; Betul Kan, Anadolu University

10:05 a.m. Determining the Coordinates of an Experimental

Data Set Based on Multivariate Adaptive Regression

Splines—◆Betul Kan, Anadolu University;

Berna Yazici, Anadolu University

425

Advances in Causal Inference and Health

Economic Evaluations—Contributed

Section on Health Policy Statistics

Chair(s): Laura Lee Johnson, U.S. Department of Health and

Human Services

8:35 a.m.

8:50 a.m.

9:05 a.m.

Teen Sex from Evidence to Policy: The Accuracy of the Media’s Communication of Quantitative

Methods—◆Janet E. Rosenbaum, Johns Hopkins

Bloomberg School of Public Health

A New Method for Assigning Weights for Propensity

Score Analysis—◆Michael Posner, Villanova

University

Joint Modeling of Zero-Inflated Data Using

Copulas—◆Joanne K. Daggy, Purdue University;

Bruce A. Craig, Purdue University

; Joseph Thomas,

III, Purdue University

CC-204B

9:20 a.m. Sensitivity Analysis Using Probabilistic Simulation

Methods: An Application to the Health Economics of Stable Coronary Disease—◆Zugui Zhang,

Christiana Care Health System

; Paul Kolm, Christiana

Care Health System

; William S. Weintraub,

Christiana Care Health System

9:35 a.m. Appealing to Assumptions of Marginal Structural

Models for Time-to-Event Outcomes by Using

Electronic Health Records—◆Kenneth J. Wilkins,

Uniformed Services University of the Health Science

9:50 a.m. Heterogeneous Treatment Effects and Individual

Inefficiency—◆Zhehui Luo, RTI International;

Jeremy W. Bray, RTI International

; Joseph C.

Gardiner, Michigan State University

10:05 a.m. A Nonparametric Matching Method, Genetic

Matching, with Applications to Health Policy

Evaluations: Revisiting the Case of Pulmonary

Artery Catheterization—◆Jasjeet S. Sekhon,

University of California, Berkeley

; Richard Grieve,

London School of Hygiene and Tropical Medicine

426

Biometrics Section

Chair(s): Wei-Ting Hwang, University of Pennsylvania

8:35 a.m. Marginalized Frailty Models for Multivariate Data—

Megan Othus, Harvard University/Dana Farber

Cancer Institute

; Yi Li, Harvard University/Dana

Farber Cancer Institute

8:50 a.m.

Recurrent Event Data Analysis Using Within-Cluster

Resampling—◆Xianghua Luo, The University of

Minnesota

; Chiung-Yu Huang, National Institute of

Allergy and Infectious Diseases

9:05 a.m. Goodness-of-Fit Tests for Archimedean Copula

Models—◆Antai Wang, Georgetown University

9:20 a.m. Accelerated Failure Time Marginal Means Models for Recurrent Events with a Terminal Event—

Xiaoyan Wang, The University of North Carolina at Chapel Hill

; Jianwen Cai, The University of North

Carolina at Chapel Hill

9:35 a.m. Competing Risks Regression for Clustered Data—

Bingqing Zhou, The University of North Carolina at Chapel Hill

9:50 a.m. A Positive Stable Frailty Model for Clustered

Failure Time Data with Covariate Dependent

Frailty—Dandan Liu, University of Michigan; ◆John

D. Kalbfleisch, University of Michigan

; Douglas E.

Schaubel, University of Michigan

10:05 a.m. Floor Discussion

427 n

Bayesian Applications—Contributed

Section on Bayesian Statistical Science

CC-141

Chair(s): Rebecca Hubbard, Group Health Center for Health Studies

8:35 a.m. Optimal Conversion of Regression Models to Point-

Based Scoring Systems for Clinical Use—◆John

Boscardin, University of California, San Francisco

8:50 a.m. Signal Detection in Noisy Images: A Bayesian

Approach—Khalil Shafie, University of Northern

Colorado ; ◆Mohammad R. Rouhani, Shahid

Beheshti University ; Siamak Noorbaloochi, The

University of Minnesota

CC-204A

New Methods for Multivariate Survival Data—

Contributed

Washington, DC 191

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:05 a.m. Bayesian Combination of State Polls and Election

Forecasts—◆Kari Lock, Harvard University;

Andrew Gelman, Columbia University

9:20 a.m.

BugsXLA: Making Bayesian Methods More

Accessible—◆Phil Woodward, Pfizer Inc.

9:35 a.m.

Evaluating Multiple Imputation Procedures Using

9:50 a.m.

428

Simulations in a Bayesian Prospective—◆Fabrizia

Mealli, University of Florence

; Michela Baccini,

University of Florence

; Constantine Frangakis, Johns

Hopkins University

; Fan Li, Duke University; Donald

B. Rubin, Harvard University

; Elizabeth R. Zell, CDC

Bayesian Regression Inference in Knot Theory—

John Kern, Duquesne University

St. Thomas University

10:05 a.m. A Latent Class Mixture Model to Impute Missing

Covariates in Observational Studies—◆Robin

Mitra, Southampton Statistical Sciences Research

Institute ; Jerome Reiter, Duke University

Methods for Genetic Data—Contributed

Biometrics Section

Chair(s): Caiyan Li, University of Pennsylvania

; Eric Rawdon,

CC-208B

8:35 a.m. Multiple Comparison and Regularization for

Analysis of eQTL Data—◆Jichun Xie, University of

Pennsylvania ; Hongzhe Li, University of Pennsylvania

8:50 a.m. Distributional Properties of Digital Gene Expression

Data—◆Lisa M. Chung, University of Wisconsin-

Madison ; Michael A. Newton, University of

Wisconsin-Madison

9:05 a.m. Tumor Subtype Discovery Using Integrated

Genomic Data—◆Ronglai Shen, Memorial

Sloan-Kettering Cancer Center

9:20 a.m.

Inference for a Difference in Correlated Counts on an Interval—◆Justin W. Davis, University of

Missouri ; David H. Annis, SportsQuant

9:35 a.m. Uncovering Shared Genetic Risk Factors for Various

Aspects of Complex Disorders Captured in Multiple

Traits: A Power Calculation and Its Application to

Reading Disability Data—◆Summer S. Han, Yale

University

; Elena L. Grigorenko, Yale University;

Joseph T. Chang, Yale University

9:50 a.m. Floor Discussion

429 CC-209C n

Active Control Trials and Multiple Testing in

Clinical Trials—Contributed

Biopharmaceutical Section

Chair(s): Jingyu (Julia) Luan, FDA

8:35 a.m. Use and Abuse of Statistics in Design and Analysis of Active Control Trials—◆Kallappa M. Koti, FDA

8:50 a.m. An Application of GEE Models in Assessing

Noninferiority to an Aggregate Response—G. Frank

Liu, Merck Research Laboratories

; ◆Michael J.

Dallas, Merck Research Laboratories

9:05 a.m. New Step-Down Procedures for Control of the Generalized Family-Wise Error Rate—

Zijiang Yang, Temple University

; Sanat Sarkar,

Temple University

9:20 a.m. Decision Analysis Using Confidence Intervals for a Binomial Parameter with Stratification—

Kenneth Liu, Merck & Co., Inc.

9:35 a.m. Multiple Testing Procedures for Multi-Dose Clinical

Trials—◆Gang Li, Johnson & Johnson PRD; Peter

Ouyang, Johnson & Johnson ; Yining Wang,

Johnson & Johnson

9:50 a.m. Sample Size Re-Estimation for Noninferiority

Trials—◆Xiaohui Luo, Merck & Co., Inc.; Bret

Musser, Merck Research Laboratories

10:05 a.m. A ‘MiniPool’ Approach for Combined Phase IIB/

III Trial in Patients with Life-Threatening Disease—

Y.H. Joshua Chen, Merck Research Laboratories

;

Keaven Anderson, Merck & Co., Inc.

430 CC-102A n

Clinical Trial Simulation Sample Size and

Decision Analysis—Contributed

Biopharmaceutical Section

Chair(s): Brian L. Wiens, Gilead Sciences, Inc.

8:35 a.m. Sample Size and Power Analysis for PG and PGB

Trials Using Parametric Tests—◆Mallikarjuna

Rettiganti, The Ohio State University

8:50 a.m.

Simulation Modeling Approaches: Applications for

Analysis and Design of Islet Cell Transplant Clinical

Trials—◆Maithili Daphtary, FDA; Hong Yang, FDA;

Bruce S. Schneider, FDA ; Jawahar Tiwari, FDA;

Steven A. Anderson, FDA

9:05 a.m. Evaluating Optimal Drug Supply Strategies in

Adaptive Design Trials Through Simulation and

Nonparametric Bootstrap Method—◆Suvajit

Samanta, Merck & Co., Inc.

; Weili He,

Merck & Co., Inc.

9:20 a.m. Sample Size Estimation for Trials with Recurrent

Events as the Primary Endpoint—◆Kuolung Hu,

Amgen, Inc.

; Robert A. Parker, Amgen, Inc.

192 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. Improving Monte Carlo Analysis in Nonlinear Least

Squares Regression—◆Leonid A. Khinkis, Canisius

College

; Milburn E. Crotzer, Canisius College

9:50 a.m.

Estimation vs. Hypothesis Testing in a Decision

Analytic Framework—◆Duane Snavely, Merck &

Co., Inc.

; Kenneth Liu, Merck & Co., Inc.; Richard

Entsuah, Merck & Co., Inc.

10:05 a.m. Testing for Efficacy in Primary and Secondary

Endpoints by Partitioning Decision Paths—◆Yi Liu,

The Ohio State University

; Jason Hsu, The Ohio

State University

Semiparametric and nonparametric methods

07 Asymptotics for Time-Dependent Autoregressive

Processes—◆Sreenivas Konda, Temple University

Probability, stochastic processes

08 Dimension Folding for Array-Valued Predictors with

Application to EEG Data—◆Min Kyung Kim, Penn State

University

; Bing Li, Penn State University; Naomi S. Altman,

Penn State University

09 A Study of Methods for Computing Empirical Likelihood—

Dan Yang, University of Pennsylvania

; Dylan Small,

University of Pennsylvania

10 CitySense: Multiscale Space Time Clustering of GPS

Points and Trajectories—◆Markus Loecher, Sense

Networks

; Tony Jebara, Columbia University; David

Rosenberg, Sense Networks

Poster Presentations

8:30 a.m.–10:20 a.m.

431 CC-L Street Bridge

Topic-Contributed Oral Poster Presentations—

Topic-Contributed

IMS

Organizer(s): Lara Schmidt, RAND Corporation

Chair(s): Lara Schmidt, RAND Corporation

Incomplete data analysis, imputation methods

01 A New Notion of Data Depth Based on Goodness-of-Fit

Tests—◆Ye Dong, The University of Hong Kong; Stephen

M.S. Lee, The University of Hong Kong

Experimental design

11 Robust Covariance Structure Estimation in Linear Mixed

Models—◆Xueliang Pan, The Ohio State University; David

Jarjoura, The Ohio State University

432 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

IMS

Chair(s): Lara Schmidt, RAND Corporation

Computational statistics, numerical methods, simulation

02 Selecting the Number of Factors in Exploratory Factor

Analysis via Locally Conic Parameterization—◆Yoshiyuki

Ninomiya, Kyushu University

; Hirokazu Yanagihara,

Hiroshima University

; Ke-Hai Yuan, University of

Notre Dame

Bayesian statistics, hierarchical models

12 A Hierarchical Bayesian Model to Merge Prior Opinions—

Maria J. Rufo Bazaga, University of Extremadura

; Jacinto

Martin Jimenez, University of Extremadura

; Carlos J. Perez

Sanchez, University of Extremadura

Probability, stochastic processes

03 Parameter Estimation for First-Order Bifurcating

Autoregressive Processes with Point Process Technique—

Chenhua Zhang, University of Southern Mississippi

04 Hierarchical Clustering Algorithms with Unimodal Test—

Bumsu Kim, Seoul National University

; Yongdai Kim,

Seoul National University ; Sangmi Han

Mathematical statistics, distribution theory, robust statistics

13 A Positive False Discovery Rate Convergence Result—

Igor Melnykov, Colorado State University ; John Chen,

Bowling Green State University

Data mining and knowledge discovery, machine learning

14 Robust Inference for Sparse Graphical Models Using a

Multivariate t Distribution and Penalized Likelihoods—

Michael A. Finegold, The University of Chicago

; Mathias

Drton, The University of Chicago

Bayesian statistics, hierarchical models

05 Testing the Regression Coefficient for High-Dimensional

Data—◆Pingshou Zhong, Iowa State University; Song Xi

Chen, Iowa State University

Graphics, visualization

06 Simple Bias-Corrected Cross-Validation Criterion—

Hirokazu Yanagihara, Hiroshima University

Applications and case studies

15 Workload Forecasting for a Call Center: Methodology and a Case Study—◆Sivan Aldor-Noiman, The Wharton

School

; Paul D. Feigin, Technion--Israel Institute of

Technology ; Avishai Mandelbaum, Technion--Israel

Institute of Technology

Washington, DC 193

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Biometrics, bioinformatics, computational biology

16 Calculation of Likelihood Ratios from Categorical Data with Applications to Forensic Handwriting Analysis—

Christopher P. Saunders, George Mason University

;

Amanda B. Hepler, George Mason University

; Mark J.

Lancaster, George Mason University ; Linda J. Davis,

George Mason University ; Donald T. Gantz, George

Mason University

Health policy, epidemiology, public health

23 Instrumental Variables with Binary Data—◆Michael

Baiocchi, University of Pennsylvania

; Paul R. Rosenbaum,

University of Pennsylvania

; Dylan Small, University of Pennsylvania

Experimental design

17 Optimal Design of the Sensor Network Under

Communication and Energy Budget Constraints—

Zhengyuan Zhu, The University of North Carolina at

Chapel Hill

; Jun Yang, Duke University; Yi Zhang, Duke

University ; Xuanlong Nguyen, Duke University

Biometrics, bioinformatics, computational biology

24 Identification of Disease Biomarkers Using Logic Forest—

Bethany Wolf, Medical University of South Carolina

;

Elizabeth Slate, Medical University of South Carolina ;

Elizabeth Hill, Medical University of South Carolina

25 Development of Statistical Model for Quality Control of

Reverse Phase Protein Array (RPPA) Slide and Study of

Tissue Heterogeneity Effects on Protein Expression—

Zhenlin Ju, The University of Texas M.D. Anderson

Cancer Center

Mathematical statistics, distribution theory, robust statistics

18 Context Tree Estimation for Ergodic Processes—◆Zsolt

Talata, University of Kansas ; Tyrone Duncan, University of Kansas

433 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

ENAR

Chair(s): Lara Schmidt, RAND Corporation

Applications and case studies

26 Variance Component Analysis of a Reverse Phase Protein

Array’s Data—◆Wenbin Liu, The University of Texas M.D.

Anderson Cancer Center

; Kevin R. Coombes, The University of Texas M.D. Anderson Cancer Center ; Yiling Lu, The

University of Texas M.D. Anderson Cancer Center ; Zhenlin

Ju, The University of Texas M.D. Anderson Cancer Center

;

Gordon B. Mills, The University of Texas M.D. Anderson

Cancer Center

Applications and case studies

19 Evaluating the Association Between Red Blood Cell

Storage Duration and Prostate Cancer Recurrence—

Jarrod E. Dalton, Cleveland Clinic Foundation

; Edward

J. Mascha, Cleveland Clinic Foundation ; Daniel I. Sessler,

Cleveland Clinic Foundation

; Shamgar Ben-Eliyahu, Tel Aviv

University

; Juan Cata, Cleveland Clinic Foundation

Biometrics, bioinformatics, computational biology

27 Power and Sample Size Estimation for the Clustered

Wilcoxon Test—◆Bernard Rosner, Channing Laboratory;

Robert J. Glynn, Brigham and Women’s Hospital

Incomplete data analysis, imputation methods

28 A General Framework for Estimating Genetic Effects and Gene-Environment Interactions with Missing Data—

Yijuan Hu, The University of North Carolina at Chapel

Hill

; Danyu Lin, The University of North Carolina at Chapel

Hill

; Donglin Zeng, The University of North Carolina at

Chapel Hill

Longitudinal data, repeated measurements, and meta-analysis

20 A Meta-Analytic Framework for Combining Incomparable

Cox Proportional Hazard Models Caused by Omitting

Important Covariates—◆Xing Yuan, University of

Pittsburgh

; Stewart Anderson, University of Pittsburgh

Biometrics, bioinformatics, computational biology

21 Monoisotopic Peak Detection for Mass Spectrometry

Data—◆Mourad Atlas, University of Louisville;

Susmita Datta, University of Louisville

Biometrics, bioinformatics, computational biology

29 Random Effects Semiparametric Regression Model for Clustered Interval-censored Data—K. F. Lam, The

University of Hong Kong ; ◆Yongxian Long, The University of Hong Kong

30 Penalized Model-Based Clustering with General

Covariance Matrices—◆Hui Zhou, The University of

Minnesota

; Wei Pan, The University of Minnesota;

Xiaotong Shen, The University of Minnesota

Spatial statistics, spatio-temporal modeling, GIS

22 Kronecker Product Linear Exponent AR(1) Correlation

Structures for Multivariate Repeated Measures—◆Sean

L. Simpson, Wake Forest University

; Lloyd J. Edwards, The

University of North Carolina at Chapel Hill

; Keith E. Muller,

University of Florida

Applications and case studies

31 Statistical Model and Sample Size Determination for the

QuitNexus Study: Accounting for Within-Cluster Variability in the Denominator of the Counseling Rate—◆Tina D.

Cunningham, Virginia Commonwealth University

; Robert E.

Johnson, Virginia Commonwealth University

194 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

434 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

International Indian Statistical Assoc., Reps. for Young Statisticians

Bootstrap, resampling methods

40 AdaBoost from the Perspective of Importance

Sampling—◆Qingzhao Yu, Louisiana State University

Health Sciences Center

Linear models, GLMs, parametric methods

32 Linex Regression—◆Aman Sahni, University of Northern

Colorado ; Khalil Shafie, University of Northern Colorado;

Saad Alkahtani, University of Northern Colorado

Pattern recognition, computer vision, shape analysis

41 Adaptive Bayesian Pattern Recognition—◆Thomas C.

Minter, Adaptive Recognition Systems

Time series, wavelet analysis, signal processing

42 Testing Equality of Latent Variables Across Groups—

Hui Huang, University of Maryland, Baltimore County

435 CC-Hall D n

Topic-Contributed Oral Poster Presentations:

Applications and Case Studies—

Topic-Contributed

Section on Statistical Learning and Data Mining

Organizer(s): Chamont Wei Hong Wang, College of New Jersey

Chair(s): Lara Schmidt, RAND Corporation

Data mining and knowledge discovery, machine learning

43 Clustering via Data Spectroscopy—◆Jared Schuetter, The

Ohio State University

; Tao Shi, The Ohio State University

Business, financial, and marketing statistics

44 Session-Centric Page Sequence Clustering for Improving

Web Experience—◆Lakshminarayan K. Choudur,

Hewlett-Packard Laboratories Applications and case studies

33 Profit Analysis and Customer Satisfaction in Consumer

Finance—◆Mikhail Zhuravlev, The College of New Jersey

34 Profit Analysis in Binary Prediction—◆Michele Meisner,

The College of New Jersey

35 Detecting Unsatisfied Customers: A Case Study—

Kristen Schuck, The College of New Jersey

36 Profit Analysis and Bootstrapping of Mass Spectrometry

Data—Brian Daniels, The College of New Jersey; ◆Katie

Lentz, The College of New Jersey

Computational statistics, numerical methods, simulation

45 Variable Selection for Clustering—◆Hyang Min Lee, Penn

State University ; Jia Li, Penn State University

Mathematical statistics, distribution theory, robust statistics

46 Weighted Distance-Weighted Discrimination and Its

Asymptotic Properties—◆Xingye Qiao, The University of

North Carolina at Chapel Hill

; Hao (Helen) Zhang, North

Carolina State University

; Yufeng Liu, The University of

North Carolina at Chapel Hill

; Michael Jeremy Todd,

Cornell University

; J. Steve Marron, The University of

North Carolina at Chapel Hill

436 CC-Hall D

Contributed Oral Poster Presentations—

Contributed

Section on Statistical Learning and Data Mining

Chair(s): Lara Schmidt, RAND Corporation

Statistical Analysis of Text

37 Statistical Learning of Word Acquisition with Application to Readability Prediction—◆Paul B. Kidwell, Purdue

University

; Guy Lebanon, Georgia Institute of Technology;

Kevyn Collins-Thompson, Microsoft Research

Applications and case studies

47 Application of Periodic Autoregressive Moving Average

(PARMA) Models in Water-Quality Trend Analysis of

Minnesota River—◆Deepak Sanjel, Minnesota State

University

; Mohammad L. Rahman, Minnesota

State University

Biometrics, bioinformatics, computational biology

48 Methods for the Processing of Large-Scale High-

Resolution LC/MS Data—◆Tianwei Yu, Emory University

Data mining and knowledge discovery, machine learning

38 Performance of Algorithms for Chemometric Calibration—

Stanislav Zakharkin, Solae ; David Ryan, Solae; Nicole

Mueth, Solae

; Kyoungmi Kim, University of California, Davis

39 Spatial Voxel Co-Occurrence Matrices and Correction

Functions for Multiple Magnetic Resonance Imaging

Scanners—◆Arpad G. Kelemen, University of Maryland,

Baltimore

; Yulan Liang, University of Maryland, Baltimore

Social and behavioral science

49 Regression Trees for Group-Randomized Trials—

Anne-Michelle Noone, Georgetown University

;

Rebecca Andridge, University of Michigan

Mathematical statistics, distribution theory, robust statistics

50 Outlier Detection in Functional Data Analysis—

Pallavi Sawant, Auburn University ; Nedret Billor,

Auburn University

Washington, DC 195

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Computational statistics, numerical methods, simulation

51 Supervised Dimensionality Reduction on the Fusion of

Dissimilarity Matrices—◆Zhiliang Ma, Johns Hopkins

University

; Carey E. Priebe, Johns Hopkins University

Categorical, multivariate analysis

52 A Nonparametric Model for Multiclass Multidimensional

Classification—Hua Fang, University of Nebraska-Lincoln;

Honggang Wang, University of Nebraska-Lincoln

Bayesian statistics, hierarchical models

53 Application of Transportation Problem to Improve ‘Naïve’

Bayes Classifier—◆Michael Zakharevich, Align Technology,

Inc.

; Olena Tsvirkunova, Align Technology, Inc.; Vadim

Matov, Align Technology, Inc.

Categorical, multivariate analysis

54 Clustering Relationships in High-Dimensional Data—

Timothy Au, Cornell University

; Wei Jiang, Hong Kong

University of Science and Technology

59 Accounting for Exposure Measurement Error in

Environmental Epidemiology—◆Adam Szpiro, University of Washington ; Lianne Sheppard, University of Washington;

Thomas Lumley, University of Washington

60 Regression Analysis on a Covariate with Heteroscedastic

Measurement Error—◆Ying Guo, University of Michigan;

Roderick J.A. Little, University of Michigan

61 An Ordinal Logistic Regression Model with

Misclassification of the Outcome Variable and a

Covariate—◆Beverly A. Shirkey, The University of Texas

Health Science Center at Houston

; Stephen C. Waring, The

University of Texas Health Science Center at Houston

; Jay

H. Glasser, The University of Texas Health Science Center at Houston

; Wenyaw Chan, The University of Texas Health

Science Center at Houston

62 Generalized Multiple Indicators Multiple Causes

Measurement Error Models—◆Carmen D. Tekwe, State

University of New York at Buffalo ; Randy L. Carter, State

University of New York at Buffalo ; Harry Cullings, Radiation

Effects Research Foundation

63 Confidence Interval for the Odds Ratio Using Double

Sampling—◆Denka Markova, Baylor University; Dean

Young, Baylor University

Applications and case studies

55 Power Simulation Using Nonlinear Bayesian Prediction

Model on Alcohol Dependence Literature Database—

Yun-Fei Chen, Eli Lilly and Company

; Haoda Fu,

Eli Lilly and Company

Experimental design

56 Planning the Optimal Get-Out-the-Vote Campaign Using

Randomized Field Experiments—◆Aaron Strauss,

Princeton University ; Kosuke Imai, Princeton University

438 CC-Hall D n

Topic-Contributed Oral Poster Presentations:

Case Studies in Epidemiology—Topic-

Contributed

Section on Statistics in Epidemiology

Organizer(s): Natalie C. Hall, Eli Lilly and Company

Chair(s): Lara Schmidt, RAND Corporation

Data mining and knowledge discovery, machine learning

57 A Comparison of Logic Regression and CART for

Identifying Important SNP Interactions—◆Wonsuk Yoo,

Wayne State School of Medicine

; Michele Cote, Karmanos

Cancer Institute/Wayne State University

; Ann Schwartz,

Karmanos Cancer Institute

437 CC-Hall D

Topic-Contributed Oral Poster Presentations:

Measurement Error and Misclassification in

Epidemiology—Topic-Contributed

Section on Statistics in Epidemiology

Organizer(s): Lara Schmidt, RAND Corporation

Chair(s): Lara Schmidt, RAND Corporation

Health policy, epidemiology, public health

58 Sensitivity Analysis for Covariate Misclassification in

Logistic Regression via Predictive Value Weights—Robert

H. Lyles, Emory University

; ◆Ji Lin, Emory University

Health policy, epidemiology, public health

64 The Obesity Epidemic in Maryland: An Analysis and

Proposal for Change—◆Simone A. Robers, Education

Statistics Services Institute

65 Discussion on Bivariate Reference Ranges of QT Interval and Heart Rate—◆Tianhe Xu, Binzhou Medical College;

Zengli Shi, Binzhou Medical College ; Hongwei Sun, Binzhou

Medical College

; Jiu Wang, Binzhou Medical College; Yong

Gao, Binzhou Medical College

66 Identifying Early Determinants of Overweight/Obesity

Among Preschoolers: A Comparison of Classification

Trees, Multivariate Adaptive Regression Splines, and

Logistic Regression—◆Panagiota Kitsantas,

George Mason University

67 An Empirical Identification of Subgroups of Patients with

Knee Replacements—◆Charles Saltzman, The University of Utah

; Man Hung, The University of Utah; Tom Greene,

The University of Utah ; Richard Johnston, The University of

Iowa ; Daniel Clegg, The University of Utah; John Callaghan,

University of Iowa

68 Prediction of Functional Status for the Elderly Based on

Double Indexed TORQUE—◆Hyokyoung (Grace) Hong,

Baruch College

; Jianhui Zhou, University of Virginia;

Xuming He, University of Illinois at Urbana-Champaign

196 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

69 The Social and Geographic Context of Obesity and Diabetes Epidemics—◆Xingyou Zhang, CDC;

James Holt, CDC

439 CC-Hall D n

Topic-Contributed Oral Poster Presentations:

Statistical Methods for Mental Health Studies—

Topic-Contributed

Section on Statistics in Epidemiology

Organizer(s): Ralph M. Turner, University of the Sciences

Chair(s): Lara Schmidt, RAND Corporation

440 CC-Hall D

Contributed Oral Poster Presentations:

Statistical Methods in Epidemiology—

Contributed

Section on Statistics in Epidemiology

Chair(s): Lara Schmidt, RAND Corporation

Health policy, epidemiology, public health

77 Identifying Clusters of Mortality from Selected Causes of Death by Health Service Area: USA 2003–2005—

Jay H. Kim, CDC/NCHS ; Rong Wei, National Center for Health Statistics

Health policy, epidemiology, public health

70 Assessing the Effect of Treatment Strategies for

Longitudinally Observed Outcome Data—◆Sachiko

Miyahara, University of Pittsburgh

; Abdus S. Wahed,

University of Pittsburgh

71 Variance Estimates for Synthetic Estimation of Need for

Mental Health Services—◆Hoang Nguyen, LifeStat LLC;

Charles E. Holzer, III, The University of Texas Medical

Branch at Galveston

72 Detecting Schizophrenia Liability in Healthy

First-Degree Relatives of Schizophrenics: A Finite Mixture

Model Approach—◆Charity J. Morgan, The University of Alabama at Birmingham

; Deborah L. Levy, McLean

Hospital

; Mark F. Lenzenweger, State University of New

York at Binghamton

; Donald B. Rubin, Harvard University

73 Bayesian Analysis of Doubly Censored Data with

Covariates with Application to AIDS and Dementia—

Binbing Yu, National Institute on Aging

74 Comparing Diagnostic Tools: Different Methods, Same

Story?—◆Novie Younger, Tropical Medicine Research

Institute, Jamaica

; Audrey Pottinger, University of the

West Indies

75 SF-36 Among Older Americans with Traumatic Brain

Injury: Reliability, Factor Structure, and Impact of Injury

Severity and Race—◆Chengwu Yang, Medical University of South Carolina

; Anbesaw W. Selassie, Medical University of South Carolina ; Rickey E. Carter, Medical University of

South Carolina

; Barbara C. Tilley, Medical University of

South Carolina

76 A Sequential Approach of an Age-Period-Cohort

Analysis—◆Kit Ling Yang, The University of Hong Kong

Applications and case studies

78 Children’s Health: The Effect of Air Pollution—◆Elizabeth

A. Stanwyck, University of Maryland, Baltimore County

;

Bimal Sinha, University of Maryland, Baltimore County

79 Application of an Extended Poisson Process to Model

Cardiovascular Events—◆Paul Kolm, Christiana Care

Health System

; Zugui Zhang, Christiana Care Health

System

; Edward Ewen, Christiana Care Health System;

James Bowen, Christiana Care Health System

Health policy, epidemiology, public health

80 A Comparison of Methods for Analysis of Multidimensional

Profiles—◆Margo A. Sidell, Tulane University

Linear models, GLMs, parametric methods

81 Test Coefficients Regression When the Variables Are Not

Independent from Each Other—Leann Myers, Tulane

University ; ◆Adriana C. Dornelles, Tulane University

Health policy, epidemiology, public health

82 Confidence Interval for the Product of a Relative Risk and a Probability—◆William M. Reichmann, Brigham and Women’s Hospital

; Charles R. Horsburgh, Jr., Boston

University School of Public Health

; David Gagnon,

Boston University School of Public Health

; Elena

Losina, Boston University

83 Distributions of Pediatric Blood Pressure Index and

Percentiles: Implications as Diagnostic Tools—◆Cynthia

Bell, The University of Texas Health Science Center at

Houston ; Alisa Acosta, The University of Texas Health

Science Center at Houston

; Karen McNiece, University of

Arkansas Medical School/Arkansas Children’s Hospital

;

Ronald Portman, The University of Texas Health Science

Center at Houston

; Joshua Samuels, The University of

Texas Health Science Center at Houston

Linear models, GLMs, parametric methods

84 A Linear Regression Framework for Receiver Operating

Characteristic Curve Analysis—◆Zheng Zhang,

Brown University

Washington, DC 197

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Health policy, epidemiology, public health

85 Analyses of the Accuracy of Cancer Mortality as Measured by Death Certificates Data—Ronaldo Iachan, Macro

International, Inc.

; ◆Aliza Fink, Macro International, Inc.

Graphics, visualization

86 Using L’Abbe Plots, Event Rate Migration Analysis/Event

Rate Curves to Report BMI Results from the Medical

College of Georgia FitKid Project—◆John Hanes,

Regent University

Health policy, epidemiology, public health

93 A Mean Test for Relative-Pairs in Genetic Linkage

Analysis—◆Qimei He, Pacific Health Research Institute

94 Prevalence of Diabetes in Low-Income and First Nations

People in Alberta, Canada—◆Greg M. Hugel, University of Alberta

; Jeffrey A. Johnson, University of Alberta;

Stephanie U. Balko,

Linear models, GLMs, parametric methods

95 Association Study with Multiple Markers on a Candidate

Region and Disease via Generalized Partial Least Squares

Approach—◆Hyonho Chun, Yale University

Longitudinal data, repeated measurements, and meta-analysis

87 Quantitative Synthesis of Dichotomous Data: Avoiding

Dominance of a Single Study—◆Kepher H. Makambi,

Georgetown University Medical Center

88 Application of Joint Modeling for Growth Model and

Time-to-Event Analysis—◆Wan-Ling Hsu, Radiation

Effects Research Foundation ; Kazuo Neriishi, Radiation

Effects Research Foundation

; Tatsuyuki Kakuma, Kurume

University

; Yuko Araki, Kurume University

Health policy, epidemiology, public health

96 Cancer Genetics Network: A Research Resource—◆Nora

Horick, Massachusetts General Hospital

; Dianne M.

Finkelstein, Harvard/Massachusetts General Hospital

Biometrics, bioinformatics, computational biology

97 Detecting Association with Rare Genetic Variants in

Common Diseases—◆Yali Li, Case Western Reserve

University

; Tao Feng, Case Western Reserve University;

Xiaofeng Zhu, Case Western Reserve University

Health policy, epidemiology, public health

89 A Two-Component Mixture Model for Characterizing the

Age Distribution of Pertussis Infant Mortality in the United

States—◆Andrew L. Baughman, CDC; Tracy Pondo, CDC;

Barry Sirotkin, CDC ; Tejpratap Tiwari, CDC; Charles E.

Rose, CDC

; Margaret M. Cortese, CDC

Health policy, epidemiology, public health

98 Stomach Cancer Risk in Hodgkin Lymphoma and

Testicular Cancer Survivors—◆Julia T. Molony, The

University of Minnesota

; Ethel Gilbert, National Cancer

Institute, Division of Cancer Epidemiology and Genetics

Longitudinal data, repeated measurements, and meta-analysis

90 Bayesian Longitudinal Plateau Model of Adult Grip

Strength with Multiple Imputation for Missing Response and Covariates—◆Ramzi W. Nahhas, Lifespan Health

Research Center

; Stefan A. Czerwinski, Lifespan Health

Research Center

Reliability and survival modeling, risk analysis

99 Penalized Splines in the Time-Varying Coefficient Rates

Model—◆Leila D. Amorim, Universidade Federal da Bahia;

Jianwen Cai, The University of North Carolina at Chapel

Hill

; Donglin Zeng, The University of North Carolina at

Chapel Hill

; Mauricio L. Barreto, Universidade Federal da Bahia

Bayesian statistics, hierarchical models

91 Interval Estimators for Directly Standardized Rates—

Tracy Pondo, CDC

; Charles E. Rose, CDC; Amanda C.

Cohn, CDC ; Elizabeth R. Zell, CDC

Longitudinal data, repeated measurements, and meta-analysis

92 How to Improve a Biomarker’s Efficacy Using

Longitudinal Data: Application to Prostate Cancer—

Anna E. Kettermann, Johns Hopkins University

; Luigi

Ferrucci, National Institute on Aging

; E. Jeffrey Metter,

National Institute on Aging

; H. Ballentine Carter, Johns

Hopkins University

Health policy, epidemiology, public health

100 Identification of the Most Appropriate ICD Version for

Epidemiologic Studies: Description of a Statistical

Method—◆Ja K. Gu, National Institute for Occupational

Safety and Health ; Luenda E. Charles, National Institute for

Occupational Safety and Health

; Cecil M. Curchfiel, National

Institute for Occupational Safety and Health

; Michael E.

Andrew, National Institute for Occupational Safety and

Health ; John M. Violanti, State University of New York at Buffalo

Biometrics, bioinformatics, computational biology

101 A Score-Based Combinatorial Approach to Detecting

Gene-Gene Interactions in Nuclear Families—◆Xiaoqi Cui,

Michigan Technological University

; Huann-Sheng Chen,

Michigan Technological University

198 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Special Presentation

10:30 a.m.–12:20 p.m.

11:35 a.m. Evaluating Player Performance in Basketball—

Matthew S. Johnson, Teachers College

12:05 p.m. Floor Discussion

441 CC-207A

Late-Breaking Session III: Statistics in the New

Administration

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Wendy Martinez, U.S. Department of Defense

444 CC-209A n

Recent Developments in Seasonal Adjustment

Methodology—Invited

Business and Economic Statistics Section, Section on Government

Statistics

Organizer(s): Brian C. Monsell, U.S. Census Bureau

Chair(s): Tucker S. McElroy, U.S. Census Bureau

Invited Sessions

10:30 a.m.–12:20 p.m.

442 CC-204C

J

Statistical Analysis in the Presence of

Measurement Error—Invited

Section on Statistics in Epidemiology, Section on Bayesian

Statistical Science

Organizer(s): Huixia (Judy) Wang, North Carolina State University

Chair(s): Huixia (Judy) Wang, North Carolina State University

10:35 a.m.

Recent Developments in Trend-Cycle Prediction for

Real Time Analysis—◆Estela Bee Dagum, University of Bologna

; Silvia Bianconcini, University of Bologna

11:00 a.m. Identification of Problematic Series in Model-Based

Seasonal Adjustment of Large Sets—◆Agustin

Maravall, Bank of Spain

11:25 a.m. Periodic Unobserved Components in Seasonal

Time Series—◆Siem Jan Koopman, Vrije

Universiteit Amsterdam

11:50 a.m. Stock Series Holiday Regressors Generated by

Flow Series Regressors—◆David Findley,

U.S. Census Bureau

12:15 p.m. Floor Discussion 10:35 a.m.

Cox Models with Smooth Functional Effect of

Covariates Measured with Error—◆Ciprian M.

Crainiceanu, Johns Hopkins University

11:00 a.m. Quantile Regression with Measurement Error—

Ying Wei, Columbia University

; Raymond J.

Carroll, Texas A&M University

11:25 a.m. Identification and Estimation of Nonparametric

Measurement Error Models—◆Susan Schennach,

The University of Chicago

11:50 a.m.

Measurement Error Models for Variance

Predictors—◆Leonard A. Stefanski, North Carolina

State University

12:15 p.m.

Floor Discussion

445 CC-150A n J

Emerging Statistical Challenges in Cancer

Research—Invited

International Indian Statistical Association,

Biopharmaceutical Section

Organizer(s): Bhramar Mukherjee, University of Michigan

Chair(s): Bhramar Mukherjee, University of Michigan

443 n

Evaluating and Predicting Player

Performance—Invited

Section on Statistics in Sports

Organizer(s): Matthew S. Johnson, Teachers College

Chair(s): Ronald Neath, Baruch College

CC-206

10:35 a.m. Beyond +/-: A Rating System to Compare NHL

Players—◆Dennis F. Lock, St. Lawrence University

11:05 a.m. A Survey of Methods for the Statistical Evaluation of Defensive Ability in Major League Baseball—

Benjamin S. Baumer, CUNY Graduate Center

10:35 a.m.

Predictive Models of Complex Traits: Inference of Statistical Dependencies and Predictive

Geometry—◆Sayan Mukherjee, Duke University

11:00 a.m. On Analyzing Routes of Exposures Obtained from

Questionnaires—◆Jaya Satagopan, Memorial

Sloan-Kettering Cancer Center

11:25 a.m. Multiple Testing Procedures for Integrative

Genomics Problems in Cancer Studies—◆Debashis

Ghosh, Penn State University

; Laila M. Poisson,

University of Michigan

11:50 a.m. Survival Trees and Forest for Breast Cancer

Prognostication—◆Mousumi Banerjee, University of

Michigan

; David Miller, University of Michigan

12:15 p.m.

Floor Discussion

Washington, DC 199

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

446 CC-202B n J

Statistics in Biopharmaceutical Research:

Novel Approaches to Designing Adaptive

Clinical Trials—Invited

Statistics in Biopharmaceutical Research Journal,

Biopharmaceutical Section

Organizer(s): Joseph Heyse, Merck Research Laboratories

Chair(s): Joseph Heyse, Merck Research Laboratories

448 CC-158B

Health Impact of Climate Change—Invited

Section on Bayesian Statistical Science, Section on Risk

Analysis, Section on Statistics and the Environment, Section on

Government Statistics

Organizer(s): Francesca Dominici, Johns Hopkins University

Chair(s): Francesca Dominici, Johns Hopkins University

10:35 a.m.

Flexible Phase I Clinical Trials: Allowing for

Nonbinary Toxicity Response and Removal of

Other Common Limitations—◆Richard F.

Potthoff, Duke University Medical Center

;

Stephen L. George, Duke University

Medical Center

11:00 a.m. T-Statistic-Based Up and Down Design for Dose-

Finding Competes Favorably with Bayesian

4-Parameter Logistic Design—◆James A. Bolognese,

Cytel, Inc.

; Nitin R. Patel, Cytel, Inc.; Yevgen

Tymofyeyef, Merck & Co., Inc.

; Inna Perevozskaya,

Merck & Co., Inc.

; Jeffrey Palmer, Cytel, Inc.

11:25 a.m. Adaptive Dose-Finding in Non-Life-Threatening

Diseases: Review and Case Studies—◆Anastasia

Ivanova, The University of North Carolina at

Chapel Hill

11:50 a.m. Variance-Based Sample Size Reassessments

Increase Relative Efficiency of Studies—

Deepak B. Khatry, MedImmune, LLC

12:15 p.m.

Floor Discussion

10:35 a.m.

The Health Effects of Heat Waves—◆Roger D. Peng,

Johns Hopkins Bloomberg School of Public Health

11:05 a.m.

Regional Climate, NARCCAP, and Health Impacts—

Stephan R. Sain, National Center for Atmospheric

Research

; Claudia Tebaldi, Climate Central

11:35 a.m. The Potential Impact of Climate Change on Health

Through Tropospheric Ozone—◆Michelle L. Bell,

Yale University

12:05 p.m. Floor Discussion

449 CC-201

Bayesian Methods in Medicine and Biology—

Invited

WNAR, Section on Bayesian Statistical Science, Biometrics

Section, Biopharmaceutical Section

Organizer(s): Wesley O. Johnson, University of California, Irvine

Chair(s): Wesley O. Johnson, University of California, Irvine

447 n

Career Advice for Female Industrial

Statisticians—Invited

Section on Quality and Productivity

CC-209C

Organizer(s): Diane K. Michelson, International SEMATECH

Manufacturing Initiative

Chair(s): Diane K. Michelson, International SEMATECH

Manufacturing Initiative

10:35 a.m.

A Bayesian Theory of Surprise for Modeling

Attention Mechanisms in Natural and Artificial

Perceptual Systems: Application to Eye

Movements—◆Pierre Baldi, University of

California, Irvine

11:05 a.m. Automated Methods for Complex Image Data:

Adaptive Bayesian Image Mixed Models—◆Jeffrey

S. Morris, The University of Texas M.D. Anderson

Cancer Center

11:35 a.m. Bayesian Nonparametric Techniques in Genome-

Wide Association Studies—◆Purushottam W. Laud,

Medical College of Wisconsin ; Nicholas M. Pajewski,

The University of Alabama at Birmingham

12:05 p.m. Floor Discussion

10:35 a.m.

Building a Career in Industry—◆Martha Gardner,

General Electric Global Research

11:05 a.m. Making the Move from Statistician to

Management—◆Leslie Fowler, Freescale

Semiconductor

11:35 a.m. Thriving, Not Just Surviving, as a Statistician—

Joanne R. Wendelberger, Los Alamos

National Laboratory

12:05 p.m. Floor Discussion

200 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

450 CC-144B n

Distance Teaching in Practice: Bring Your

Laptop and Experience for Yourself—Invited

Section on Teaching of Statistics in the Health Sciences, Interface

Foundation of North America

Organizer(s): Carol Bigelow, University of Massachusetts Amherst

Chair(s): Cynthia Coffman, Duke University Medical Center

10:35 a.m.

Teaching Health Professionals Online: Keeping

It Real—◆Penelope S. Pekow, University of

Massachusetts Amherst

11:00 a.m. An Interactive Web-Based Introduction to

Biostatistics for Health Practitioners—◆Jacob J.

Oleson, The University of Iowa

11:25 a.m. Duke Medicine Teaching: Multiple Simultaneous

Sites and Technical Presentations with SAS—

Lawrence H. Muhlbaier, Duke University

; Cynthia

Coffman, Duke University Medical Center ; Steven

C. Grambow, Duke University ; Linda S. Lee, Duke

University

; William E. Wilkinson, Duke University

11:50 a.m. The Virtual Data Analysis Classroom: A Live

Demonstration—◆Guillaume Weisang, Bentley

University; Olumayokun Soremekun, Bentley

University

12:15 p.m. Floor Discussion

451

Noether Award Committee

CC-144C

Noether Awards Invited Session—Invited

Organizer(s): Carlos J. Morales, Wellington Management

Company, LLP

Chair(s): Carlos J. Morales, Wellington Management Company, LLP

10:35 a.m. Extending SS-ANOVA Models with Pedigree Data—

Grace Wahba, University of Wisconsin-Madison

11:20 a.m. Semiparametric Efficient Estimation in the Case-

Cohort Study—◆Donglin Zeng, The University of

North Carolina at Chapel Hill

12:05 p.m. Floor Discussion

11:35 a.m. Problems Resulting from the Avalanche of Genetic

Information—◆Robert C. Elston, Case Western

Reserve University

12:05 p.m. Floor Discussion

453

Wald Lecture II—Invited

IMS

CC-207B

Organizer(s): Michael Kosorok, The University of North Carolina at

Chapel Hill

Chair(s): Yufeng Liu, The University of North Carolina at Chapel Hill

10:35 a.m.

Decision Trees and Gradient Boosting—

Jerome H. Friedman, Stanford University

12:00 p.m. Floor Discussion

Invited Panels 10:30 a.m.–12:20 p.m.

454 CC-143B n J

Future of Random-Digit-Dial Telephone

Surveys—Invited

Section on Government Statistics, Section on Survey Research

Methods, Social Statistics Section

Organizer(s): Meena Khare, CDC

Chair(s): Sunghee Lee, University of California, Los Angeles

Panelists:

Linda B. Piekarski, Survey Sampling

International, LLC

Meena Khare, CDC

James A. Singleton, CDC

Michael P. Battaglia, Abt Associates Inc.

Michael J. Brick, Westat, Inc.

David Grant, University of California, Los Angeles

12:15 p.m. Floor Discussion

452

Cautionary Tales of Modern Statistical

Methods—Invited

IMS, Section on Bayesian Statistical Science

Organizer(s): Peter Hoff, University of Washington

Chair(s): Aleksandra B. Slavkovic, Penn State University

CC-159B

10:35 a.m. Inference Post-Model Selection: The Good, The

Bad, and The Ugly—◆Hannes Leeb, Yale University

11:05 a.m. MCMC: Does It Work? How Can We Tell?—

Charles J. Geyer, The University of Minnesota

Washington, DC 201

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Topic-Contributed Sessions

10:30 a.m.–12:20 p.m.

455 CC-159A

J

Population Monte Carlo, SMC Sampler—

Topic-Contributed

Section on Bayesian Statistical Science

Organizer(s): Julien Cornebise, Statistical and Applied Mathematical

Sciences Institute

Chair(s): Christian P. Robert, Université Paris Dauphine

10:35 a.m.

Adaptive Design of Transition Kernels in Sequential

Monte Carlo Methods—◆Julien Cornebise,

Statistical and Applied Mathematical Sciences

Institute

; Eric Moulines, Telecom ParisTech;

Jimmy Olsson, Lund University

10:55 a.m. Some Conditional Binary Sequences—◆Ian H.

Dinwoodie, Duke University

11:15 a.m. Adaptive Multiple Importance Sampling—◆Jean-

Michel Marin, University Montpellier II ; Jean-Marie

Cornuet, Imperial College, London

; Antonietta Mira,

University of Insubria

; Christian P. Robert, Université

Paris Dauphine

11:35 a.m. An Improved Analysis of the Product Estimator—

Mark Huber, Duke University

; Sarah Schott,

Duke University

11:55 a.m. Population Monte Carlo and Cosmology—◆Darren

Wraith, Université de Paris Dauphine

12:15 p.m.

Floor Discussion

457 CC-158A n

Bayesian Nonparametric Methods for Time

Series and Functional Data—Topic-Contributed

Section on Bayesian Statistical Science

Organizer(s): Sam Behseta, California State University, Fullerton

Chair(s): Herbert Lee, University of California, Santa Cruz

10:35 a.m.

Bayesian Nonparametric Mixture Modeling for Poisson Processes with an Application to

Comparison of Single-Neuron Firing Intensities—

Athanasios Kottas, University of California,

Santa Cruz

10:55 a.m. Markov Models for Neuronal Spike Trains—◆Jeffrey

Liebner, Lafayette College

; Athanasios Kottas,

University of California, Santa Cruz

; Abel Rodriguez,

University of California, Santa Cruz

; Kert Viele,

University of Kentucky ; Sam Behseta, California

State University, Fullerton

11:15 a.m. Multilevel Functional Clustering—◆Abel Rodriguez,

University of California, Santa Cruz

11:35 a.m. Integrating Bayesian Time Series Methods Into

Self-Modeling Regressions—◆Kert Viele, University of Kentucky ; Rhonda VanDyke, Cincinnati Children’s

Hospital Medical Center

11:55 a.m. Multiple Curve-Fitting with BARS—◆Sam Behseta,

California State University, Fullerton ; Robert E. Kass,

Carnegie Mellon University

12:15 p.m. Floor Discussion

456 CC-209B n J

The Development of Advanced Lifetime

Data Analysis in Industrial Settings—Topic-

Contributed

Section on Physical and Engineering Sciences, Section on

Quality and Productivity

Organizer(s): I-Li Lu, The Boeing Company

Chair(s): I-Li Lu, The Boeing Company

458 CC-143C n J

Innovative Methods and Findings from

Health Care Assessment Surveys—Topic-

Contributed

Section on Health Policy Statistics, Section on Bayesian Statistical

Science, Section on Government Statistics

Organizer(s): Alan M. Zaslavsky, Harvard Medical School

Chair(s): Steven Cohen, Agency for Healthcare Research and Quality

10:35 a.m.

Statistical Aspects of Monitoring Time-Managed

Lifetime Data—◆Emmanuel Yashchin, IBM Research

10:55 a.m. Exceedence Monitoring and Alerting Mechanism for the Boeing In-Service Reliability Program—

Shuying Zhu, The Boeing Company

11:15 a.m. Data-Driven Reliability Estimation for Prognostics and Health Management—◆Aparna Huzurbazar,

Los Alamos National Laboratory

11:35 a.m. Estimating Lifetimes When Several Unidentified

Components Are Reported—◆Julio L. Peixoto,

The Boeing Company

11:55 a.m. Disc: Anbessie Yitbarec, The Boeing Company

12:15 p.m. Floor Discussion

10:35 a.m.

Using the Census Bureau’s Surname List to Improve Estimates of Race/Ethnicity and

Associated Disparities—◆Marc N. Elliott, RAND

Corporation

; Peter A. Morrison, RAND Corporation;

Allen Fremont, RAND Corporation ; Daniel F.

McCaffrey, RAND Corporation ; Philip Pantoja, RAND

Corporation

; Nicole Lurie, RAND Corporation

10:55 a.m. Methodological Issues in the Analysis of Responses to CAHPS Questions in the Medical Expenditure

Panel Survey (MEPS)—◆Paul Gorrell, Social &

Scientific Systems, Inc.

11:15 a.m. Optimal Survey Design When Nonrespondents

Are Subsampled for Follow-Up in a Comparative

Study—◆A. James O’Malley, Harvard Medical

School

; Alan M. Zaslavsky, Harvard Medical School

202 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:35 a.m. A Simulation Study of Design Effect Approximations for Propensity-Score Weighted Data with

Application to the MCAHPS Survey—◆Amelia M.

Haviland, RAND Corporation

; Marc N. Elliott, RAND

Corporation

; Mary Slaughter, RAND Corporation

11:55 a.m.

Random Coefficients Models for Subgroup

Differences in Surveys of Health Care Quality—

Alan M. Zaslavsky, Harvard Medical School

; A.

James O’Malley, Harvard Medical School

12:15 p.m. Floor Discussion

11:15 a.m. Can Apparent Diffusion Coefficient Be a Predictive

Biomarker in Glioblastoma Multiforme Patients?—

Hyun (Grace) J. Kim, University of California,

Los Angeles

11:35 a.m. Percentage of Survival Variation Explained by a Continuous Marker—◆Caixia Li, University of

California, San Francisco

; Ying Lu, University of

California, San Francisco

11:55 a.m. Disc: Sue-Jane Wang, FDA

12:15 p.m.

Floor Discussion

459 CC-150B n J

The Statistics of Election Auditing—

Topic-Contributed

Scientific and Public Affairs Advisory Committee,

Social Statistics Section

Organizer(s): Mary Foulkes, George Washington University

Chair(s): Mary Foulkes, George Washington University

461 CC-155

Undergraduate Statisticians: Developing

Evidence to Improve Environmental Policy—

Topic-Contributed

Section on Statistics and the Environment

Organizer(s): William F. Hunt, Jr., North Carolina State University

Chair(s): William F. Hunt, Jr., North Carolina State University

10:35 a.m.

Election Auditing: A Report from Florida—

Linda J. Young, University of Florida

10:55 a.m. Post-Election Audit Efforts in Iowa: Successes and Challenges—◆Jonathan M. Hobbs, Iowa State

University

; David Rockoff, Iowa State University;

Russell V. Lenth, The University of Iowa

; Rahul A.

Parsa, Drake University ; Alicia L. Carriquiry, Iowa

State University

11:15 a.m. Oregon 2008 ‘Hand Recounts’—◆Albyn C. Jones,

Reed College

11:35 a.m.

Statistical Auditing Techniques and Small Errors in Four Races in California—◆Luke W. Miratrix,

University of California, Berkeley ; Philip B. Stark,

University of California, Berkeley

11:55 a.m. Disc: Mary Batcher, Ernst and Young LLP

12:15 p.m.

Floor Discussion

460

Biometrics Section

Organizer(s): Grace Kim, Radiological Science, UCLA

Chair(s): Constantine Gatsonis, Brown University

CC-101 n

Characteristics of Biomarker in the Clinical

Development and Adoption—Topic-Contributed

10:35 a.m. Crustal Matter: Exploring the Differences Between

Ambient Air Samples and Emissions Inventory—

Jennifer M. James, North Carolina State University

;

Camille Clark, North Carolina State University

; Jeff

Rice, North Carolina State University

10:55 a.m. Forecasting Wildfires and Examining the Impact of Global Climate Change—Jamie Pearce, North

Carolina State University

; ◆Jason Leone, North

Carolina State University

; Kristen L. Gore, North

Carolina State University

11:15 a.m. Meteorologically Adjusted Particulate Matter Trend

Analysis—◆Kristen L. Gore, North Carolina State

University ; Marshall Gaddis, North Carolina State

University

; Nicole Bader, North Carolina State

University

11:35 a.m. Can Blood Lead Levels in Children Be Reduced?—

Steve Somers, North Carolina State University

;

Ashley Myers, North Carolina State University

;

Erika Burger, North Carolina State University

11:55 a.m. Disc: Roger Woodward, North Carolina

State University

12:15 p.m. Floor Discussion

10:35 a.m. Biomarker and Clinical Endpoint in Asthma—

Yun Chon, Amgen, Inc.

10:55 a.m. Identification of Patient Stratification Biomarkers for ABT-263—◆Viswanath Devanarayan, Abbott

Laboratories ; Mark Anderson, Abbott Laboratories;

Peter Ansell, Abbott Laboratories

; Chris Tse, Abbott

Laboratories

; Stephen Tahir, Abbott Laboratories

Washington, DC 203

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

462 CC-208A

Bayesian Estimation of Diffusion Models—

Topic-Contributed

Business and Economic Statistics Section, Section on Bayesian

Statistical Science

Organizer(s): Osnat Stramer, The University of Iowa

Chair(s): Osnat Stramer, The University of Iowa

10:35 a.m.

Bayesian Filtering for Jump-Diffusions—◆Andrew

Golightly, Newcastle University

10:55 a.m. Estimation of Continuous-Time Stochastic Volatility

Models with Jumps Using High-Frequency Data—

Viktor Todorov, Northwestern University

11:15 a.m. Bayesian Inference for Discretely Sampled Diffusion

Processes—◆Matthew Bognar, The University of Iowa

11:35 a.m. Particle Filter for Partially Observed Stochastic

Partial Differential Equation with Fractional Levy

Ornstein-Uhlenbeck Stochastic Volatility—

Jaya Bishwal, The University of North

Carolina at Charlotte

11:55 a.m. EMM MCMC and Bayesian Parameter Estimation for a Partially Observed Nonlinear Diffusion

Process—◆Paul Schneider, University of

Warwick ; Osnat Stramer, The University of Iowa

12:15 p.m. Floor Discussion

463 CC-102B n

Statistical Issues in Thorough QT Studies—

Topic-Contributed

Biopharmaceutical Section

Organizer(s): Yi Tsong, FDA

Chair(s): Lihan Yan, FDA

Topic-Contributed Panels

10:30 a.m.–12:20 p.m.

464 CC-202A n

Industry-Sponsored Science: Are Consultants

Really Biased?—Topic-Contributed

Section on Statistics in Epidemiology

Organizer(s): Michael E. Ginevan, M.E. Ginevan & Associates

Chair(s): Russell W. Helms, UNC Department of Biostatistics and

Chief Technical Officer at Rho

Panelists:

Michael E. Ginevan, M.E. Ginevan & Associates

S. Stanley Young, National Institute of

Statistical Sciences

Allen Heller, Bayer HealthCare Pharmaceuticals

Peter A. Lachenbruch, Oregon State University

Robert Obenchain, Risk Benefit Statistics LLC

12:10 p.m. Floor Discussion

465 n

Words from the Wise: Mu Sigma Rho

Education Award Winners Tell All!—

Topic-Contributed

Section on Statistical Education

Organizer(s): Roxy Peck, Cal Poly

Chair(s): Roxy Peck, Cal Poly

CC-149B

Panelists:

Robin H. Lock, St. Lawrence University

Thomas H. Short, John Carroll University

Michael Kutner, Emory University

12:05 p.m. Floor Discussion

10:35 a.m.

Error in Variable Modeling for QT Correction—

Bin Cheng, Columbia University

; Yi Tsong, FDA

10:55 a.m. Multiple Testing Issues of Prolongation Thorough

QTc Clinical Trials—Yi Tsong, FDA; ◆Jinglin Zhong,

FDA

; Joanne Zhang, FDA

11:15 a.m. Adaptive type I error rate spending approach for validation and non-inferiority tests of thorough QT studies—◆Yi Tsong, FDA; Joanne Zhang, FDA

11:35 a.m. Sample Size in Oncology QT Studies—◆Joanne

Zhang, FDA

11:55 a.m. Disc: Jie Chen, Merck & Co., Inc.

12:15 p.m. Floor Discussion

466 CC-143A

J

National Health Care Surveys Design Changes

2004–2010: New Evidence for Policymakers—

Topic-Contributed

Section on Survey Research Methods, Section on

Government Statistics

Organizer(s): Esther Hing, National Center for Health Statistics

Chair(s): Esther Hing, National Center for Health Statistics

Panelists:

Linda McCaig, National Center for Health Statistics

Alan Simon, National Center for Health Statistics

Sandra L. Decker, National Center for

Health Statistics

Lauren Harris-Kojetin, National Center for

Health Statistics

12:15 p.m. Floor Discussion

204 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Contributed Sessions

10:30 a.m.–12:20 p.m.

467

Analysis of High-Dimensional Data—

Contributed

ENAR, Interface Foundation of North America

Chair(s): Mary Mays, Arizona State University

SSC

CC-204A

10:35 a.m. Lower Confidence Bounds for Prediction Accuracy in High Dimensions with Feature Selection—◆Kevin

K. Dobbin, The University of Georgia

10:50 a.m. Application of Randomized Singular Value

Decomposition for Partial Least Squares Analysis:

Multimodality Neuroimaging Data—◆Bedda

L. Rosario, University of Pittsburgh

; Lisa A.

Weissfeld, University of Pittsburgh ; William E.

Klunk, University of Pittsburgh ; Chester A. Mathis,

University of Pittsburgh

; Julie C. Price, University of Pittsburgh

11:05 a.m.

The Effects of Dimension of Wavelet Resampling on

Tests for Functional Connectivity—◆Ohn Jo Koh,

Southern Methodist University

; William Schucany,

Southern Methodist University

; Richard F. Gunst,

Southern Methodist University ; Wayne A. Woodward,

Southern Methodist University

11:20 a.m. Testing for Gene Effect in Presence of Gene-Gene

Interactions—◆Arnab Maity, Harvard School of

Public Health ; Xihong Lin, Harvard School of

Public Health

11:35 a.m. Clinical versus Statistical Significance in Medical

Imaging—◆Thomas F. Heston, Johns Hopkins

University

; Richard L. Wahl, Johns Hopkins

University

11:50 a.m. Blind Source Detection in Images: A Multiple

Testing Strategy—◆David A. Friedenberg, Carnegie

Mellon University

12:05 p.m. The Orthogonal Interactions Model for Unreplicated

Factorial Experiments—◆Clayton A. Barker, SAS

Institute Inc.

; Leonard A. Stefanski, North Carolina

State University

; Jason Osborne, North Carolina

State University

468 CC-148

Survival Analysis and Semiparametric Models—

Contributed

Chair(s): Paramjit S. Gill, The University of British Columbia

10:50 a.m. Weighted Composite Endpoints in the Analysis of Cardiovascular Clinical Trial Data: Addressing an Unmet Need—◆Jeffrey A. Bakal, University of Alberta

; Cynthia M. Westerhout, University of

Alberta

; Robert C. Welsh, University of Alberta;

Paul W. Armstrong, University of Alberta

11:05 a.m.

Semiparametric Inference for a Time-Dependent

Extended Hazard Model—◆Yi-Kuan Tseng,

National Central University ; Ken-Ning Hsu,

National Central University

11:20 a.m. M-Estimation in Censored Linear Models Under a

Convex Discrepancy Function—◆Weihua Zhou,

University of North Carolina

11:35 a.m. Assessing Mediation Effects for Survival Types of Outcomes—Bin Huang, Cincinnati Children’s

Hospital Medical Center

; ◆Chen Chen, Cincinnati

Children’s Hospital Medical Center

12:05 p.m. Floor Discussion

469 CC-144A

Methods to Look at Individual or Small-Group

Behavior and the Impact on Data—Contributed

Social Statistics Section

Chair(s): Walter Hill, Saint Mary’s College of Maryland

10:35 a.m. Multivariate, Multilevel Modeling of Behavioral

Interaction Data—◆Getachew A. Dagne, University of South Florida

10:50 a.m. Plaid Clustering of Urban Juvenile Delinquency and Recidivism Data—◆Alan J. Izenman, Temple

University

; Joseph Jupin, Temple University

11:05 a.m. A New Heuristic Search Model for the Identification of Collusion Sets in Agent-Based Models—

Gregory Michaelson, University of Alabama

;

Marcus Perry, University of Alabama

11:20 a.m. Nonparametric Estimation of Individual Activity

Spaces—◆William F. Darnieder, The Ohio State

University

; Catherine Calder, The Ohio State

University

; Mei-Po Kwan, The Ohio State University;

Timothy L. Hawthorne, The Ohio State University ;

Aubrey Jackson, The Ohio State University

11:35 a.m. POINT: A Method for Evaluating the Quality of Interviewing—◆Michael Egan, Social

Surveys Division

11:50 a.m. Leadership Behavior: A Comparative Study of Multiple Regression and the Multilevel

Regression—◆Shahid Kamal, University of the

Punjab

; Rehan Ahmad, University of the Punjab;

Muhammad A. Raza, University of the Punjab

12:05 p.m. Floor Discussion

10:35 a.m. Accelerated Hazards Mixture Cure Model—

Yingwei Peng, Queen’s University ; Jiajia Zhang,

University of South Carolina

Washington, DC 205

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

470 CC-204B

Methods for Genetic Association Studies—

Contributed

Section on Statistics in Epidemiology, Section on Bayesian

Statistical Science

Chair(s): Sansay Shete, The University of Texas M.D. Anderson

Cancer Center

10:35 a.m.

On Quality Control Measures in Genome-Wide

Association Studies: A Test to Assess the

Genotyping Quality of Individual Probands in

Family-Based Association Studies—◆David

Fardo, University of Kentucky ; Iuliana Ionita-Laza,

Harvard School of Public Health ; Christophe

Lange, Harvard University

10:50 a.m. On Combining Data from Genome-Wide

Association Studies to Discover Disease-

Associated SNPs—◆Ruth Pfeiffer, National Cancer

Institute

; Mitchell H. Gail, National Cancer Institute

11:05 a.m. A Generalized Sequential Bonferroni Procedure for

Genome-Wide Association Studies Incorporating

Information of Hardy-Weinberg Disequilibrium—

Guolian Kang, The University of Alabama at

Birmingham ; Guimin Gao, The University of

Alabama at Birmingham

11:20 a.m. Score Statistics for Family-Based Genetic

Association Studies of Quantitative Traits—

Samsiddhi Bhattacharjee, National Cancer

Institute

; Eleanor Feingold, University of Pittsburgh

11:35 a.m. A Powerful Two-Stage Association Test Using

Genotype Data from Family Triads, Unrelated

Cases, and/or Controls—◆Jin-Hua Chen, China

Medical University

; Kuang-Fu Cheng, China Medical

University

; Wei-Jiun Lin, National Central University

11:50 a.m. Confidence Set Inference (CSI): A Family-Based

Association Method for Obtaining Confidence Sets of SNPs Regulating Quantitative Phenotypes—

Charalampos Papachristou, University of the

Sciences in Philadelphia ; Shili Lin, The Ohio

State University

12:05 p.m. Asymptotic Bayes Factor for Genetic Association

When the Underlying Genetic Model Is Unknown—

Mark J. Meyer, National Heart, Lung, and Blood

Institute

; Gang Zheng, National Heart, Lung, and

Blood Institute

471 n J

Applications of Graphical Methods—

Contributed

CC-153

Section on Statistical Graphics

Chair(s): Bradley C. Wallet, University of Oklahoma

10:35 a.m. How Good is Your Eyeballing?—◆David Rockoff,

Iowa State University ; Heike Hofmann, Iowa

State University

10:50 a.m. Multivariate Quantiles and High-Dimensional

Credible Set Construction—◆Nitai D.

Mukhopadhyay, Virginia Commonwealth

University

; Snigdhansu Chatterjee, The

University of Minnesota

11:05 a.m. Multivariate Disease Mapping (MVDM)—Caroline

Jeffery, Harvard School of Public Health

; ◆Al

Ozonoff, Boston University School of Public Health

;

Marcello Pagano, Harvard School of Public Health

11:20 a.m.

Graphically Analyzing Multivariate Mental Health

Data: Results from a Cohort of Older Patients

Recently Discharged from a Medical Intensive Care

Unit—◆Peter H. Van Ness, Yale University

11:35 a.m. On Some Properties of a Simple and More General

Boxplot Method for Identifying Outliers—◆Yinaze

H. Dovoedo, The University of Alabama

; Subhabrata

Chakraborti, The University of Alabama

11:50 a.m. A Graphical Test to Distinguish Between the Pareto and Tapered Pareto Distributions—◆Rakhee D.

Patel, University of California, Los Angeles

12:05 p.m. Reigniting Classroom Research as a Tool for

Accountability—◆Ronald L. White, Norfolk

State University

472 CC-149A

Applied Programming Session—Contributed

Section for Statistical Programmers and Analysts, Interface

Foundation of North America

Chair(s): Yong-Fang Kuo, The University of Texas Medical Branch

10:35 a.m.

Interactive Computer Program for Optimal Designs of Longitudinal Cohort Studies—◆Fetene B. Tekle,

Tilburg University

; Frans E.S. Tan, Maastricht

University ; Martijn Berger, Maastricht University

10:50 a.m. It All Starts with Statistical Programming—◆Nancy

Wang, MDS Pharma Services

11:05 a.m. Comparing Statistical Software Packages for Multilevel Modeling—◆Marie Gantz, RTI

International

; G. Gordon Brown, RTI International;

Randall Bender, RTI International ; Jill Fromewick,

Summit Research Associates

; Scott Novak, RTI

International

; Dhuly Chowdhury, RTI International;

Malavika Subramanyam, Harvard School of Public

Health

; Theresa L. Osypuk, Northeastern University

11:20 a.m. Open Source Estimation Toolkit for Item Response

Theory Modeling—◆Werner Wothke, American

Institutes for Research

11:35 a.m. Categorical Data Analysis System—◆Yining Wang,

Johnson & Johnson

; C. J. Tian, Johnson & Johnson;

Lisa Zhou, Johnson & Johnson PRD

11:50 a.m. Efficacy Analysis System for Clinical Trials—◆Lisa

Zhou, Johnson & Johnson PRD

; Yining Wang,

Johnson & Johnson

; C. J. Tian, Johnson & Johnson

206 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

12:05 p.m. Arrow System: An Integrated Statistical Analysis and Reporting System for Clinical Data—◆C. J.

Tian, Johnson & Johnson

; Denis Michel,

Johnson & Johnson

473

Genome-Wide Analysis—Contributed

CC-203A

Biometrics Section, Section on Bayesian Statistical Science

Organizer(s): Li Luo, The University of Texas School of Public Health

Chair(s): Li Luo, The University of Texas School of Public Health

11:20 a.m. Using Ambiguous Tags in Digital Gene Expression

Analysis—◆Naomi S. Altman, Penn State University

11:35 a.m. Dynamic Clustering of Temporal Gene Expression

Across Conditions—◆Lingling An, University of Arizona

11:50 a.m. A Statistical Model for the Identification of Genes

Governing the Incidence of Cancer with Age—

Kiranmoy Das, Penn State University

12:05 p.m. An Integrated Approach to Identify Critical miRNAs and Their Regulatory Roles in Corresponding

Genes in Cancer Development—◆Yian A. Chen,

Moffitt Cancer Center

; Dung-Tsa Chen, Moffitt

Cancer Center & Research Institute

10:35 a.m. Exploratory Analysis of Failure Times with Genomic

Applications—◆Cheng Cheng, St. Jude Children’s

Research Hospital

10:50 a.m. A Novel Approach to Learning Gene Association

Networks from High-Dimensional Data—◆Jie

Cheng, GlaxoSmithKline

; Xiwu Lin, GlaxoSmithKline;

Kwan R. Lee, GlaxoSmithKline

11:05 a.m. A Unified Procedure for Evaluating HWE and

Association in Genome-Wide Association Studies

That Reduces False Positives—◆Stefan Boehringer,

Institut für Humangenetik

; Hajo Holzmann,

Universität Marburg

; Johannes Hebebrand,

University of Duisburg-Essen

11:20 a.m. Power of Genetic Association Studies with Fixed and Random Genotype Frequencies—◆Julia

Kozlitina, The University of Texas Southwestern

Medical Center at Dallas

; William Schucany,

Southern Methodist University

11:35 a.m. Hierarchical Generalized Linear Models for Multiple

QTL Mapping—◆Nengjun Yi, The University of

Alabama at Birmingham

11:50 a.m. Floor Discussion

474 CC-203B

Gene Expression and DNA Sequencing—

Contributed

Biometrics Section

Chair(s): Jing He, University of Pennsylvania

475

Test—Contributed

IMS

Chair(s): Min Qian, University of Michigan

CC-160

10:35 a.m. A Goodness-of-Fit Test for a Generalized Inverse

Gaussian Based on the Matsumoto-Yor Property—

Severien Nkurunziza, University of Windsor

;

Angelo E. Koudou, Institut Elie Cartan

10:50 a.m. Weighted Likelihood Ratio Tests for Exponential

Distributions—◆Jiqiang Guo, Iowa State University

11:05 a.m.

Asymptotically Efficient Tests for Goodness-of-Fit—

Yongzhao Shao, Iowa State University

; Ming

Zhou, Iowa State University

; Jiqiang Guo, Iowa

State University

11:20 a.m. A New Test for Normality—◆Ming Zhou, Iowa State

University

; Yongzhao Shao, Iowa State University

11:35 a.m.

Testing for Independence Between a Time Series and a Point Process—◆Victor Solo, University of

New South Wales

11:50 a.m. A Powerful and Robust Test Statistic for

Randomization Inference in Group Randomized

Trials—◆Kai Zhang, University of Pennsylvania;

Dylan Small, University of Pennsylvania

12:05 p.m.

Optimal Configuration of a Square Array Group

Testing Algorithm—Michael Hudgens, The University of North Carolina at Chapel Hill

; ◆Hae-Young Kim,

New England Research Institutes

10:35 a.m. Estimation of Parameters Subject to Order

Restrictions on a Circle with Application to

Estimation of Phase Angles of Cell Cycle Genes—

Cristina Rueda, Universidad de Valladolid

; Miguel A.

Fernández, Universidad de Valladolid

; ◆Shyamal D.

Peddada, National Institute of Environmental

Health Sciences

10:50 a.m. A Statistical Test for Detecting Variability in the Gene

Expression Data Using Pair-Wise Comparisons—

Sunil Mathur, The University of Mississippi

11:05 a.m. Model-Based Classifications for Multiple Conditions on the Temporal Gene Expressions—◆Dianliang

Deng, University of Regina

Washington, DC 207

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

476 CC-102A n

Interrater Agreement, Quality of Life, and

Observational Studies—Contributed

Biopharmaceutical Section

Chair(s): Jennifer E. Hamer-Maansson, AstraZeneca

Pharmaceuticals

10:35 a.m.

A General Class of Agreement Coefficients for

Categorical and Continuous Responses—◆Wei

Zhang, Quintiles, Inc.

; Vernon M. Chinchilli, Penn

State University

10:50 a.m. An Observational Error Model to Investigate

Discordance in Oncology Studies with Progression-

Free Survival—◆Frank Mannino, GlaxoSmithKline;

Ohad Amit, GlaxoSmithKline

11:05 a.m. Predictive Accuracy in Time-to-Event Data:

Application to Evaluation of Pneumonia Severity

Indexes—◆Guy N. Brock, University of Louisville;

Forest W. Arnold, University of Louisville

; Paula

Peyrani, University of Louisville

; Julio A. Ramirez,

University of Louisville

11:20 a.m. Identifiability of Causal Diagram and Its

Application—◆Kun Nie, Amgen, Inc.

11:35 a.m. Multiple Imputation Compared with Single

Imputation Methods in the Analysis of

Observational Data with Incomplete Covariate

Information—◆Sunni A. Barnes, Baylor Health Care

System

; Dunlei Cheng, Baylor Health Care System;

David Nicewander, Baylor Health Care System

Yahya Daoud, Baylor Health Care System

;

11:50 a.m. Detecting Fraudulent Data in Clinical Trials—◆Bret

Musser, Merck Research Laboratories

12:05 p.m.

Analysis of Method Comparison Studies with

Multiple Methods—◆Pankaj K. Choudhary, The

University of Texas at Dallas

; Kunshan Yin, EQECAT

477

Statistical Methods for Analyzing

Socioeconomic Data—Contributed

Business and Economic Statistics Section

Chair(s): John Bremer, Harris Interactive

CC-208B

10:35 a.m. Application of Variable Selection Method via

Spectral Analysis to Seasonal Linear Models in

Some Call Volume Forecasting—◆Myung Suk Kim,

Sogang University ; Taek Soo Shin, Citi Bank

10:50 a.m. Nonresponse Bias Study for the Annual Capital

Expenditures Survey—◆Justin Z. Smith, U.S.

Census Bureau ; Katherine J. Thompson, U.S.

Census Bureau

11:05 a.m. Finding Unexpected Interactions in Discrete Choice

Experiments: A Case Study—◆John Lawson,

Brigham Young University

11:20 a.m. Regression for Recovery Rates with Both

Continuous and Discrete Characteristic—

Raffaella Calabrese, University of Milan-Bicocca

11:35 a.m. A Semiparametric Bayesian Approach to Account for Missing Covariates in Choice Models—

Yi Qian, Northwestern University

; Hui Xie,

University of Illinois

11:50 a.m. Statistical Assessment of Patent Validity—

Alejandro Veen, IBM Research

12:05 p.m. Using Backward Means to Eliminate Individual

Effects from Dynamic Panels—◆Gerdie Everaert,

Ghent University

478 CC-141 n

Developments in Complex Sample Design—

Contributed

Section on Survey Research Methods

Chair(s): John M. Finamore, U.S. Census Bureau

10:35 a.m. Link-Tracing Sampling: Estimating the Size of a

Hidden Population in Presence of Heterogeneous

Nomination Probabilities—◆Martin H. Felix-

Medina, Universidad Autonoma de Sinaloa ; Pedro E.

Monjardin, Universidad Autonoma de Sinaloa

; Aida

Nohemi Aceves-Castro, Escuela de Ciencias Fisico-

Matematicas, Universidad Autonoma de Sinaloa

10:50 a.m. Adjusting Sampling and Weighting to Account for

Births and Deaths—◆Lawrence R. Ernst, Bureau of

Labor Statistics

; Randall K. Powers, Bureau of Labor

Statistics

; Andy Sandler, Bureau of Labor Statistics;

Dave Slack, Bureau of Labor Statistics

11:05 a.m. Sample Design and Estimation of Volumes and

Trends in the Use of Paper Checks and Electronic

Payment Methods in the United States—◆May

X. Liu, Federal Reserve Board

; Geoffrey R. Gerdes,

Federal Reserve Board

; Darrel W. Parke, Federal

Reserve Board

11:20 a.m.

An Application of Two-Way Stratification Procedure for Selection Under Three-Way Stratification—

Kadaba P. Srinath, Abt Associates Inc.

11:35 a.m. Modified Network Sampling Without Replacement—

Monroe Sirken, National Center for Health

Statistics

11:50 a.m. Longitudinal Surveys versus Continuous Surveys and Surveys with Flexible Periodicity—◆Andrew

Vogt, Georgetown University

; Dhiren Ghosh,

Synectics for Management Decisions Inc.

12:05 p.m. A Russian Invasion, Skeptical Villagers, and

Controversial Elections: The ‘Power’ Plays Faced by Randomized Impact Evaluations in Developing

Countries—◆Celeste Tarricone, Millennium

Challenge Corporation

208 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

479 CC-142

Analysis of Complex Survey Data—Contributed

Section on Survey Research Methods

Chair(s): Yves Thibaudeau, U.S. Census Bureau

Roundtables with Lunch

12:30 p.m.–1:50 p.m.

10:35 a.m. A Study of the Composite Estimator for Change

Rate—Dong-Yun Shin, Hankuk University of Foreign

Studies

; ◆Heungsun Park, Hankuk University of

Foreign Studies

10:50 a.m. A Simulation Study of Treatments of Influential

Values in a Monthly Retail Trade Survey—Mary H.

Mulry, U.S. Census Bureau

; ◆Broderick Oliver,

U.S. Census Bureau

11:05 a.m. Multiple Imputation for Missing Items in Multi-

Section Questionnaires—◆Rong Liu, Penn State

University

; Joseph L. Schafer, Penn State University

11:20 a.m.

A Bayesian Approach to Predicting the Electoral

Vote Totals for the 2008 Presidential Election—

Steven E. Rigdon, Southern Illinois University

Edwardsville ; Sheldon H. Jacobson, University of Illinois ; Edward C. Sewell, Southern Illinois

University Edwardsville

; Wendy K.T. Cho,

University of Illinois

; Christopher J. Rigdon,

Arizona State University

11:35 a.m. Estimation Procedure for New Public Employment

Survey Design—◆Yang Cheng, U.S. Census Bureau;

Joseph Barth, U.S. Census Bureau

; Casey Corcoran,

U.S. Census Bureau ; Carma Hogue, U.S.

Census Bureau

11:50 a.m. Election Day 2008 Voter Scorecard—◆Kate Hobson,

NORC at the University of Chicago ; Edward Mulrow,

NORC at the University of Chicago ; Hee-Choon Shin,

NORC at the University of Chicago

; Fritz Scheuren,

NORC at the University of Chicago

12:05 p.m. Floor Discussion

481 CC-Ballroom South Prefunction

Biopharmaceutical Section Roundtables with

Lunch (fee event)

Biopharmaceutical Section

Organizer(s): Dionne Price, FDA

WL10 Issues and Challenges in Modeling Bioassay Data—

Jason Liao, Merck Research Laboratories

WL11 Advanced Oncology Trial Designs—◆Mingxiu Hu,

Millennium Pharmaceuticals/The Takeda

Oncology Company

WL12 Adaptive Clinical Trials: Interim Data Analysis

Challenges—◆Darcy Hille, Merck & Co., Inc.;

Paulette Ceesay, Merck & Co., Inc.

WL13 The Role of the Unblinded Statistician and Their

Relationship with the DSMB—◆Valerie Durkalski,

Medical University of South Carolina

WL14 Retrospective Studies of Biomarkers: How Can They

Improve Our Understanding of Drug Use?—◆Estelle

Russek-Cohen, FDA

WL15 Clinical Trials in Practice: Designs, Monitoring, and Data

Analysis—◆Daohai Yu, H. Lee Moffitt Cancer Center &

Research Institute

482 CC-Ballroom South Prefunction

Section on Bayesian Statistical Science

Roundtable with Lunch (fee event)

Section on Bayesian Statistical Science

Organizer(s): Alyson Wilson, Iowa State University

Speaker with Lunch

12:30 p.m.–1:50 p.m.

WL16 Bayesian Adaptive Designs—◆Keying Ye,

The University of Texas at San Antonio

480 CC-301

Section on Health Policy Statistics Speaker with

Lunch (fee event)—Speaker with Lunch

Section on Health Policy Statistics

Organizer(s): Susan Paddock, RAND Corporation

483 CC-Ballroom South Prefunction

Section on Government Statistics Roundtable with Lunch (fee event)

Section on Government Statistics

Organizer(s): Lisa Blumerman, U.S. Census Bureau

WL09 Aligning Provider Incentives: Pay for Performance and

Beyond—◆Meredith B. Rosenthal, Harvard School of

Public Health

WL17 Metadata: Making It Work for Federal Statistics—◆Shawna

Waugh, Energy Information Administration

; Daniel W.

Gillman, Bureau of Labor Statistics

Washington, DC 209

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

484 CC-Ballroom South Prefunction

Section on Nonparametric Statistics Roundtable with Lunch (fee event)

Section on Nonparametric Statistics

Organizer(s): Edsel A. Pena, University of South Carolina

488 CC-Ballroom South Prefunction

Section on Statistics in Defense and National

Security Roundtable with Lunch (fee event)

Section on Statistics in Defense and National Security

Organizer(s): Jeffrey L. Solka, Naval Surface Warfare Center

WL26 Statistics versus Operations Research in Defense

Analysis—◆Ron Fricker, Naval Postgraduate School

WL18 Nonparametric Test Procedures and High-Dimensional

Multiple Testing: Are They Compatible?—◆Edsel A. Pena,

University of South Carolina

485 CC-Ballroom South Prefunction

Section on Physical and Engineering Sciences

Roundtables with Lunch (fee event)

Section on Physical and Engineering Sciences

Organizer(s): George Ostrouchov, Oak Ridge National Laboratory

489 CC-Ballroom South Prefunction

Section on Survey Research Methods

Roundtables with Lunch (fee event)

Section on Survey Research Methods

Organizer(s): Michael Elliott, University of Michigan

WL19 Parallel Statistical Computing with R—◆Hao Yu,

University of Western Ontario

WL20 Future of Nuclear Power—◆Bernard Harris,

University of Wisconsin

WL27 Imputation Methods for Complex Survey Data: Best

Practices and Next Steps—◆Michael D. Larsen, Iowa

State University

WL28

CANCELLED

486 CC-Ballroom South Prefunction

Section on Statistical Consulting Roundtables with Lunch (fee event)

Section on Statistical Consulting

Organizer(s): Walter Ambrosius, Wake Forest University School of Medicine

490 CC-Ballroom South Prefunction

Social Statistics Section Roundtables with

Lunch (fee event)

Social Statistics Section

Organizer(s): Joseph J. Salvo, NYC Department of City Planning

WL29 Leveraging Advances in Cyberinfrastructure to Provide

Secure Access to Sensitive Data, Preserve Data, and

Create Virtual Scientific Communities—◆Timothy M.

Mulcahy, NORC at the University of Chicago

WL21 Academic Statistical Consulting Centers Serving

Commercial Clients—◆Sam Woolford, Bentley University

WL22 Indemnification for Consultants and DSMB Members:

Who Protects Whom?—◆Janet Wittes, Statistics

Collaborative, Inc.

Special Presentation

2:00 p.m.–3:50 p.m.

487 CC-Ballroom South Prefunction

Section on Statistical Education Roundtables with Lunch (fee event)

Section on Statistical Education

Organizer(s): Tisha L. Hooks, Winona State University

491 CC-207A

Introductory Overview Lecture: Causal Inference in Statistics—Other

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Wendy Martinez, U.S. Department of Defense

Chair(s): Wendy Martinez, U.S. Department of Defense

WL23 Statistics in K-12 Math Is Necessary for Career Success and Informed Citizenship—◆Arnold Goodman,

Collaborative Data Solutions

WL24 Audience Response Systems (aka ‘Clickers’ and

‘Remotes’) and Active Learning: Pluses and Minuses—

Megan E. Mocko, University of Florida

WL25 Incorporating Brain-Based Learning Principles in Statistics

Education—◆Paul J. Fields, Brigham Young University

2:05 p.m.

Causal Inference in Statistics: A Gentle

Introduction—◆Judea Pearl, University of

California, Los Angeles

3:30 p.m. Floor Discussion

210 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Invited Sessions 2:00 p.m.–3:50 p.m.

492

Nonparametric Methods for Small-Area

Estimation—Invited

CC-150A

Section on Survey Research Methods, Section on Statistics and the Environment

Organizer(s): Jean Opsomer, Colorado State University

Chair(s): Jean Opsomer, Colorado State University

2:05 p.m.

Fence Method for Prediction Problems and Its

Application in Small Area Estimation—◆Jiming

Jiang, University of California, Davis

; Thuan Nguyen,

Oregon Health & Science University

; J. Sunil Rao,

Case Western Reserve University

2:30 p.m. Borrowing Strength Over Space in Small Area

Estimation: Comparing Local and Spline-Based

M-Quantile Models with Spatial Autoregressive

Random Effects Models—◆Nikos Tzavidis,

University of Manchester

2:55 p.m. Robust Small Area Estimation Under Penalized

Spline Mixed Models—◆J.N.K. Rao, Carleton

University

; Sanjoy K. Sinha, Carleton University

3:20 p.m. Design-Based Model Consistent Estimator for the Nested-Error Regression—◆Tapabrata Maiti,

Michigan State University

; Lixia Diao, The University of Texas M.D. Anderson Cancer Center

; Jean

Opsomer, Colorado State University

3:45 p.m. Floor Discussion

494 CC-206 n

Challenges in Statistical Learning and Variable

Selection for High-Dimensional Data—Invited

IMS

Organizer(s): Yichao Wu, North Carolina State University

Chair(s): Yichao Wu, North Carolina State University

2:05 p.m.

Ultra High-Dimensional Variable Selection: Beyond the Linear Model—◆Richard Samworth, University of Cambridge

; Jianqing Fan, Princeton University;

Yichao Wu, North Carolina State University

2:35 p.m. The Large Margin Unified Machine: A Bridge

Between Hard and Soft Classification—◆Yufeng

Liu, The University of North Carolina at Chapel Hill

;

Hao (Helen) Zhang, North Carolina State University

3:05 p.m. Instability Measures and Model Averaging—

Dennis D. Boos, North Carolina State University

;

Leonard A. Stefanski, North Carolina State University

3:35 p.m. Floor Discussion

495 CC-143A n

Advanced Monte Carlo Methods—Invited

Section on Statistical Computing, Section on Bayesian Statistical

Science, Interface Foundation of North America

Organizer(s): Yuguo Chen, University of Illinois at Urbana-

Champaign

Chair(s): Yuguo Chen, University of Illinois at Urbana-Champaign

493 CC-202B n J

Issues in Translating Innovative Phase I

Designs Into Oncology Trials—Invited

Biopharmaceutical Section, International Chinese

Statistical Association

Organizer(s): William L. Mietlowski, Novartis Oncology

Chair(s): William L. Mietlowski, Novartis Oncology

2:05 p.m.

Computational Methods for Bayesian Model

Choice—◆Christian P. Robert, Université

Paris Dauphine ; Jean-Michel Marin, University

Montpellier II

2:35 p.m. Auxiliary Variable MCMC with Applications in

Protein Structure Modeling—◆Jun S. Liu, Harvard

University

; Kou X. Sam, Harvard University

3:05 p.m. Approximate Bayesian Computation: What, Why, and When?—◆Simon Tavare, University of

Southern California

3:35 p.m. Floor Discussion

2:05 p.m.

Translation of Innovative Designs Into Cancer

Phase I Trials—◆Andre Rogatko, Cedars-Sinai

Medical Center

2:30 p.m. Challenges in the Implementation of Adaptive

Phase I Clinical Trial Designs for Biologic Agents and Molecularly Targeted Therapies—◆Daniel

Sargent, Mayo Clinic

; Sumithra Mandrekar, Mayo

Clinic

; Rui Qin, Mayo Clinic

2:55 p.m.

Ups and Downs of Implementing BLR-EWOC

Guided Dose Escalation at Novartis Oncology—

Jyotirmoy Dey, Novartis Pharmaceuticals

3:20 p.m.

Disc: Michael Brave, FDA

3:40 p.m. Floor Discussion

496 CC-204A n J

Quantifying Mortality from Genocide and Crimes Against Humanity: Issues and

Methods—Invited

Committee on Scientific Freedom and Human Rights, Social

Statistics Section, Section on Government Statistics

Organizer(s): William Seltzer, Fordham University

Chair(s): Mary Gray, American University

2:05 p.m.

Conceptual Issues in Quantifying Genocide, Crimes

Against Humanity, and War Crimes—◆William

Seltzer, Fordham University

Washington, DC 211

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:30 p.m. Methodological Issues in Gathering and Analyzing

Data on Genocide Mortality—◆Safaa R. Amer,

NORC at the University of Chicago

2:55 p.m. Mortality from Genocide and Crimes Against

Humanity: A Field-Based Perspective on Linking

Data, Method, and Policy Objectives—

Romesh Silva, Benetech

3:20 p.m.

Disc: Jana Asher, Carnegie Mellon University

3:40 p.m. Floor Discussion

3:05 p.m. Statistical Inference on the Residual Risk Metric of the Quantitative Security-Meter Model Using

Triple-Uniform Density—◆Mehmet Sahinoglu,

Auburn University Montgomery ; Yanling Yuan,

Troy University Montgomery

; David Banks,

Duke University

3:35 p.m. Floor Discussion

497 CC-159A n

New Developments for the Analysis of Spatial and Temporal Systems in Ecology—Invited

Section on Statistics and the Environment, Section on

Government Statistics

Organizer(s): Mevin B. Hooten, Utah State University

Chair(s): Ali Arab, Georgetown University

499 CC-143C n

Extracting Information from Images—Invited

Section on Physical and Engineering Sciences, Section on

Statistical Graphics, Section on Quality and Productivity, Interface

Foundation of North America

Organizer(s): Joanne R. Wendelberger, Los Alamos

National Laboratory

Chair(s): Joanne R. Wendelberger, Los Alamos National Laboratory

2:05 p.m.

A Moving Average Approach for Spatial Statistical

Models of Stream Networks—◆Jay Ver Hoef, NOAA

National Marine Mammal Lab

2:30 p.m. Modeling Scales of Variability of Harmful Algae

Blooms in the Indian River Lagoon, Florida—

Mary C. Christman, University of Florida

2:55 p.m. Modeling Animal Movement in Response to

Landscapes—◆Jun Zhu, University of

Wisconsin-Madison

3:20 p.m. Simultaneous Cellular Movement Models for

Resource Selection—◆Devin Johnson, National

Marine Mammal Laboratory

; Mevin B. Hooten,

Utah State University

3:45 p.m. Floor Discussion

2:05 p.m.

FDA for Tree-Structured Data Objects—

J. Steve Marron, The University of North

Carolina at Chapel Hill

2:30 p.m. Feature Detection Techniques for Proteomic

Data Analysis—◆Kimberly F. Sellers, eorgetown University

2:55 p.m. Same or Different? Identifying Similarities and

Computing Distances Between Images—◆Kary

Myers, Los Alamos National Laboratory

3:20 p.m. Image Measurements in a Statistical Study of

Corrosion—◆Leslie M. Moore, Los Alamos National

Security, LLC

; Joanne R. Wendelberger, Los Alamos

National Laboratory

; Roland K. Schulze, Los Alamos

National Security, LLC ; Mary A. Hill, Los Alamos

National Security, LLC

3:45 p.m. Floor Discussion

498 CC-150B n J

Quantitative Security and Cybersystems—

Invited

Section on Risk Analysis

Organizer(s): Mehmet Sahinoglu, Auburn University Montgomery

Chair(s): Bertrand Clarke, The University of British Columbia/

University of Miami

500 CC-159B

JASA, Applications and Case Studies Invited

Session—Invited

JASA, Applications and Case Studies, Section on Bayesian

Statistical Science

Organizer(s): David Banks, Duke University

Chair(s): David Banks, Duke University

2:05 p.m. Statistical Inference and Simulation on Security

Metrics in Cloud Computing for Large Cyber

Systems—◆Luis A. Cueva-Parra, Auburn University

Montgomery

; Mehmet Sahinoglu, Auburn

University Montgomery

; David Tyson, Auburn

University Montgomery ; Sunil Das, Troy University

Montgomery

2:35 p.m.

Some Stopping Rules in Security Testing—◆Susan

J. Simmons, The University of North Carolina at

Wilmington ; Mehmet Sahinoglu, Auburn University

Montgomery

; James Matis, Texas A&M University

2:05 p.m.

A Spatio-Temporal Model for Mean, Anomaly, and Trend Fields of North Atlantic Sea Surface

Temperature—Ricardo T. Lemos, Universidade de

Lisboa

; ◆Bruno Sanso, University of California,

Santa Cruz

2:55 p.m. Disc: Christopher Wikle, University of

Missouri-Columbia

3:10 p.m.

Disc: Dave Higdon, Los Alamos National Laboratory

3:25 p.m.

Disc: Roy Mendelssohn, NOAA

3:40 p.m. Floor Discussion

212 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

501 CC-209A

Regression Models with Functional Predictors—

Invited

IMS

Organizer(s): Todd Ogden, Columbia University

Chair(s): Todd Ogden, Columbia University

2:05 p.m. Functional Generalized Linear Regression—

Harrison Zhou, Yale University

2:35 p.m. Functional Linear Regression of Gradients from

Sparse Observations—◆Ian McKeague, Columbia

University ; Sara Lopez-Pintado, Universidad Pablo de Olavide

3:05 p.m.

Functional Additive Modeling and Gradient

Estimation—◆Hans-Georg M¸ller, University of

California, Davis

; Fang Yao, University of Toronto

3:35 p.m. Floor Discussion

502

IMS Medallion Lecture VI—Invited

IMS

CC-207B

Organizer(s): Xiaotong Shen, The University of Minnesota

Chair(s): Joseph S. Verducci, The Ohio State University

2:05 p.m. Auxiliary Variables, Perfect Simulation, and

Importance Sampling for the Statistical Analysis of Stochastic Processes—◆Gareth Roberts,

University of Warwick

3:30 p.m. Floor Discussion

Topic-Contributed Sessions

2:00 p.m.–3:50 p.m.

504 CC-102B

Advancements in Principal Stratification for

Causal Inference—Topic-Contributed

Biometrics Section, International Indian Statistical Association,

Section on Statistics in Epidemiology, Section on Health Policy

Statistics

Organizer(s): Corwin M. Zigler, University of California, Los Angeles

Chair(s): Thomas R. Belin, University of California, Los Angeles

2:05 p.m.

Public Schools versus Private Schools: Causal

Inference with Partial Compliance—◆Hui Jin,

Harvard University ; Donald B. Rubin, Harvard

University

2:25 p.m.

Causal Inference for Randomized Trials of Two

Active Treatments Subject to Noncompliance—

Jason Roy, Geisinger Center for Health Research ;

Yan Ma, Weill Medical College of Cornell University

2:45 p.m. Statistical Identifiability and the Surrogate

Endpoint Problem—◆Julian Wolfson, University of Washington

3:05 p.m. Principal Stratification for Evaluation of Surrogate

Endpoints with Variable Control-Group Response—

Corwin M. Zigler, University of California, Los

Angeles

; Thomas R. Belin, University of California,

Los Angeles

3:25 p.m. Exact Inference within Principal Strata—

Michael Hudgens, The University of North

Carolina at Chapel Hill

3:45 p.m. Floor Discussion

Invited Panels 2:00 p.m.–3:50 p.m.

503 CC-202A n J

Boundaries for Harm in Clinical Trials

Designed to Establish Safety—Invited

ENAR, Biopharmaceutical Section

Organizer(s): Robert A. Parker, Amgen, Inc.

Chair(s): Robert A. Parker, Amgen, Inc.

505 CC-101 n J

Statistical and Regulatory Challenges in Alzheimer’s Disease Clinical Trials—

Topic-Contributed

Biopharmaceutical Section

Organizer(s): Yonggang Zhao, Wyeth Research

Chair(s): Yonggang Zhao, Wyeth Research

Panelists:

Alex Fleishman, Amgen, Inc.

Barry Davis, The University of Texas School of

Public Health

Susan Ellenberg, University of Pennsylvania

Gordon Lan, Johnson & Johnson PRD

Michael Proschan, National Institute of Allergy and

Infectious Diseases

Janet Wittes, Statistics Collaborative, Inc.

3:45 p.m. Floor Discussion

2:05 p.m. Some Statistical and Regulatory Considerations on

Alzheimer Trials—◆Kun Jin, FDA

2:25 p.m. Statistical Inference and Sample Size Issues for Co-

Primary Endpoints in Alzheimer’s Disease Trials—

Mohammad F. Huque, FDA

2:45 p.m. A Meta-Analytic Model for Alzheimer’s Disease

Incorporating Both Summary-Level and Patient-

Level Data—◆James A. Rogers, Metrum; Bill

Gillespie, Metrum

; Kaori Ito, Pfizer Inc.; Marc

Gastonguay, Metrum

Washington, DC 213

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:05 p.m. Providing Evidence of Disease Modification—

Suzanne Hendrix, Pentara Corporation

3:25 p.m.

Floor Discussion

506 CC-209C n J

Novel Bayesian Advances in Public Health and Epidemiology—Topic-Contributed

Section on Bayesian Statistical Science, Section on Statistics in Epidemiology

Organizer(s): Jun Lu, American University

Chair(s): Yu Yue, Baruch College

2:25 p.m.

Incorporating Domain Knowledge in Customer

Churn Prediction Using AntMiner+—◆Wouter

Verbeke, Katholieke Universiteit Leuven

; Bart

Baesens, Katholieke Universiteit Leuven

; David

Martens, Hogeschool Gent

; Manu De Backer,

Hogeschool Gent ; Raf Haesen, Katholieke

Universiteit Leuven

2:45 p.m.

Love at First Sight? Effects of Direct Mail Design on

Consumer Response Behavior—◆Manfred Krafft,

University of Münster

; Sebastian Feld, University of

Münster

; Heiko Frenzen, University of Münster; Kay

Peters, University of Münster

3:05 p.m. How Does a Customer Walk for Shopping in a

Store?—◆Katsutoshi Yada, Kansai University

3:25 p.m.

Demographic Classification of Anonymous Web

Site Visitors Using Click Stream Information: A

Practical Method for Supporting Online Advertising

Targeting—◆Koen De Bock, Ghent University; Dirk

Van den Poel, Ghent University

3:45 p.m.

Floor Discussion

2:05 p.m.

Bayesian Optimal Discovery Procedure for

Simultaneous Significance Testing—◆Jing Cao,

Southern Methodist University ; Xian-Jin Xie, The

University of Texas Southwestern Medical Center at Dallas

; Song Zhang, The University of Texas

Southwestern Medical Center

2:25 p.m. Change of Support in Inverse Implementations of

Statistical Differential Equation Models—◆Mevin B.

Hooten, Utah State University

; Marti B. Garlick,

Utah State University

; James B. Powell, Utah

State University

2:45 p.m. A Multiple Comparison Procedure Based on a

Variant of the Schwarz Information Criterion in a

Mixed Model—◆Junfeng Shang, Bowling Green

State University

3:05 p.m.

Semiparametric Bayes Proportional Odds Models for Current Status Data with Under-Reporting—

Lianming Wang, University of South Carolina

;

David Dunson, Duke University

3:25 p.m. A Bayesian Hierarchical Model to Translate

Microarray Findings into Biological Functional

Profiles—◆Song Zhang, The University of Texas

Southwestern Medical Center

3:45 p.m. Floor Discussion

508 CC-144A n J

Safety and Health Issues in Transportation—

Topic-Contributed

Social Statistics Section, Section on Government Statistics,

Transportation Statistics Interest Group

Organizer(s): Karl Sieber, National Institute for Occupational Safety and Health

Chair(s): Promod Chandhok, U.S. Department of Transportation

2:05 p.m.

Collecting Health and Safety Information in a Mobile and Hard-to-Reach Population: Surveying Long-

Haul Truck Drivers—◆Karl Sieber, National Institute for Occupational Safety and Health

2:25 p.m. The Evolution of Crash Analysis Methodologies—

Karin M. Bauer, Midwest Research Institute

;

Courtney Bokenkroger, Midwest Research Institute

2:45 p.m.

Drowsy Driver Performance in a Simulated

Environment: A Case-Crossover Analysis—◆Linda

Ng Boyle, University of Iowa

3:05 p.m. Floor Discussion

507 CC-160 n J

Customer Intelligence—Topic-Contributed

Section on Statistics and Marketing, Social Statistics Section

Organizer(s): Dirk Van den Poel, Ghent University

Chair(s): Dirk Van den Poel, Ghent University

2:05 p.m. Comparing Random Forests and Random

Multinomial Logit to Rotation Forest and the

New Rotation Multinomial Logit—◆Anita Prinzie,

Manchester Business School/Gent University

; Dirk

Van den Poel, Ghent University

509 n

Numeracy 2009—Topic-Contributed

Section on Statistical Education

Chair(s): Paul J. Fields, Brigham Young University

CC-142

2:05 p.m. Formal Debates to Clarify the Objectives of an

Intro Stats Course—◆Dan Schafer, Oregon

State University

2:25 p.m. How Prepared are Doctoral Dissertation Committee

Members?—◆Rossi A. Hassad, Mercy College

214 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:45 p.m. Statistical Literacy: Confound Those Speculative

Statistics—◆Milo Schield, W.M. Keck

Statistical Literacy Project

3:05 p.m. Distinguishing Association from Causation in Titles of News Stories—◆Robert Raymond, University St.

Thomas ; Milo Schield, W.M. Keck Statistical

Literacy Project

3:25 p.m. Taking Confounding Seriously with Introductory

Students—◆Daniel Kaplan, Macalester College

3:45 p.m.

Floor Discussion

510

Seasonal Adjustment Methodology—

Topic-Contributed

CC-148

Business and Economic Statistics Section, Social Statistics Section

Organizer(s): Tucker S. McElroy, U.S. Census Bureau

Chair(s): Theodore Alexandrov, University of Bremen

2:05 p.m.

On the Impact of Sampling Error on Modeling

Seasonal Time Series—◆Stuart Scott, Bureau of Labor Statistics

; Danny Pfeffermann, Hebrew

University/University of Southampton

2:25 p.m. On X11 Seasonal Adjustment and Estimation of Its

MSE—◆Michail Sverchkov, BAE Systems IT/Bureau of Labor Statistics

; Stuart Scott, Bureau of Labor

Statistics

; Danny Pfeffermann, Hebrew University/

University of Southampton

2:45 p.m. A Bayesian Approach to Seasonal Long Memory—

Scott Holan, University of Missouri-Columbia

;

Tucker S. McElroy, U.S. Census Bureau

3:05 p.m. An Empirical Evaluation of Signal Extraction

Goodness-of-Fit Diagnostic Tests—◆Christopher

Blakely, U.S. Census Bureau ; Tucker S. McElroy,

U.S. Census Bureau

3:25 p.m. The Detection of Cycles in Raw and Seasonally

Adjusted Data—◆Tucker S. McElroy, U.S. Census

Bureau ; Scott Holan, University of Missouri-

Columbia

3:45 p.m. Floor Discussion

511 n

Applications of Bayesian Methods to

Biomedical Data—Topic-Contributed

CC-209B

Section on Bayesian Statistical Science,

Biopharmaceutical Section

Organizer(s): Dipankar Bandyopadhyay, Medical University of

South Carolina

Chair(s): Abel Rodriguez, University of California, Santa Cruz

2:05 p.m.

Using a Dirichlet Process Mixture of Hidden Markov

Models for Protein Conformation Angle Data—

Kristin P. Lennox, Texas A&M University ; David B.

Dahl, Texas A&M University ; Marina Vannucci, Rice

University

; Ryan Day, University of the Pacific; Jerry

Tsai, University of the Pacific

2:25 p.m. Posterior Simulation in Mixture Models for Large

Data Sets—◆Subharup Guha, University of Missouri

2:45 p.m. A Hidden Markov Model for Zero-Inflated Poisson

Counts with an Application to Cocaine Use

Data—◆Stacia M. DeSantis, Medical University of

South Carolina

; Dipankar Bandyopadhyay, Medical

University of South Carolina

3:05 p.m.

A Multivariate Spatial Factor Model for Clustered

Data with Informatively Present Mixed Responses—

Dipankar Bandyopadhyay, Medical University of

South Carolina ; Brian J. Reich, North Carolina State

University ; Jyotika Fernandes, Medical University of

South Carolina

3:25 p.m. Semiparametric Bayesian Analysis of Nutritional

Epidemiology Data in the Presence of Measurement

Error—◆Samiran Sinha, Texas A&M University;

Bani K. Mallick, Texas A&M University

; Victor

Kipnis, National Cancer Institute

; Raymond J.

Carroll, Texas A&M University

3:45 p.m. Floor Discussion

512 CC-144C n

Recent Developments in Address-Based

Sampling Methodologies—Topic-Contributed

Section on Survey Research Methods, Social Statistics Section,

Section on Government Statistics

Organizer(s): Mansour Fahimi, Marketing Systems Group

Chair(s): Mansour Fahimi, Marketing Systems Group

2:05 p.m.

Methodological Issues in the Conversion from RDD to Address-Based Sampling—◆Michael Link, The

Nielsen Company

; Gail Daily, The Nielsen Company;

Charles Shuttles, The Nielsen Company

2:25 p.m. Address-Based Sampling and the 2008 American

National Election Survey: A New Paradigm for In-Person Household Surveys—Vincent

G. Iannacchione, RTI International ; ◆Jamie L.

Ridenhour, RTI International

; Bonnie Shook-Sa,

RTI International

; Joseph P. McMichael,

RTI International

Washington, DC 215

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:45 p.m. Recruiting Probability-Based Web Panel Members

Using an Address-Based Sample Frame: Results from a Pilot Study Conducted by Knowledge

Networks—◆Charles DiSogra, Knowledge Networks;

Mario Callegaro, Knowledge Networks

; Erlina

Hendarwan, Knowledge Networks

3:05 p.m. Using Address Frames to Identify Cell-Phone-Only and Cell-Phone-Primary Households—◆Anna

Fleeman, Arbitron, Inc.

3:25 p.m. Coverage Rates and Coverage Bias in Housing Unit

Frames—◆Ned English, NORC at the University of

Chicago

; Colm O’Muircheartaigh, The University of

Chicago

; Stephanie Eckman, NORC at the University of Chicago

3:45 p.m.

Floor Discussion

513 CC-144B n J

Advances in the Arena of Confidentiality and

Data Protection—Topic-Contributed

Section on Government Statistics, Social Statistics Section,

Section on Survey Research Methods

Organizer(s): Jonaki Bose, Substance Abuse & Mental Health

Services Administration

Chair(s): Jonaki Bose, Substance Abuse & Mental Health Services

Administration

Topic-Contributed Panels

2:00 p.m.–3:50 p.m.

514 CC-158B

J

From Evidence to Policy: ASA Members in

Public Office—Topic-Contributed

Scientific and Public Affairs Advisory Committee, Section on

Government Statistics

Organizer(s): Stephen Pierson, ASA

Chair(s): Christine S. Franklin, The University of Georgia

Panelists:

Jeff Witmer, Oberlin College

James L. Rosenberger, Penn State University

Ivelisse Aviles, National Institute of Standards and

Technology

James R. Murphy, National Jewish Health

Jerry Moreno, John Carroll University

3:45 p.m. Floor Discussion

Contributed Sessions

2:00 p.m.–3:50 p.m.

2:05 p.m.

Informing Potential Respondents About Disclosure

Risk and Survey Participation—◆Eleanor Singer,

University of Michigan

; Mick P. Couper, University of Michigan

; Frederick G. Conrad, University of

Michigan

; Robert Groves, University of Michigan

2:25 p.m. Data Access for the National Children’s Study:

Preliminary Plans—◆Jennifer Park, National

Institute of Child Health and Human Development

2:45 p.m. Disclosure Review Issues of Genetic Data—◆Karen

E. Davis, National Center for Health Statistics

; Peter

Meyer, National Center for Health Statistics

3:05 p.m. Application of the Truncated Distributions and

Copulas in Masking Data—◆Rahul A. Parsa, Drake

University

; Jay J. Kim, National Center for Health

Statistics

; Myron J. Katzoff, National Center for

Health Statistics

3:25 p.m. An Overview of Uncertainty Creation to

Protect Statistical Data—◆Paul B. Massell,

U.S. Census Bureau

3:45 p.m. Floor Discussion

515

Statistical Methods in Finance—Contributed

Business and Economic Statistics Section

CC-153

Chair(s): Timothy Bogong Li, SHCG - SunTrust Mortgage, Inc.

2:05 p.m. Estimated Quasi-Likelihood Estimator on GARCH

Models with Heavy-Tailed and Skewed Innovations and Its Applications—◆Taewook Lee, Hankuk

University of Foreign Studies

2:20 p.m. Finite Sample Properties of Classcial Testings on

Long Memory HYGARCH Models—◆Muyi Li, The

University of Hong Kong

2:35 p.m. Backdating Stock Options: Governance and

Executive Incentives—◆Don R. Warren, The

University of Texas at San Antonio

; Mary Zey, The

University of Texas at San Antonio

; John Garza, The

University of Texas at San Antonio

2:50 p.m. Application of Robust Estimation in O-GARCH

Model—Lingyu Zheng, Temple University; ◆William

Wei, Temple University

3:05 p.m.

Recursive Estimation Using Combined Optimal

Estimating Functions—◆Melody Ghahramani,

University of Winnipeg ; Aerambamoorthy

Thavaneswaran, University of Manitoba

3:20 p.m. Secondary Mortgage Market Repurchase Forecast

Through Survival Analysis—◆Bogong T. Li,

Statistical Guidance Co.

3:35 p.m.

Estimation of Conditional Distribution of Market

Returns—◆Yuzhi Cai, University of Plymouth

216 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

516 CC-149B n

Applications in Reliability—Contributed

Section on Physical and Engineering Sciences, Section on Quality and Productivity, Section on Bayesian Statistical Science

Chair(s): Lewis H. Shoemaker, Millersville University of

Pennsylvania

2:05 p.m.

Prediction of Remaining Life of Power Transformers

Based on Left-Truncated and Right-Censored

Lifetime Data—◆Yili Hong, Iowa State University;

William Q. Meeker, Iowa State University

; James D.

McCalley, Iowa State University

2:20 p.m.

Modeling Leads to Cause-of-Field Failures—◆David

C. Trindade, Sun Microsystems, Inc.

2:35 p.m. Monitoring Civil Structures Using Restricted

Autoregressive Models and Wireless Sensor

Networks—◆Guilherme Rocha, Indiana University;

Shamim Pakzad, Lehigh University

; Bin Yu,

University of California, Berkeley

2:50 p.m. Bayesian Analysis of Step-Stress Accelerated Life

Testing Using Weibull Proportional Hazard Model—

Naijun Sha, The University of Texas at El Paso

;

Rong Pan, Arizona State University

3:05 p.m. Lower Tolerance Bounds in Accelerated Life

Testing: Weibull Models with Inverse Power

Relationship—◆Ananda A. Jayawardhana, Pittsburg

State University ; V. A. Samaranayake, Missouri

University of Science and Technology

3:20 p.m. Enhanced Monte Carlo Estimation of Extremely

Small Probabilities of Failure—◆Peter W. Hovey,

University of Dayton

; Brian Krilov, University of Dayton

3:35 p.m. Robust Test Plans for Accelerated Degradation

Experiment—◆Shuen-Lin Jeng, National Cheng

Kung University

517

Dynamics Laboratory

CC-143B

Applications of Statistics in Defense and

Biosurveillance—Contributed

Section on Statistics in Defense and National Security, Interface

Foundation of North America

Chair(s): Myron J. Katzoff, National Center for Health Statistics

2:05 p.m.

Ternary Pixel Transition Matrix--Based Feature

Space Statistics for Image Retrieval from

Databases—◆Pranab K. Banerjee, Space

2:20 p.m. Resource Allocation and Infrastructure Density

Around Vulnerable Sites—◆Jeffrey S. Simonoff,

New York University

; Carlos E. Restrepo, New York

University

; Rae Zimmerman, New York University;

Zvia Naphtali, New York University ; Henry H. Willis,

RAND Corporation

2:35 p.m. Modeling Site Selection Behavior: Applications to

Crime and Terrorism—◆Michael D. Porter, Spadac

2:50 p.m. Biosurveillance with Multiple-Width-Window Scan

Statistics—◆Joseph I. Naus, Rutgers University

3:05 p.m.

Clustering Time Series Using Compression

Dissimilarities and Wavelets—◆Patricia H. Carter,

Naval Surface Warfare Center

3:20 p.m. Statistical Assessment of Simple Strategy with

Gaming: On Modeling the Fundamentals of

Irregular Warfare—◆Scott Simpkins, Johns Hopkins

University

; Jonathan Smalletz, Johns Hopkins

University

; Robert Sagmiller, Clemson University

3:35 p.m. Floor Discussion

518 CC-102A n

Epidemiologic Methods: Causal Inference—

Contributed

Section on Statistics in Epidemiology

Chair(s): Jason Brinkley, East Carolina University

2:05 p.m. Causal Inference in Cancer Clinical Trials—

Babette Brumback, University of Florida

London, University of Florida

; Wendy

2:20 p.m. Causal Inference in Trials with Partial Compliance by Means of Continuous Principal Strata: A

Likelihood Approach Based on Copulas—Francesco

Bartolucci, University of Perugia

; ◆Leonardo Grilli,

University of Florence

2:35 p.m. Diagnostics for Propensity Score Matching:

Creating a Balanced Control Group to Assess In

Vitro Fertilization Guidelines—◆Cassandra K.

Wolos, Harvard University ; Donald B. Rubin,

Harvard University

2:50 p.m. A Markov Compliance Class and Outcome Model for Causal Analysis in the Longitudinal Setting—

Xin Gao, University of Michigan

; Michael Elliott,

University of Michigan

3:05 p.m. Causal Inference in Nested Case-Control

Studies—◆Sherri Rose, University of California,

Berkeley

; Mark J. van der Laan, University of

California, Berkeley

3:20 p.m. Treatment-Outcome Complex and Analysis of

Observational Data—◆Lev S. Sverdlov, Schering-

Plough Research Institute

3:35 p.m. Causal Estimation for the Proportional Hazard

Model with Prevalent Sampling—◆Yu-Jen Cheng,

Johns Hopkins University

; Mei-Cheng Wang, Johns

Hopkins Bloomberg School of Public Health

Washington, DC 217

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

519

Imputation Case Studies—Contributed

Section on Survey Research Methods

Chair(s): Mandi Yu, FDA

520

Modern Statistical Methods for Genetic

Studies—Contributed

Section on Statistics in Epidemiology

Chair(s): Wang Xiaofei, Duke University Medical Center

2:05 p.m.

North Texas Health Science Center

CC-149A

2:05 p.m. Methods for Analysis of Recall of Fires in a

Retrospective Survey—◆Michael A. Greene, U.S.

Consumer Product Safety Commission

; Craig D.

Andres, U.S. Army Aberdeen Test Center

2:20 p.m. Developing Macro Edits for the Census and Annual

Survey of Government Finance—◆Loretta A.

McKenzie, U.S. Census Bureau

; Terri L. Craig,

U.S. Census Bureau

; Jennifer N. Whitaker,

U.S. Census Bureau

2:35 p.m. Empirical Evaluation of Imputation Methods on

Quarterly Census of Employment and Wages

Data—◆Marek Kaminski, Bureau of Labor Statistics;

Vinod Kapani, Bureau of Labor Statistics

2:50 p.m. Imputation Variance Estimation by Multiple

Imputation Method for the National Hospital

Discharge Survey—◆Qiyuan Pan, National Center for Health Statistics

; Iris Shimizu, National Center for Health Statistics

3:05 p.m. Evaluation of Alternative Imputation Methods for the

Public Libraries Survey—Irene Brown, U.S. Census

Bureau

; ◆Terri L. Craig, U.S. Census Bureau

3:20 p.m. Impacts of Bridging Race/Ethnicity for the

California Health Interview Survey—◆Yifeng J.

Chia, University of California, Los Angeles

3:35 p.m. Floor Discussion

CC-204C

Haplotype-Based Regression Analysis with

Transmitted and Nontransmitted Haplotypes—

Yung-Hsiang Huang, National Taiwan University

2:20 p.m. Accounting for Disease Model Uncertainty in

Mapping Heterogeneous Traits: A Bayesian Model

Averaging Approach—◆Swati Biswas, University of

2:35 p.m. Risk Effect Estimation for Secondary Phenotypes and Gene-Environment Interaction: A Conditional

Likelihood Approach—◆Arpita Ghosh, The

University of North Carolina at Chapel Hill ; Fred A.

Wright, The University of North Carolina at Chapel

Hill

; Fei Zou, The University of North Carolina at

Chapel Hill

2:50 p.m. Estimation of Association in Case-Control Studies with Potential Population Structure—◆Yong Chen,

Johns Hopkins University

; Kung-Yee Liang, Johns

Hopkins University

3:05 p.m. Using Allele Sharing Distance for Detecting Human

Population Stratification—◆Xiaoyi Gao, Washington

University in St. Louis

3:20 p.m. A Score Test Based on Modified Genotype Data—

Renfang Jiang, Michigan Technological University

;

Yilin Dai, Michigan Technological University ;

Jianping Dong, Michigan Technological University

3:35 p.m. Floor Discussion

521 CC-155

Boosting, Ensemble Learning, and Other Data-

Mining Methods—Contributed

Section on Statistical Learning and Data Mining, Interface Foundation of North America

Chair(s): Brian Shea, The University of Minnesota

2:05 p.m.

Distinct Counting with a Self-Learning Bitmap—

Aiyou Chen, Bell Labs, Alcatel-lucent

Bell Labs, Alcatel-lucent

; Jin Cao,

2:20 p.m. Using Data Mining to Explore Seasonal Differences

Between the US Current Employment Statistics

Survey and the Quarterly Census of Employment and Wages—◆Gregory Erkens, Bureau of

Labor Statistics

2:35 p.m. Mining Financial Statements: Comparative

Performance of Adaptive and Ensemble Models in

Discovering Financial Statement Fraud—◆David

G. Whiting, Brigham Young University

; James

V. Hansen, Brigham Young University

; James B.

McDonald, Brigham Young University

; Conan

Albrecht, Brigham Young University

; Steve

Albrecht, Brigham Young University

2:50 p.m. GA-Boost: A Genetic Algorithm for Robust

Boosting—Brian Gray, The University of Alabama;

Dong-Yop Oh, The University of Alabama

3:05 p.m. Ensemble-Based Semi-Supervised Learning with

Optimal Feature Weighting—◆Joseph Retzer,

Maritz Research

3:20 p.m.

Developing an Adaptive Individualized Therapy

Trial for Life-Threatening Chronic Disease—◆Yiyun

Tang, The University of North Carolina at Chapel Hill ;

Michael Kosorok, The University of North Carolina at

Chapel Hill

3:35 p.m. Floor Discussion

218 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

522 CC-141

Numerical Algorithm in Modern Estimation and

Inference—Contributed

Section on Statistical Computing, Interface Foundation of

North America

Chair(s): Brian J. Smith, The University of Iowa

2:05 p.m.

Efficient Exact Inference for the Common Odds

Ratio—◆Bruce Barrett, The University of Alabama;

J. Brian Gray, The University of Alabama

2:20 p.m. Computational Methods for Time-Dependent

Relational Data—◆Andrew C. Thomas,

Harvard University

2:35 p.m. Stochastic Root-Finding and Optimization via the

Adaptive Simultaneous Perturbation Algorithm—

James C. Spall, Johns Hopkins University

Applied Physics Laboratory

2:50 p.m. Exact Algorithms for Decompressing the Log-

Compressed Echo Envelope of Medical

Ultrasound Images—◆Kai-Sheng Song,

University of North Texas

3:05 p.m. Semiparametric Efficient Estimation and EM

Algorithm for Partially Linear Model with Missing

Data—◆Mingyu Li, Rutgers University; Minge Xie,

Rutgers University

3:20 p.m. Robust Tail Sums for Differential Gene Expression

Analysis—◆June Luo, Clemson University

3:35 p.m. Distribution of Statistics of Hidden State Sequences via the Sum-Product Algorithm Over Factor

Graphs—◆Donald E.K. Martin, North Carolina

State University

523 CC-158A

Nonparametric Methods for Functional and

Longitudinal Data—Contributed

Section on Nonparametric Statistics

Chair(s): Jing Zhou, BlackRock, Inc.

2:05 p.m. Recent History Functional Linear Model for

Sparse Longitudinal Data—◆Kion Kim, Penn State

University

; Senturk Damla, Penn State University

2:20 p.m.

Assessment of Measurement Agreement for

Functional/Longitudinal Data—◆Mina Yoo, Penn

State University

; Runze Li, Penn State University

2:35 p.m.

Astronomical Transient Detection Through

Functional Data Analysis—◆Darren W.

Homrighausen, Carnegie Mellon University

2:50 p.m. Assessing Individual Observer Agreement in Studies Involving Replicated Ordinal

Observations—◆Jingjing Gao, Emory University

3:05 p.m.

A New Permutation-Based Method for the

Evaluation of the Agreement Between Two

Observers with Replicated Binary Observations—

Yi Pan, Emory University ; Michael J. Haber,

Emory University

3:20 p.m. Functional Linear Model with Zero-Value Coefficient

Function at Sub-Region—◆Jianhui Zhou, University of Virginia

; Naisyin Wang, Texas A&M University

3:35 p.m. Functional Latent Feature Models for Data with

Longitudinal Covariate Processes—◆Erning Li,

Texas A&M University

; Yehua Li, The University of

Georgia

; Nae-Yuh Wang, Johns Hopkins University

School of Medicine

; Naisyin Wang, Texas

A&M University

524

Bayesian Theory and Estimation—Contributed

Section on Bayesian Statistical Science

CC-208B

Chair(s): Leanna House, Virginia Polytechnic Institute and

State University

2:05 p.m. Bayesian Parameter Estimation for Partial

Differential Equation Models—◆Darren E. Gemoets,

University of Wyoming ; Kiona Ogle, University of

Wyoming

; Jarrett Barber, University of Wyoming

2:20 p.m. Some New Application Results of the

C-Characteristics Function—◆Thomas J.M. Jiang,

National Chengchi University

2:35 p.m. Density Estimation on Riemannian Manifolds—

Justin Jacobs, University of Maryland,

Baltimore County

2:50 p.m. Bayesian Estimation of Burr Type XII Distribution from Progressively Type II--Censored Samples—

Seongho Song, University of Cincinnati

; ◆Younshik

Chung, Pusan National University

; Chansoo Kim,

Kongju National University

; Junghoon Jang, Korea

Food and Drug Association

3:05 p.m. Consistency in Multivariate Bayesian Density

Estimation—◆Subhashis Ghoshal, North Carolina

State University

; Yuefeng Wu, North Carolina

State University

3:20 p.m. Bayes and Empirical Bayes Estimation in

Lognormal Regression Model—◆Yogendra P.

Chaubey, Concordia University ; Fassil Nebebe,

Concordia University

3:35 p.m. Floor Discussion

Washington, DC 219

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

525

Bayesian Analysis—Contributed

CC-203A

Biometrics Section, Section on Bayesian Statistical Science

Chair(s): Jennifer Schumi, Statistics Collaborative, Inc.

2:05 p.m. Using Dynamic Bayesian Networks with Hidden

States to Infer Gene Regulatory Networks—

Andrea Rau, Purdue University

; Florence Jaffrézic,

French National Institute for Agricultural Research

;

Jean-Louis Foulley, French National Institute for

Agricultural Research ; Rebecca W. Doerge,

Purdue University

2:20 p.m. Mixed Effects and Multilevel Models in the Presence of Random Effects Heterogeneity—◆David

Afshartous, University of Miami ; Geert Verbeke,

Katholieke Universiteit Leuven

; Richard A. Preston,

University of Miami

2:35 p.m. Model Averaging for Multifactor Stability Studies—

Seth Clark, Merck & Co., Inc.

; Robert Noble, Miami

University of Ohio

2:50 p.m. Estimation of Disease Prevalence from Imperfect

Diagnostic Tests on Pooled Samples with Varying

Pool Sizes—◆Christopher J. Williams, University of Idaho

3:05 p.m. Estimation of Correlation Using Bayesian Approach for Measuring Co-Expression of Genes to Improve

Functional Inference in Co-Expression Networks—

Suman Duvvuru, The University of Tennessee

3:20 p.m. A Bayesian Hierarchical Model for Clustering

Bernstein Polynomial Density Estimates—

Charlotte C. Gard, University of Washington ;

Elizabeth R. Brown, University of Washington

3:35 p.m. A Bayesian Approach to Model Robust Designs—

Vincent Agboto, Meharry Medical College ;

Christopher Nachtsheim, The University of Minnesota

; W. Li, University of Minnesota

526

Microarray Data—Contributed

Biometrics Section

Chair(s): Scarlett L. Bellamy, University of Pennsylvania

CC-203B

2:50 p.m. Identification and Classification of Expressed RNA

Probes in Microarray Experiments—◆Sigrun H.

Lund, University of Iceland

; Daniel F. Gudbjartsson, deCODE genetics

; Julius Gudmundsson, deCODE genetics

; Gunnar Stefansson, University Iceland;

Thorunn Rafnar, deCODE genetics

3:05 p.m. A Mixture Model for Microarray Data with Saturated

Pixels—◆Yan Yang, Arizona State University

3:20 p.m. Improved Variance Smoothing Method for

Testing Differential Expression in Affymetrix

Oligonucleotide Microarrays—◆Parul Gulati, The

Ohio State University ; David Jarjoura, The Ohio

State University

; Soledad Fernandez, The Ohio State

University

; Lianbo Yu, The Ohio State University;

Michael Pennell, The Ohio State University

3:35 p.m. Noise Reduction for Array CGH Data Using

Technical Covariates and Probe-Level Information—

Tobias Guennel, Virginia Commonwealth

University

; Mark Reimers, Virginia

Commonwealth University

527

Time Series—Contributed

IMS

Chair(s): Natallia Katenka, University of Michigan

CC-208A

2:05 p.m. Testing Regression Means with Autoregressive

Errors—◆Sheng-Mao Chang, National Cheng

Kung University

2:20 p.m. Memory-Length Parameter Estimation for the

Rosenblatt Process Using Longer Filters—

Alexandra Chronopoulou, Purdue University

2:35 p.m. Long-Range Dependence and Operator Self-

Similarity—◆Gustavo Didier, Tulane University

2:50 p.m. First-Order Bias Correction for Fractionally

Integrated Time Series—◆Jaechoul Lee, Boise State

University

; Kyungduk Ko, Boise State University

3:05 p.m.

Malaria Transmission Dynamics: A Formal

Comparison of Rival Hypotheses—◆Anindya

Bhadra, University of Michigan

; Edward Ionides,

University of Michigan

3:20 p.m. Floor Discussion

2:05 p.m. Maximum Entropy Modeling for Gene Expression

Microarray Data—◆Xue Lin, FDA; Daniel Q.

Naiman, Johns Hopkins University

; Donald

Geman, Johns Hopkins University

2:20 p.m. Testing Biological Processes in Microarray

Experiments Using Prespecified Gene Sets—

Shuyan (Sabrina) Wan, Merck Research

Laboratories

; Xiang Yu, Merck Research Laboratories

2:35 p.m. Generalized A-Optimality for Microarray

Experimental Designs—◆Nilgun Ferhatosmanoglu,

Bilkent University

528 CC-201 n

Issues in Multi-Regional Trials, Medical Device

Trials, and Sample Size—Contributed

Biopharmaceutical Section

Chair(s): Kyung Sook Kim, FDA

2:05 p.m. A New Approach to Model Region Treatment Effects in Clinical Trials—◆Hua Guo, Merck Research

Laboratories

220 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:20 p.m. Power and Multiplicity Assessment for a Composite

Endpoint and Its Components in Multi-Regional

Clinical Trials—Hongwei Wang, Merck & Co., Inc.;

Weili He, Merck & Co., Inc.

; ◆Liang Chen, Merck &

Co., Inc.

2:35 p.m. Determination of Sample Size in Multi-Regional

Clinical Trials—◆Feng-shou Ko, National Health

Research Institutes

; Hsiao-hui Tsou, National Health

Research Institutes ; Chin-fu Hsiao, National Health

Research Institutes

2:50 p.m. An Algorithm for Selecting Cases to Evaluate a

Digital Mammography System—◆David C. Hoaglin,

Abt Bio-Pharma Solutions, Inc.

; Lynn Fletcher-

Heath, Carestream Health, Inc.

3:05 p.m. Adjusting for Nonignorable and Partially Ignorable

Verification Bias in Estimating ROC Curve and Its

Area—◆Danping Liu, University of Washington;

Xiao-Hua (Andrew) Zhou, University of Washington

3:20 p.m. Ceiling and Regression Effects on Clinical

Endpoints in Medical Device Studies—◆Daniel P.

Reyner, Zimmer Holdings, Inc

3:35 p.m.

Sample Size Determination and Interpretation of

Safety Findings in Clinical Studies with an MTD

Expansion Cohort—◆Guohui Li, Millennium

Pharmaceuticals

; Noe Dennis, Millennium

Pharmaceuticals

Poster Presentations

2:00 p.m.–3:30 p.m.

530 CC-L Street Bridge

Topic-Contributed Oral Poster Presentations:

Reproducible Statistical Analysis—

Topic-Contributed

Section on Statistical Computing, Interface Foundation of

North America

Organizer(s): Russell V. Lenth, The University of Iowa

Chair(s): Lara Schmidt, RAND Corporation

Applications and case studies

01 Reproducible Statistical Analyses With StatWeave—

Russell V. Lenth, The University of Iowa

02 Rapid Reproducible Training: From Outline to Slides and

Handouts in One Click—◆William Rising, StataCorp LP

Biometrics, bioinformatics, computational biology

03 Using SASweave to Integrate SAS and R Code and

Results in a Book—◆Ken Kleinman, Harvard Medical

School/Harvard Pilgrim Health Care

; Nicholas Horton,

Smith College

529 n

Topics in Linear Models—Contributed

CC-204B

Biopharmaceutical Section

Chair(s): Jing Han, FDA

2:05 p.m. Invariance in Multivariate Linear Models with High

Dimension, Low Sample Size—◆Yueh-Yun Chi,

University of Florida ; Keith E. Muller, University of Florida

2:20 p.m. Estimation of Treatment Efficacy in the Presence of Noncompliance and Competing Risks in

Randomized Controlled Trials—◆Lily Altstein,

University of California, Los Angeles

2:35 p.m. Analysis of Zero-Inflated Continuous Data—

Madhuja Mallick, Merck Research Laboratories

2:50 p.m.

Sigmoid Curves and a Case for Close-to-Linear

Nonlinear Models—◆Charles Tan, Merck Research

Laboratories ; Ying Su, Merck Research Laboratories

3:05 p.m.

The Impact of a Misspecified Error Distribution on the Inference in the Linear Mixed Model—◆Li Liu, sanofi-aventis ; Donghui Zhang, sanofi-aventis

3:20 p.m.

Estimating Shelf Life Using Quantile Regression with Random Batch Effects—◆Michelle Quinlan,

University of Nebraska-Lincoln ; Walter Stroup,

University of Nebraska-Lincoln

; James Schwenke,

Boehringer Ingelheim Pharmaceuticals, Inc.

3:35 p.m. A Power Transformation for Minimizing

Heteroscedasticity in the General Linear Model—

Mitchell J. Rosen, ICON Clinical Research

Sampling and survey methodology

04 Reproducible Teaching: Using Stat/SASWeave in the

Classroom—◆Bonnie LaFleur, University of Arizona

531 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

Section on Statistical Computing

Computational statistics, numerical methods, simulation

05 Model for Fitting Two Lines to Data—◆Penelope M. Ellis,

Texas Tech University ; Chris Monico, Texas Tech University;

Clyde Martin, Texas Tech University

06 Six Sigma and Fuzzy Logic—◆Morteza Marzjarani,

Saginaw Valley State University

07 Stepwise Discriminant Analysis as a Post-Hoc to a

Significant MANOVA—◆Raj Chandran, University of

Northern Colorado ; Daniel J. Mundfrom, University of

Northern Colorado

08 Potentiating Sample-Based Constrained Optimization

Problems—◆Martin Levy, University of Cincinnati; Zhiyuan

Dong, University of Cincinnati ; James J. Cochran, Louisiana

Tech University

09 Comparisons of Model Selection Strategies in Time-to-

Event Models—◆Lin Pan, Emory University; Zhiheng Xu,

Emory University ; Haibin Wang, Emory University;

Mourad Tighiouart, Emory University

Washington, DC 221

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

10 Sequential Monte Carlo Samplers for

Bayesian Generalized Linear Mixed Models—

Yi-Ju Chen, University of Wisconsin-Madison ;

Yi-Liang Tung, Consultant

Transportation statistics

16 Targeting Polluting Vehicles for Car Scrappage Programs

Using Factor Analysis—◆Peng Wu, University of California,

Davis

; Shuang Liu, University of California, Davis

532 CC-L Street Bridge

Contributed Oral Poster Presentations—

Contributed

Section on Statistics and the Environment

Chair(s): Lara Schmidt, RAND Corporation

Environmetrics, ecology, agriculture, wildlife management

17 Investigating Spatial and Seasonal Variations in Radiation

Levels—◆Madhuri S. Mulekar, University of South

Alabama

; Sytske Kimball, University of South Alabama

18 The Role of Statistics in Ecological Risk Assessment for

Pesticide Registration—◆Christine Hartless,

U.S. Environmental Protection Agency

Reliability and survival modeling, risk analysis

11 Reliability Goodness-of-Fit for Oil Spills in the Gulf of

Mexico—◆William V. Harper, Otterbein College; Ted G.

Eschenbach, TEG Consulting ; Thomas R. James,

Otterbein College

Invited Sessions 4:00 p.m.–5:50 p.m.

Spatial statistics, spatio-temporal modeling, GIS

12 Statistical Tools for Evaluating Spatial Seasonal Fire

Potential Indices—◆Cindy S. Leary, University of Montana;

Jonathan M. Graham, University of Montana

; Patricia L.

Andrews, USDA Forest Service

; William M. Jolly, USDA

Forest Service

533 CC-Ballroom A-B

COPSS Awards and Fisher Lecture—Invited

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Madhuri S. Mulekar, University of South Alabama

Chair(s): Jessica M. Utts, University of California, Irvine

Environmetrics, ecology, agriculture, wildlife management

13 Locating Changes in Land Use from Long-Term Remote

Sensing Data in Morocco—◆Maliha S. Nash, U.S.

Environmental Protection Agency

; Deborah J. Chaloud,

U.S. Environmental Protection Agency

; William Kepner,

U.S. Environmental Protection Agency

4:05 p.m.

Where, When, and Then Why—◆Noel A. Cressie,

The Ohio State University

5:30 p.m.

Floor Discussion

Time series, wavelet analysis, signal processing

14 Model Prediction of Ambient Ozone Concentrations—

Katerina G. Tsakiri, State University of New York at Albany

; Igor Zurbenko, State University of New York at Albany

Environmetrics, ecology, agriculture, wildlife management

15 Ecological Thresholds Using Aquatic Macroinvertebrates as Indicators of Stream Health in the Mid-Atlantic and

Eastern Rivers and Mountains Vital Signs Networks—

Ying Liu, Virginia Polytechnic Institute and State

University

; Jianying Lou, Virginia Polytechnic Institute and State University

; Eric Smith, Virginia Polytechnic

Institute and State University

Washington, DC 223

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

tHuRsdAy, AuGust 6

Tours

TR15 - Annapolis: Highlighting the U.S. Naval Academy

9:00 a.m.–2:00 p.m.

TR16 - Historic Tour of Mt. Vernon

10:00 a.m.–2:00 p.m.

Committee/Business Meetings &

Other Activities

7:00 a.m.–10:30 a.m.

Cyber Center

CC-East Registration

7:00 a.m.–12:00 p.m.

Speaker Management Room

7:30 a.m.–10:00 a.m.

ASA Marketplace

CC-154A

CC-East Registration

7:30 a.m.–10:30 a.m. CC-East Registration

ASA Membership/Special Assistance/Press Desk

7:30 a.m.–10:30 a.m.

JSM Main Registration

CC-East Registration

8:00 a.m.–10:00 a.m.

COS Business Meeting II

RH-Meeting Room 16

Chair(s): Janet Buckingham, Southwest Research Institute

8:00 a.m.–1:00 p.m.

JSM Luggage Storage

CC-East Registration

10:00 a.m.–11:00 a.m.

COSGB Business Meeting II

RH-Meeting Room 16

Chair(s): Janet Buckingham, Southwest Research Institute

Special Presentation

8:30 a.m.–10:20 a.m.

534 CC-207A

Introductory Overview Lecture: Statistical

Learning and Data Mining—Other

ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical

Association, International Indian Statistical Association

Organizer(s): Ji Zhu, University of Michigan

Chair(s): Simon Sheather, Texas A&M University

8:35 a.m.

Statistical Learning and Data Mining—◆David J.

Hand, Imperial College

10:00 a.m. Floor Discussion

Invited Sessions

8:30 a.m.–10:20 a.m.

535 CC-143B

High-Dimensional Variable Selection: At the

Crossroad of Bayes’ Frequentist Interface—

Invited

Section on Bayesian Statistical Science

Organizer(s): Samiran Ghosh, Indiana University Purdue

University Indianapolis

Chair(s): Dipankar Bandyopadhyay, Medical University of

South Carolina

8:35 a.m. Spike and Slab Priors for Bayesian Variable

Selection—◆Marina Vannucci, Rice University

9:00 a.m. Structured Variable Selection and Estimation—

Ming Yuan, Georgia Institute of Technology

9:25 a.m. Model Selection for Partial Smoothing Splines—

Hao (Helen) Zhang, North Carolina State

University ; Guang Cheng, Purdue University

9:50 a.m.

Enforced Spike and Slab Sparsity—◆Hemant

Ishwaran, Cleveland Clinic Foundation

10:15 a.m. Floor Discussion

Washington, DC 225

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

536 CC-102B n J

Perspectives in Genomics Research—

Invited

Committee of Representatives to AAAS

Organizer(s): Turkan K. Gardenier, Pragmatica Corp.

Chair(s): Turkan K. Gardenier, Pragmatica Corp.

538 n

Chemometrics—Invited

CC-149B

Section on Physical and Engineering Sciences, Section on

Quality and Productivity

Organizer(s): Kerby Shedden, University of Michigan

Chair(s): Ji Zhu, University of Michigan

8:35 a.m. Search for Genetic Markers of Susceptibility for

Breast and Prostate Cancer—◆Gilles F. Thomas,

National Cancer Institute

9:00 a.m. A Novel Nonparametric Approach to Genetics,

Genomics, and Phenomics—◆Knut M. Wittkowski,

The Rockefeller University

9:25 a.m. Genome-Wide Association Studies: A Look at Their

Past, Present, and Future—◆John Barnard, The

Cleveland Clinic Foundation

9:50 a.m.

Disc: Robert C. Elston, Case Western

Reserve University

10:10 a.m.

Floor Discussion

8:35 a.m.

Understanding Heterogeneity of Chemical

Localization in Live Cells—◆Kerby Shedden,

University of Michigan

9:05 a.m. Screening Compounds for Monotone Association with Convex Combinations of Activity Predictors

Over Unspecified Subpopulations of Cell-Lines—

Joseph S. Verducci, The Ohio State University

;

Li Yu, The Ohio State University

; Paul Blower,

The Ohio State University

9:35 a.m. A Co-Training Algorithm for Multiview Data with

Applications in Data Fusion—◆Mark Culp, West

Virginia University

; George Michailidis, University of Michigan

10:05 a.m. Floor Discussion

537 CC-201 n

Pharmacokinetic and Pharmacodynamic

Modeling—Invited

Biopharmaceutical Section, Biometrics Section

Organizer(s): Alan H. Hartford, Merck & Co., Inc.

Chair(s): Alan H. Hartford, Merck & Co., Inc.

539 CC-206

The Influence of Psychology, Cartography, and

Computer Science on the Design of Interactive

Graphics for Spatial Statistical Data—Invited

Section on Statistical Graphics, Section on Government Statistics,

Interface Foundation of North America

Organizer(s): Linda Williams Pickle, StatNet Consulting LLC

Chair(s): Linda Williams Pickle, StatNet Consulting LLC

8:35 a.m.

A Model-Based Framework for Quantitative

Decisionmaking in Drug Development—◆Kenneth

G. Kowalski, Ann Arbor Pharmacometrics Group ;

Jonathan L. French, Pfizer Inc.

; Mike K. Smith,

Pfizer Inc.

; Matthew M. Hutmacher, Ann Arbor

Pharmacometrics Group

9:00 a.m. Leveraging Pharmacokinetic (PK) and

Pharmacodynamic (PD) Knowledge in Early

Clinical Drug Development—◆Ene I. Ette,

Anoixis Corporation

9:25 a.m. Computational Methods for Nonlinear Mixed

Models—◆Douglas M. Bates, University of

Wisconsin-Madison

9:50 a.m. Leveraging Exposure Response Information for Efficient Drug Development: Impact of

Pharmacometrics—◆Pravin R. Jadhav, FDA

10:15 a.m. Floor Discussion

8:35 a.m.

Cognitive Psychology and Statistical Map

Reading—◆Douglas J. Herrmann, Indiana State

University (retired)

9:00 a.m.

Grounding Exploratory Spatial Data Analysis Tool

Design in Cartographic Theory, Practice, and

Empirical Research—◆Alan MacEachren,

Penn State University

9:25 a.m.

Data Cartography: The View from Human Computer

Interaction—◆Danyel A. Fisher, Microsoft Research

9:50 a.m. Visualizing Patterns in Data with Micromaps—

Daniel B. Carr, George Mason University

10:15 a.m. Floor Discussion

226 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

540 CC-144A n J

From Data to Decisionmaking: Applied

Statisticians Protecting the Environment—

Invited

Section on Statistics and the Environment, Section on

Statistics in Epidemiology, Social Statistics Section, Section on Government Statistics

Organizer(s): Jenise Swall, U.S. Environmental Protection Agency;

Kristen M. Foley, U.S. Environmental Protection Agency

Chair(s): Kristen M. Foley, U.S. Environmental Protection Agency

542 CC-204C n

Recent Advances in Nonparametric Methods for Interval-Censored Data—Invited

ENAR, Biometrics Section, Biopharmaceutical Section

Organizer(s): Dipankar Bandyopadhyay, Medical University of

South Carolina

Chair(s): Samiran Ghosh, Indiana University Purdue University

Indianapolis

8:35 a.m.

Given Limited Resources, What Can Be Done to Reduce Elevated Blood Lead Levels in

Children?—◆William F. Hunt, Jr., North

Carolina State University

; Barry D. Nussbaum,

U.S. Environmental Protection Agency ; Steve

Somers, North Carolina State University

; Josh

Drukenbrod, U.S. Environmental Protection Agency

;

Ashley Myers, North Carolina State University

9:00 a.m. As the Population Turns: The Case of Elevated

Blood Lead Levels and Changing Social

Phenomena—◆Barry D. Nussbaum, U.S.

Environmental Protection Agency

; Ronnie

Levin, U.S. Environmental Protection Agency

9:25 a.m. Science Policy Interface at U.S. EPA: Some Views from One Who’s Been There—◆Rita Schoeny, U.S.

Environmental Protection Agency

9:50 a.m. Putting a Regulation Through: Where Statistics Fit

In—◆Elizabeth H. Margosches, U.S. Environmental

Protection Agency

10:15 a.m. Floor Discussion

8:35 a.m. Confidence Intervals for Current Status Data with

Competing Risks—◆Marloes H. Maathuis, ETH

Zurich

; Michael Hudgens, The University of North

Carolina at Chapel Hill

9:00 a.m. Asymptotics of Interval-Censored Data Under

Various Observation Time Schemes—◆Moulinath

Banerjee, University of Michigan

9:25 a.m.

Nonparametric Inference in Multistate Models with Interval-Censored Data—◆Somnath Datta,

University of Louisville

; Ling Lan, Medical College of Georgia

9:50 a.m. Multistate Analysis of Bivariate Interval-Censored

Failure Time Data—◆Richard Cook, University of Waterloo

10:15 a.m.

Floor Discussion

543

Organizer(s): Karen A. Kopciuk, Alberta Cancer Board

Chair(s): Karen A. Kopciuk, Alberta Cancer Board

CC-102A n

Statistical Methods in Bioinformatics—Invited

SSC, Section on Bayesian Statistical Science,

Biopharmaceutical Section

541 CC-202B

New Developments in Financial Econometrics—

Invited

WNAR

Organizer(s): Yingying Fan, University of Southern California

Chair(s): Tao Huang, University of Virginia

8:35 a.m. Vast Volatility Matrix Estimation for High-Frequency

Financial Data—◆Yazhen Wang, National

Science Foundation

9:05 a.m. Modeling and Forecasting Bond Yield Curves with Functional Dynamic Models—◆Rong Chen,

Rutgers University

9:35 a.m. Parameter Estimation and Model Testing for

Markov Processes via Conditional Characteristic

Functions—◆Song Xi Chen, Iowa State University;

Liang Peng, Georgia Tech

; Cindy L. Yu, Iowa

State University

10:05 a.m. Floor Discussion

8:35 a.m.

Current Issues in Genome-Wide Association

Studies of Complex Traits—◆Shelley B. Bull,

Samuel Lunenfeld Research Institute of Mount Sinai

Hospital

; Lei Sun, University of Toronto

9:05 a.m.

Statistical Issues Involved in the Analysis of High-

Throughput ChIP Assays—◆Raphael Gottardo,

Institut de Recherche Cliniques de Montreal

9:35 a.m.

Effects of Measurement Error in Microarray

Data Analysis—◆Wenqing He, University of

Western Ontario

10:05 a.m. Floor Discussion

Washington, DC 227

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

544 CC-143C

Bayesian Methods for Model Uncertainty—

Invited

IMS, Section on Bayesian Statistical Science

Organizer(s): David Dunson, Duke University

Chair(s): David Dunson, Duke University

8:35 a.m. Bayesian Subgroup Analysis—◆James Berger,

Statistical and Applied Mathematical

Sciences Institute

9:05 a.m. Flexible Approaches for Computing Marginal

Likelihoods—◆Robert J. Kohn, University of

New South Wales

9:35 a.m. Effective Sample Size in Linear Models—◆Susie

Bayarri, University of Valencia

; James Berger,

Statistical and Applied Mathematical Sciences

Institute

; Luis R. Pericchi, University of Puerto Rico

10:05 a.m.

Floor Discussion

Invited Panels 8:30 a.m.–10:20 a.m.

546

Memorial for Hubert Lilliefors—Invited

Memorial

CC-149A

Organizer(s): Fritz Scheuren, NORC at the University of Chicago

Chair(s): Shail J. Butani, Bureau of Labor Statistics

Panelists:

Reza Modarres, The George Washington University

Bob Smythe, Oregon State University

Fritz Scheuren, NORC at the University of Chicago

Robert Shumway, University of California, Davis

Nozer Singpurwalla, The George Washington

University

10:15 a.m. Floor Discussion

545 CC-143A

Inference for Parameters of Biological and

Biochemical Processes Modeled via Branching

Processes and Their Variants—Invited

IMS

Organizer(s): Anand Vidyashankar, Cornell University

Chair(s): Anand Vidyashankar, Cornell University

Topic-Contributed Sessions

8:30 a.m.–10:20 a.m.

547 CC-204B n

Considerations on Design and Analysis for

Multi-Regional Trials—Topic-Contributed

Biopharmaceutical Section

Organizer(s): Yoko Tanaka, Eli Lilly and Company

Chair(s): Yoko Tanaka, Eli Lilly and Company

8:35 a.m. Inference for Quantitation Parameters in

Polymerase Chain Reactions via Branching

Processes with Random Effects—◆Bret Hanlon,

Cornell University

; Anand Vidyashankar,

Cornell University

9:05 a.m. Composite Likelihood Estimation for Age-

Dependent Branching Processes Using CFSE-

Labeling Data—◆Ollivier Hyrien, University of

Rochester

; Rui Chen, University of Rochester Medical

Center

; Martin S. Zand, University of Rochester

10:05 a.m. Floor Discussion

8:35 a.m. Considerations on Criteria for Consistency Across

Regions in Multi-Regional Trials—◆Kimitoshi Ikeda,

Novartis Pharma K.K.

8:55 a.m.

Issues in Evaluating Multiregional Clinical Trials—

Yuki Ando, Pharmaceuticals and Medical

Devices Agency

9:15 a.m.

Prediction of Fracture Risk Based Upon Baseline

Characteristics—◆Kyoungah See, Eli Lilly and

Company

9:35 a.m. Sample Size Considerations for Japanese

Patients in a Multi-Regional Trial Based on MHLW

Guidance—◆Hui Quan, sanofi-aventis; Peng-Liang

Zhao, sanofi-aventis

; Ji Zhang, sanofi-aventis; Martin

Roessner, sanofi-aventis ; Kyo Aizawa, sanofi-aventis

9:55 a.m.

Disc: James Hung, FDA

10:15 a.m. Floor Discussion

228 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

548 CC-144B n J

Bayesian Semiparametric Methods in

Biostatistics—Topic-Contributed

Section on Bayesian Statistical Science

Organizer(s): Sujit Ghosh, North Carolina State University

Chair(s): Sujit Ghosh, North Carolina State University

9:55 a.m. On the Exchangeable Multinomial Distribution—

E. Olusegun George, The University of Memphis ;

Kyeongmi Cheon, The University of Memphis

; L.

Yuan, The University of Memphis

10:15 a.m. Floor Discussion

8:35 a.m. A Bayesian Semiparametric Accelerated Failure

Time Cure Model for Censored Data—◆Elizabeth C.

Nelson, North Carolina State University ; Sujit Ghosh,

North Carolina State University

; Wenbin Lu, North

Carolina State University

8:55 a.m. Center-Adjusted Inference for a Nonparametric

Bayesian Random Effect Distribution—◆Yisheng

Li, The University of Texas M.D. Anderson Cancer

Center

; Peter Müller, The University of Texas M.D.

Anderson Cancer Center

; Xihong Lin, Harvard School of Public Health

9:15 a.m.

A Variable Selection Approach to Bayesian

Monotonic Regression with Bernstein

Polynomials—◆S. McKay Curtis, University of

Washington

; Sujit Ghosh, North Carolina State

University

9:35 a.m. Bayesian Independent Component Analysis Using

Mixture Priors—◆Ani Eloyan, North Carolina

State University

; Sujit Ghosh, North Carolina

State University

9:55 a.m. Semiparametric Bayesian Approach for Testing

Noninferiority Using Relative Risk and Odds

Ratio for Binary Data—◆Muhtarjan Osman, North

Carolina State University

; Sujit Ghosh, North

Carolina State University

10:15 a.m. Floor Discussion

550 n J

Temporal and Cross-Sectional Consistency in Purchasing Power Parities—Topic-

Contributed

Business and Economic Statistics Section

CC-155

Organizer(s): Kim Zieschang, International Monetary Fund

Chair(s): Alan Heston, The University of Pennsylvania

8:35 a.m.

An Econometric Approach to Construct World

Tables of Purchasing Power Parities and Real

Incomes: Analytical Properties and Tables for 1970–

2005—D.S. Prasada Rao, University of Queensland;

Alicia Rambaldi, University of Queensland

; H.E.

Doran, University of Queensland

8:55 a.m. Index Number Approaches to Spatial and Temporal

Consistency: Comparing the 1985 and 2005 ICP

Global Benchmarks—W. Erwin Diewert, University of British Columbia ; ◆D.S. Prasada Rao, University of Queensland

; Kim Zieschang, International

Monetary Fund

9:15 a.m. Updating and Backdating the 2005 ICP Results:

Isolating Sample Design Effects with Application to Asia—◆Yuri Dikhanov, World Bank

9:35 a.m. Intertemporal Comparisons of Regional Price

Parities in the United States, 2003–2007—

Bettina H. Aten, Bureau of Economic Analysis

9:55 a.m. Floor Discussion

549 CC-158A

J

Semiparametric Procedures in Statistical

Analysis—Topic-Contributed

Section on Risk Analysis

Organizer(s): Norou Diawara, Old Dominion University

Chair(s): Mohammad Ahsanullah, Rider University

551 CC-150A n J

Using the Current Population Survey to

Analyze the Labor Force Characteristics of

Persons with Disabilities—Topic-Contributed

Section on Survey Research Methods, Social Statistics Section,

Section on Government Statistics

Organizer(s): Stephen M. Miller, Bureau of Labor Statistics

Chair(s): Donsig Jang, Mathematica Policy Research, Inc.

8:35 a.m. Forecasting Mortality Rates via Density

Ratio Modeling—◆Benjamin Kedem,

University of Maryland

8:55 a.m. Mixture of Bivariate Exponential Distributions—

Norou Diawara, Old Dominion University

9:15 a.m. Approximate Bayesian Computation for

Flexible Quantile Distributions—◆Robert King,

Newcastle University

9:35 a.m. Neural Networks: A Flexible Nonlinear Model—

Barbara Bailey, San Diego State University

8:35 a.m.

Statistical Estimation for Persons with Disabilities as Measured in the Current Population Survey—

Stephen M. Miller, Bureau of Labor Statistics

8:55 a.m. Labor Force Analysis of Those Identified as

Disabled in the CPS—◆Anne E. Polivka, Bureau of

Labor Statistics

9:15 a.m. An Evaluation of Efforts to Use a Work Disability

Question to Evaluate the Labor Force Situation of Persons with a Disability—◆Terence M.

McMenamin, Bureau of Labor Statistics

Washington, DC 229

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. The Addition of Questions on Disability to the

Current Population Survey—◆Steven F. Hipple,

Bureau of Labor Statistics

9:55 a.m.

Disc: Thomas W. Hale, Social Security Administration

10:15 a.m.

Floor Discussion

552

Designs for Early-Phase Clinical Trials—

Topic-Contributed

CC-202A

Biometrics Section, Biopharmaceutical Section, Section on

Bayesian Statistical Science

Organizer(s): Xuelin Huang, The University of Texas M.D. Anderson

Cancer Center

Chair(s): Ying Yuan, The University of Texas M.D. Anderson

Cancer Center

9:15 a.m. Streaming Poisson Data—◆David W. Scott,

Rice University

9:35 a.m. Nonparametric Density Estimation of Streaming

Data Using Orthogonal Series—◆Kyle A. Caudle,

U.S. Naval Academy ; Edward J. Wegman, George

Mason University

9:55 a.m. Grid Computing and Applications—◆Abdullah

A. Alnoshan, The George Washington University ;

Shmuel Rotenstreich, The George Washington

University

10:15 a.m. Floor Discussion

554

Organizer(s): Shail J. Butani, Bureau of Labor Statistics

Chair(s): Larry L. Huff, Bureau of Labor Statistics

CC-158B

Nonresponse Bias Analysis—Topic-Contributed

Section on Survey Research Methods, Section on

Government Statistics

8:35 a.m.

Bayesian Methods in Clinical Research—

Wei Chen, Karmanos Cancer Institute

8:55 a.m. Calibration of the Continual Reassessment

Method—◆Shing Lee, Columbia University;

Ying Kuen Cheung, Columbia University

9:15 a.m. Achieving Covariate Balance in Clinical Trials with

Outcome-Adaptive Randomization—Jing Ning, The

University of Texas M.D. Anderson Cancer Center

;

Xuelin Huang, The University of Texas M.D.

Anderson Cancer Center

9:35 a.m. Dose-Schedule Finding in Phase I/II Clinical

Trials Using a Bayesian Isotonic Transformation—

Benjamin N. Bekele, The University of Texas M.D.

Anderson Cancer Center

; Yisheng Li, The University of Texas M.D. Anderson Cancer Center

; Yuan Ji, The

University of Texas M.D. Anderson Cancer Center

9:55 a.m. Adaptive Randomization Designs for Oncology

Trials with Both Short-Term and Long-Term

Outcomes—◆Hao Liu, Baylor College of Medicine;

Xuelin Huang, The University of Texas M.D.

Anderson Cancer Center

10:15 a.m. Floor Discussion

553

Section on Statistical Computing

Organizer(s): Yasmin Said, George Mason University

Chair(s): Yasmin Said, George Mason University

CC-207B n J

Computing Environments and Large Data

Sets—Topic-Contributed

8:35 a.m.

An Assessment of the Effect of Calibration on

Nonresponse Bias in the 2006 Agricultural

Resource Management Survey—◆Morgan S.

Earp, National Agricultural Statistics Service ;

Jaki McCarthy, National Agricultural Statistics

Service

; Nick D. Schauer, National Agricultural

Statistics Service

; Phillip S. Kott, U.S. Department of Agriculture

8:55 a.m. Assessing Nonresponse Bias in the Consumer

Expenditure Interview Survey—◆Susan King,

Bureau of Labor Statistics

; Boriana Chopova, Bureau of Labor Statistics ; Jennifer Edgar, Bureau of

Labor Statistics ; Jeffrey Gonzalez, Bureau of Labor

Statistics

; David McGrath, Bureau of Labor Statistics;

Lucilla Tan, Bureau of Labor Statistics

9:15 a.m. Conducting Nonresponse Bias Analyses for Two

Business Surveys at the U.S. Census Bureau:

Methods and (Some) Results—◆Katherine J.

Thompson, U.S. Census Bureau

9:35 a.m. Components of Error Analysis in the Current

Employment Statistics Survey—Larry L. Huff,

Bureau of Labor Statistics

; ◆Julie Gershunskaya,

Bureau of Labor Statistics

9:55 a.m.

Disc: Clyde Tucker, Bureau of Labor Statistics

10:15 a.m. Floor Discussion

8:35 a.m. Multivariate Data Adaptive Compression and

Density Estimation—◆Edward J. Wegman, George

Mason University

; Roger Shores, U.S. Census Bureau

8:55 a.m. A Swift Swiftian Look at Massive Data Sets—

Antony Unwin, Uni Augsburg

232 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

555 CC-204A n

Abdominal Obesity: Searching for the Best

Measure—Topic-Contributed

Section on Statistics in Epidemiology

Organizer(s): Marike Vuga, University of Pittsburgh

Chair(s): Kenneth Schechtman, Washington University in St. Louis

Topic-Contributed Panels

8:30 a.m.–10:20 a.m.

557 n

GAISE in the Online Course—

Topic-Contributed

Section on Statistical Education

Organizer(s): David Zeitler, Grand Valley State University

Chair(s): David Zeitler, Grand Valley State University

Contributed Sessions

8:30 a.m.–10:20 a.m.

CC-101

8:35 a.m. Characterization of the Conicity Index in the US

Adult Population—◆Rodolfo Valdez, CDC;

Tiebin Liu, CDC

8:55 a.m. Where to Draw the Line for Abdominal Obesity:

Evidence from International Data—◆Mark

Woodward, Mount Sinai School of Medicine

9:15 a.m. Conceptual Review of Issues with Practical

Abdominal Obesity Measures—◆Marike Vuga,

University of Pittsburgh

9:35 a.m. Abdominal Volume Index—◆Fernando Guerrero-

Romero, Mexican Social Security Institute

; Martha

Rodriguez-Moran, Mexican Social Security Institute

9:55 a.m. Methodological Issues in the Use of Anthropometric

Surrogates of Abdominal Obesity—◆Ike S. Okosun,

Georgia State University

10:15 a.m. Floor Discussion

Panelists:

Michelle Everson, The University of Minnesota

Sue Schou, Idaho State University

Patti B. Collings, Brigham Young University

Jamis Perrett, Texas A&M University

8:55 a.m. Floor Discussion

556 n J

2007 Census of Agriculture—

Topic-Contributed

CC-159A

Section on Government Statistics, SSC, Section on Survey

Research Methods

Organizer(s): Carol House, National Agricultural Statistics Service

Chair(s): Mark Harris, National Agricultural Statistics Service

8:35 a.m.

Coverage Adjustment on the 2007 Census of

Agriculture—◆Matt Fetter, National Agricultural

Statistics Service

8:55 a.m.

Overview of the Census of Agriculture—◆Chris S.

Messer, National Agricultural Statistics Service

9:15 a.m. Searching for Donors: Refining an Imputation

Strategy—◆Michael Hogye, National Agricultural

Statistics Service

; Peter Quan, National Agricultural

Statistics Service

9:35 a.m. 2007 Census of Agriculture Nonresponse

Methodology—◆William Cecere, National

Agricultural Statistics Service

9:55 a.m.

Impact of Outreach Initiatives on the 2007

Census of Agriculture—◆William Iwig,

National Agricultural Statistics Service

10:15 a.m. Floor Discussion

558

Bayesian Methods—Contributed

IMS, Section on Bayesian Statistical Science

Chair(s): Ali Shojaie, University of Michigan

CC-144C

8:35 a.m. Batch Means and Spectral Variance Estimators in

Markov Chain Monte Carlo—◆James M. Flegal,

University of California, Riverside

; Galin L. Jones,

The University of Minnesota

8:50 a.m. Conditional Simulation in the Two-Stage

Hierarchical Model—◆Ronald Neath, Baruch

College

; Galin L. Jones, The University of Minnesota

9:05 a.m.

On Estimating the Spectral Densities of a Class of Stationary Spatio-Temporal Processes—

Hui Xu, St. Cloud State University

; Herman

Rubin, Purdue University

9:20 a.m. Misspecification in the Latent Class and Latent

Markov Model—◆David Kaplan, University of

Wisconsin-Madison

9:35 a.m. Recurrent Sets and Communcation for

Monotonically Decreasing Nonstationarity—

Zach Dietz, Hamilton College

9:50 a.m. Some Admissible Minimax Formal Bayes Estimators of a Multivariate Normal Mean—◆Brian Shea,

The University of Minnesota

10:05 a.m. General Maximum Likelihood Empirical

Bayes Estimation of Normal Means—◆Wenhua

Jiang, Rutgers University ; Cun-Hui Zhang,

Rutgers University

Washington, DC 233

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

559 n

Bayesian Control of Error Rates and

Networks—Contributed

Section on Bayesian Statistical Science

CC-142

Chair(s): Leanne Streja, University of California, Los Angeles

8:35 a.m. Empirical Bayes FCR Controlling Confidence

Intervals—◆Zhigen Zhao, Cornell University;

J.T. Gene Hwang, Cornell University

8:50 a.m. Insights into p-values and Bayes Factors from

False Positive and False Negative Bayes Factors—

Hormuzd Katki, National Cancer Institute

9:05 a.m. Assessing Frequentist Operating Characteristics for a Bayesian Design: A Case Study—◆Zachary

Skrivanek, Eli Lilly and Company

; Brenda Gaydos, Eli

Lilly and Company

; Scott Berry, Berry Consultants

9:20 a.m. Gaussian Graphical Models Using Covariance

Selection—◆Rajesh Talluri, Texas A&M University;

Bani K. Mallick, Texas A&M University

9:35 a.m. Posterior Distributions on Networks—◆Lili Zhuang,

The Ohio State University

; Noel A. Cressie, The Ohio

State University

9:50 a.m. Objective Bayesian Graphical Model Selection with Bayes Factors Based on Test Statistics and

Nonlocal Alternative Priors: How Do Interactions of

DNA Components Lead to a Disease?—◆Adarsh

Joshi, The University of Texas M.D. Anderson Cancer

Center

; Jianhua Hu, The University of Texas M.D.

Anderson Cancer Center

; Valen E. Johnson, The

University of Texas M.D. Anderson Cancer Center

10:05 a.m. Floor Discussion

560

Analytic: IRT, MCMC, SEM—Contributed

Social Statistics Section

Chair(s): Sherri Pals, CDC

CC-160

8:35 a.m. Line Search Algorithm for Maximum Likelihood

9:05 a.m.

9:20 a.m. in Exponential Families—◆Saisuke Okabayashi,

The University of Minnesota

The University of Minnesota

University of Foreign Studies

; Charles J. Geyer,

8:50 a.m. A Choice of the Number of Factors and Hyper-

Parameter Selection in Bayesian Factor Analysis

Model—◆Kei Hirose, Kyushu University; Shuichi

Kawano, Kyushu University

; Sadanori Konishi,

Kyushu University ; Masanori Ichikawa, Tokyo

Identification of Latent Structure: Inside or Outside

Structural Equation Model?—◆Hee-Choon Shin,

NORC at the University of Chicago

Structural Equation Model Diagnosis Using Two

Scatter Plots—◆Ke-Hai Yuan, University of Notre

Dame ; Kentaro Hayashi, University of Hawaii

9:35 a.m. Extra Variation Logistic Regression Models

Over Time—◆Winston A. Richards, Penn State

University Harrisburg

9:50 a.m. A Consequence of Ignoring Clustering of Item

Responses Obtained from Complex Samples

During Item Response Theory Scaling: Biased

Estimation of Item Discrimination Parameters—

Aaron Douglas, Mathematica Policy Research, Inc.

10:05 a.m. Specification and Interpretation of Models for

Monotonic Change to an Asymptote: A Nonlinear

Mixed Effects Approach—◆Joseph R. Rausch,

Cincinnati Children’s Hospital Medical Center

561

Survival Analysis Methods in Epidemiology—

Contributed

Section on Statistics in Epidemiology

CC-203A

Chair(s): Ronald Gangnon, University of Wisconsin-Madison

8:35 a.m.

Efficiency of the Maximum Partial Likelihood

Estimator Under Nested Case-Control Design—

Larry Goldstein, University of Southern California

;

Haimeng Zhang, Mississippi State University

8:50 a.m. Time-Varying Effects of Prognostic Factors

Associated with Disease-Free Survival in Breast

Cancer—◆Karen Messer, University of California,

San Diego ; Minya Pu, University of California, San

Diego

; Barbara Parker, University of California, San

Diego

; Cynthia Thomson, University of Arizona;

Bette Caan, Kaiser Permanente Northern California

;

Shirley Flatt, University of California, San Diego ;

Lisa Madlensky, University of California, San

Diego

; Richard Hajek, The University of Texas

M.D. Anderson Cancer Center

; Wael Al-Delaimy,

University of California, San Diego

; Nazmus

Saquib, University of California, San Diego ; Ellen

Gold, University of California, Davis ; John Pierce,

University of California, San Diego

; Loki Natarajan,

University of California, San Diego

9:05 a.m.

Analyzing Bivariate Survival Data with

Interval Sampling and Application to Cancer

Epidemiology—◆Hong Zhu, Johns Hopkins

Bloomberg School of Public Health

; Mei-Cheng

Wang, Johns Hopkins Bloomberg School of

Public Health

9:20 a.m.

Covariate Bias Induced by Length-Biased Sampling of Failure Times—◆Pierre-Jerome Bergeron,

University of Ottawa ; Masoud Asgharian, McGill

University

; David B. Wolfson, McGill University

9:35 a.m. Survival Function with Informative Drop-Outs: Using

FGM Copula—◆Md Monir Hossain, The University of Texas Health Science Center at Houston

; Tosiya S.

Sato, Kyoto University

; Mohammad H. Rahbar, The

University of Texas Health Science Center at Houston

9:50 a.m.

Semiparametric Method for Cure Rate Model—

Feifei Zhou, The University of Hong Kong

234 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

10:05 a.m. Modeling Exchangeable Binary Data with

Dependence Between the Design and Outcome

Success Probabilities—◆David Todem, Michigan

State University

State University

; Karen P. Williams, Michigan

562

Dimension Reduction in Regression—

Contributed

Interface Foundation of North America, Section on Statistical

Learning and Data Mining

Chair(s): Mark Fiecas, Brown University

8:35 a.m.

Weighted Bidimensional Regression—◆Kendra

K. Schmid, University of Nebraska Medical Center

;

David Marx, University of Nebraska-Lincoln ; Ashok

Samal, University of Nebraska-Lincoln

8:50 a.m. On Ridge Regression, Convexity, and Nonlinear

Problems—◆Prasenjit Kapat, The Ohio State

University

; Prem K. Goel, The Ohio State University

9:05 a.m. Network Exploration via the Adaptive LASSO and SCAD Penalties—Jianqing Fan, Princeton

University

; ◆Yang Feng, Princeton University;

Yichao Wu, North Carolina State University

9:20 a.m. Nonlinear Regression Modeling via Bayesian

Regularization with Lasso-Type Penalties—◆Shohei

Tateishi, Kyushu University

; Sadanori Konishi,

Kyushu University

9:35 a.m. Cancer Microarray Feature Selection Using Support

Vector Machines: Comparing Regularization

Techniques—◆Tim Peters, Macquarie University;

David Bulger, Macquarie University

; Jean Y.H.

Yang, University of Sydney ; To-ha Loi, St. Vincent’s

Hospital

; David Ma, St. Vincent’s Hospital

9:50 a.m. Random Lasso—◆Sijian Wang, University of

Wisconsin-Madison ; Bin Nan, University of

Michigan

; Saharon Rosset, Tel Aviv University;

Ji Zhu, University of Michigan

10:05 a.m. Variable Selection for the Varying Coefficient Cox

Model—◆Lifeng Wang, Michigan State University;

Hongzhe Li, University of Pennsylvania

; Jianhua

Huang, Texas A&M University

563

Teaching and Technology—Contributed

Section on Statistical Education

Chair(s): Kellie Keeling, University of Denver

CC-157

CC-210

9:05 a.m. Use of Podcast Technology for an Online Business

Statistics Course—◆Begona Perez-Mira, Louisiana

State University

; Joni Ancona Nunnery, Louisiana

State University

9:20 a.m. Interactive Quizzes for Continuous Learning and

Evaluation—◆Gunnar Stefansson, University

Iceland

; Asta J. Sigurdardottir, The Commercial

College of Iceland

9:35 a.m. Using Personal Laptops to Improve Statistics

Education—Andrew G. Glen, West Point; ◆JoAnna

Crixell, West Point

; Richard Bell, Auburn University

9:50 a.m. Throw Away the Calculator and Teach Statistics—

Gerald Keller, Wilfrid Laurier University

10:05 a.m. Developmental Trajectories of Health Science

Students’ Statistics Reasoning and Mastery—

Ralph M. Turner, University of the Sciences

564

Section on Statistical Computing, Interface Foundation of

North America

Chair(s): Jeffrey L. Solka, Naval Surface Warfare Center

CC-205

Sparsity and Shrinkage in Modern Statistical

Modeling—Contributed

8:35 a.m.

Sparse Sufficient Dimension Reduction and

Variable Selection—◆Xin Chen, University of Minnesota of Minnesota

; R. Dennis Cook, The University

8:50 a.m. Shrinkage Estimators and Their Efficiency in

Reliability Calculations—◆Mohammed A. Shayib,

Prairie View A&M University

; Aliakbar Montazer

Haghighi, Prairie View A&M University

9:05 a.m. Coordinate Descent Algorithms for Nonconvex

Penalized Regression Methods—◆Patrick

Breheny, The University of Iowa

; Jian Huang,

The University of Iowa

9:20 a.m. Estimation of the Proportion of Exponential

Signals—◆Deepak Ayyala, University of Maryland,

Baltimore County ; Junyong Park, University of Maryland, Baltimore County ; Anindya Roy,

University of Maryland, Baltimore County

9:35 a.m.

Estimating the Continuous Mixing Distribution by Cross-Validation in Mixture Models—◆Ji-Ping

Wang, Northwestern University

9:50 a.m.

On the Use of K-Fold Cross-Validation to Choose

Cutoff Values and Assess the Performance of

Predictive Models in Stepwise Regression—

Salahuddin Khan, University of Peshawar

10:05 a.m. Floor Discussion

8:35 a.m. Expect More, Get More: Joys of Teaching Online—

Olcay Akman, Illinois State University

8:50 a.m. Searching Our Collective Consciousness:

A Google Trends Activity for Introductory

Statistics—◆Eric Nordmoe, Kalamazoo College

Washington, DC 235

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

565

Advanced Topics—Contributed

CC-148

Section on Physical and Engineering Sciences, Section on

Quality and Productivity

Chair(s): Elizabeth Martínez-Gómez, National Autonomous

University of Mexico

9:50 a.m.

Coherence Analysis of EEG Signals: A

Nonparametric Likelihood Approach—

Suddhasatta Acharyya, Novartis

Pharmaceuticals ; Hernando Ombao,

Brown University

10:05 a.m. Assessing Time-Changing Hurst Exponent and

Variance in Multifractional Brownian Motion—

Kichun S. Lee, Georgia Institute of Technology ;

Brani Vidakovic, Georgia Tech/Emory University

8:35 a.m.

Numerical Algorithm-Based Estimation Methods for ODE Models—◆Arun Kumar, University of

Rochester

; Hulin Wu, University of Rochester;

Hongqi Xue, Rochester University

8:50 a.m. Optimal Block Designs for Correlated

Observations—◆Nizam Uddin, University of

Central Florida

9:05 a.m. A Robust Nonlinear Method for Spectral Analysis—

Ta-Hsin Li, IBM T. J. Watson Research Center

9:20 a.m.

Statistical Response of Chaotic Networks to

Structured Noise—◆Morris H. Morgan, Hampton

University

; Carolyn B. Morgan, Hampton University

9:35 a.m. The Optimum Combination of Full System and

Subsystem Tests for Estimating the Reliability of a System—◆Coire J. Maranzano, Johns Hopkins

University Applied Physics Laboratory ; James C.

Spall, Johns Hopkins University Applied

Physics Laboratory

9:50 a.m. Floor Discussion

566

Empirical Likelihood—Contributed

Section on Nonparametric Statistics

Chair(s): R. Webster West, Texas A&M University

CC-141

567 CC-150B n J

Policy-Impacting Estimation Issues—

Contributed

Section on Government Statistics, Social Statistics Section,

Section on Survey Research Methods

Chair(s): Iris Shimizu, National Center for Health Statistics

8:35 a.m.

A Three-Phase Model of Census Inclusion—

Douglas Olson, U.S. Census Bureau

8:50 a.m. Assessing the Effects of Imputation on Income

Estimates in the U.S. Consumer Expenditure

Survey: Comparison with the Current Population

Survey—◆William D. Passero, Bureau of

Labor Statistics

9:20 a.m. The Impact of Allocations as a Tool for Statistical

Editing of Corporate Taxpayer Administrative

Records—◆Marty Harris, IRS, Statistics of Income

9:35 a.m. Propensity Scoring: An IRS Case Study in

Determining the Relationship Between Bank

Products and Noncompliance—◆Karen C.

Masken, IRS

; Mark Mazur, IRS; Joanne Meikle,

IRS

; Roy Nord, IRS

9:50 a.m. Trends in Early Childhood Vaccination Coverage:

Progress Toward U.S. Healthy People 2010 Goals—

Zhen Zhao, CDC

; Philip J. Smith, CDC; Elizabeth T.

Luman, CDC

10:05 a.m. Floor Discussion

8:35 a.m. Bivariate Models with Partially Known Marginals:

An Empirical Likelihood Approach with Infinitely

Many Constraints—◆Anton Schick, Binghamton

University ; Hanxiang Peng, Indiana University

Purdue University Indianapolis

8:50 a.m. Bayesian Empirical Likelihood for Quantile

Regression—◆Yunwen Yang, University of Illinois at Urbana-Champaign

9:05 a.m. Entropy-Based Empirical Likelihood Ratio Change

Point Detection Policies—◆Albert Vexler, New York

State University at Buffalo

; Gregory Gurevich, Sami

Shamoon College

9:20 a.m. An Empirical Likelihood--Based Method for

Comparison of Treatment Effects: Test of Equality of Coefficients in Linear Models—◆Haiyan Su,

University of Rochester

; Hua Liang, University of Rochester

9:35 a.m. Nonparametric Maximum Likelihood Estimation of the Probability Density Function and Hazard

Function—◆Ilya Shvartsman, Penn State

University Harrisburg

568

Causal Inference—Contributed

Biometrics Section

Chair(s): Jing Cheng, University of Florida

CC-203B

8:35 a.m. Entire Matching and Its Application in an

Observational Study of Treatments for Melanoma—

Frank B. Yoon, University of Pennsylvania

; Paul R.

Rosenbaum, University of Pennsylvania

8:50 a.m. A General Approach to Causal Mediation Analysis—

Kosuke Imai, Princeton University

; Luke Keele,

The Ohio State University

; Dustin Tingley,

Princeton University

236 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:05 a.m. Extending Propensity Score Subclassification

Approach for Causal Effect Estimation Allowing

Covariate Measurement Error—◆Yi Huang,

University of Maryland, Baltimore County ; Karen

Bandeen-Roche, Johns Hopkins Bloomberg School of Public Health

9:20 a.m.

9:35 a.m.

Generalized Causal Mediation Analysis—◆Jeffrey

M. Albert, Case Western Reserve University

Free-Living Inferential Glucose Dynamic Modeling

Using Only Noninvasive Input—◆Derrick Rollins,

Iowa State University ; Lucas Beverlin, Iowa State

University

; Nisarg Vyas, BodyMedia, Inc.; Gregory

Welk, Iowa State University

; Warren Franke, Iowa

State University

9:50 a.m. Identify Qualitative Interaction Through Value of

Information—◆Peng Zhang, University of Michigan;

James Robins, Harvard School of Public Health

Susan Murphy, University of Michigan

Carnegie Mellon University ; Sally W. Thurston,

University of Rochester

;

10:05 a.m. Effect Modification of Prenatal Mercury Exposure

Association with Developmental Outcomes by

Social and Environmental Factors—◆Tanzy Love,

569 CC-208A

Microarray Analysis and Missing Data—

Contributed

Biometrics Section, Section on Survey Research Methods

Chair(s): Tao Liu, Brown University

8:35 a.m. A Random Pattern Mixture Model for Longitudinal

Binary Outcome with Informative Dropouts—

Chengcheng Liu, Merck & Co., Inc.

; Wensheng

Guo, University of Pennsylvania

; Sarah Ratcliffe,

University of Pennsylvania

8:50 a.m. Outfluence: The Impact of Missing Values—

Ofer Harel, University of Connecticut

9:05 a.m.

Multiple Imputation for Drop-Out in Longitudinal

Studies—Xiaodong Li, Columbia University;

Jingchen Liu, Columbia University

; Naihua Duan,

Columbia University

; Huiping Jiang, Columbia

University

; Jeffrey Lieberman, Columbia University;

Ragy Girgis, Columbia University

9:20 a.m. Multiple Imputation in Right-Truncated Multivariate

Normal Distribution, with Applications to RT-PCR—

Abhijit Dasgupta, Thomas Jefferson University ;

Terry Hysolp, Thomas Jefferson University ; Scott

Waldman, Thomas Jefferson University

9:35 a.m. Robust Variable and Model Selection with Missing

Data—◆Greg DiRienzo, State University of New York at Albany

9:50 a.m. Floor Discussion

570

Statistical Methods—Contributed

Business and Economic Statistics Section

571

CC-153

Chair(s): Marco A.R. Ferreira, University of Missouri-Columbia

8:35 a.m. An Analysis of Segmented Ratios—◆William D.

Heavlin, Google, Inc.

8:50 a.m. Just a Few More Moments: The g-and-h

Distribution—◆James B. McDonald, Brigham Young

University ; Patrick Turley, Brigham Young University

9:05 a.m. Toward Learning Similarity Measures for Uncertain

Features—◆Ming Xie, IBM China Research

Laboratory ; Bin Zhang, IBM China Research

Laboratory ; Li Xia, IBM China Research Laboratory;

Jin Yan Shao, IBM China Research Laboratory

;

Wenjun Yin, IBM

; Jin Dong, IBM China

Research Laboratory

9:20 a.m. Temporal Aggregation of Long Memory Processes and ARFIMA Approximations—◆Ka S. Man,

Western Illinois University

9:35 a.m. Testing the Equivalence of Means from a

Multivariate Normal Population and Its Application to Investment—◆Hubert J. Chen, National Cheng-

Kung University ; Yen-Chi Huang, National Cheng-

Kung University ; Minglong A. Wang, National

Cheng-Kung University

9:50 a.m. Computational Methods for Production-Based

Asset Pricing Models—◆Eric M. Aldrich, Duke

University

; Howard Kung, Duke University

10:05 a.m. On the Optimal Degree of Smoothness for a

Hodrick Prescott Filter—◆Munir Jalil, Universidad

Nacional de Colombia

; Javier Acosta, Universidad

Nacional de Colombia n J

Improvements in Sample Design for

Government-Sponsored Surveys—Contributed

Section on Survey Research Methods, Section on

Government Statistics

CC-159B

Chair(s): Sarjinder Singh, Texas A&M University-Kingsville

8:35 a.m.

Achieving the Unique Objectives of the Canadian

Health Measures Survey—◆Sarah-Maude Dion,

Statistics Canada

; Suzelle Giroux, Statistics Canada

8:50 a.m. Sample Redesign of Canadian Local Government

Surveys—◆James Ahkong, Statistics Canada; Martin

Renaud, Statistics Canada

9:05 a.m. Reducing the Public Employment Survey Sample

Size—◆Joseph Barth, U.S. Census Bureau

9:20 a.m. National Sample Reallocation for the Occupational

Employment Statistics Survey—◆David Piccone,

Bureau of Labor Statistics

; Marie Stetser, Bureau of

Labor Statistics

Washington, DC 237

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. Evaluation of Methods for Increasing Precision in

DAWN: Stratification and Ratio Estimation—

Peter Frechtel, RTI International

9:50 a.m. Progress on the Redesign of the Quarterly Tax

Survey—◆Amy Couzens, U.S. Census Bureau;

Carma Hogue, U.S. Census Bureau

; Paul Villena,

U.S. Census Bureau

10:05 a.m. Exploring Statistical Issues of Annual Sampling for the Current Population Survey—◆Benjamin M.

Reist, U.S. Census Bureau

; Antoinette Lubich, U.S.

Census Bureau

; Reid Rottach, U.S. Census Bureau

Invited Sessions

10:30 a.m.–12:20 p.m.

573 CC-102B n J

Nonparametric Regression Estimators in

Survey Sampling—Invited

Section on Survey Research Methods

Organizer(s): Daniell Toth, Bureau of Labor Statistics

Chair(s): John L. Eltinge, Bureau of Labor Statistics

572 CC-208B n

Microarray and Genomics—Contributed

Biopharmaceutical Section

Chair(s): Shiowjen Lee, FDA

8:35 a.m.

A Rank Approach to Identify Outlier Tissue—

Dung-Tsa Chen, Moffitt Cancer Center & Research

Institute

; Lin-An Chen, National Chiao-Tung

University

8:50 a.m. A Cluster Binomial Model for Resistance-Mutations

Detectable in Clonal Sequencing Analysis—

Jianliang Zhang, MedImmune, LLC

9:05 a.m. Deforestation of a Random Forest—◆Matthew

Mitchell, Metabolon, Inc.

9:20 a.m. Determination of Sample Size for Validation Study in Pharmacogenomics—◆Youlan Rao, The Ohio

State University

; Yoonkyung Lee, The Ohio State

University

; Jason Hsu, The Ohio State University

9:35 a.m. Robust Test for Time-Course Microarray Data—

Insuk Sohn, Duke University

; Kouros Owzar, Duke

University

; Stephen L. George, Duke University

Medical Center ; Sin-Ho Jung, Duke University

9:50 a.m. Time Course Analysis of Microarray Data for the

Pathway of Reproductive Development in Female

Rainbow Trout—◆Yushi Liu, The Ohio State

University ; Joseph S. Verducci, The Ohio

State University

10:05 a.m. Floor Discussion

10:35 a.m. Nonparametric Regression Estimators in Survey

Sampling—◆Sharon Lohr, Arizona State University;

Guillermo Mendez, American Express

11:00 a.m. Penalized Balanced Sampling: Nonparametric

Guidance for Survey Design—◆Jay Breidt, Colorado

State University

; Guillaume Chauvet, National

Institute for Statistics and Economic Studies

11:25 a.m. Nonparametric Regression and the Two Sample

Problem—◆Alan H. Dorfman, Bureau of

Labor Statistics

11:50 a.m. Disc: Jean Opsomer, Colorado State University

12:10 p.m. Floor Discussion

574 CC-150A n

Statistical Issues and the Second Code of

Life: Epigenomics—Invited

Biometrics Section, Section on Bayesian Statistical Science,

International Indian Statistical Association

Organizer(s): Rebecca W. Doerge, Purdue University; Jaya

Satagopan, Memorial Sloan-Kettering Cancer Center

Chair(s): Rebecca W. Doerge, Purdue University

10:35 a.m.

Epigenetic Natural Variation in Arabidopsis

Thaliana—◆Robert A. Martienssen, Cold Spring

Harbor Laboratory

11:00 a.m. Statistical Issues Surrounding Testing for

Epigenomic Alterations—◆Hongmei Jiang,

Northwestern University

11:25 a.m. Whole Genome DNA Methylation Studies:

Prioritization of Candidate Loci—◆Melissa J.

Fazzari, Albert Einstein College of Medicine

11:50 a.m. Inferring the Past: How Did Your Cancer Grow?—

Kimberly Siegmund, University of Southern

California

; Paul Marjoram, University of Southern

California

; Darryl Shibata, University of

Southern California

12:15 p.m. Floor Discussion

238 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

575 CC-207B n

Who Is Teaching the Statistics Courses?—

Invited

Section on Statistical Education

Organizer(s): Peter Westfall, Texas Tech University

Chair(s): Katherine T. Halvorson, Smith College

577 CC-207A n J

Collaborative and Value-Creating Processes for Statistical Computing: Transforming Data

Evidence Into Successful Policies, Decisions, and Actions—Invited

Section on Statistical Computing, Interface Foundation of

North America

Organizer(s): Arnold Goodman, Collaborative Data Solutions

Chair(s): Necip Doganaksoy, GE Global Research

10:35 a.m. A National Survey on Teaching Practices in

Undergraduate Statistics Instruction—◆Robert delMas, The University of Minnesota ; Joan B.

Garfield, The University of Minnesota

; Andrew

Zieffler, The University of Minnesota

11:00 a.m. An Inventory of (Bio)statistics Courses at an

Academic Health Science Center: Is Duplication

Really Necessary?—◆Adriana Perez, University of

Louisville

; Mourad Atlas, University of Louisville;

Carl A. Hornung, University of Louisville

11:25 a.m.

Who Is Teaching the Statistics Courses?—

Aaron Satterlee, Northwood University

11:50 a.m. Duplication in Graduate-Level Courses in

Statistics—◆Peter Westfall, Texas Tech University

12:15 p.m. Floor Discussion

10:35 a.m.

Collaborative and Value-Creating Processes for Statistical Computing—◆Arnold Goodman,

Collaborative Data Solutions

10:55 a.m. Model Misspecification versus Problem

Misspecification—◆David J. Hand, Imperial College

11:15 a.m. An Essential Aspect of the Climb from Competition to Collaboration: The Relationships Among the

Climbers—◆Doug Zahn, Zahn and Associates

11:35 a.m.

The Evolving Role of Statistics in Business and

Industry—◆Necip Doganaksoy, GE Global Research;

Gerald Hahn, GE Corporate Research and

Development Center, Retired

11:55 a.m. Disc: Janet Myhre, Claremont McKenna College

12:15 p.m.

Floor Discussion

576 CC-150B n

Extending the Marginal Structural Model—

Invited

Section on Statistics in Epidemiology

Organizer(s): Stephen R. Cole, The University of North Carolina at

Chapel Hill

Chair(s): Stephen R. Cole, The University of North Carolina at

Chapel Hill

578 n J

Measuring Financial and Real Sector

Linkages—Invited

CC-155

Business and Economic Statistics Section

Organizer(s): Kim Zieschang, International Monetary Fund

Chair(s): Kim Zieschang, International Monetary Fund

10:35 a.m.

Survival Analysis with Dynamic Marginal Structural

Models—◆Miguel A. Hernan, Harvard School of

Public Health

11:00 a.m. Estimation of Dynamic Treatment Regimes and Extrapolation to Populations with Distinct

Monitoring Structures: The Use of Laboratory

Monitoring to Detect HIV Treatment Failure—

Maya L. Petersen, University of California, Berkeley

11:25 a.m. Extending Marginal Structural Models to Surrogate

Outcomes—◆Marshall Joffe, University of

Pennsylvania

11:50 a.m. Disc: James Robins, Harvard School of Public Health

12:10 p.m. Floor Discussion

10:35 a.m.

The End of the Great Moderation? How Better

Monetary Statistics Could Have Signaled the

Systemic Risk Precipitating the Financial Crisis—

William A. Barnett, The University of Kansas

;

Marcelle Chauvet, University of California, Riverside

11:05 a.m. Computing Real Bank Services—◆Dennis Fixler,

Bureau of Economic Analysis

; Marshall B. Reinsdorf,

Bureau of Economic Analysis

11:35 a.m. Measurement Error in Monetary Aggregates: A

Markov Switching Factor Approach—William

A. Barnett, The University of Kansas

; ◆Marcelle

Chauvet, University of California, Riverside ;

Tierney Heather, College of Charleston

12:05 p.m. Floor Discussion

Washington, DC 239

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

579 CC-102A n J

Using National Center for Health Statistics

Data to Study Access to Health Care—Invited

Section on Health Policy Statistics, Section on Survey

Research Methods, Social Statistics Section, Section on

Government Statistics

Organizer(s): Jane F. Gentleman, National Center for

Health Statistics

Chair(s): Jane F. Gentleman, National Center for Health Statistics

581 CC-143C n J

Case Studies in the Area of Dynamic

Treatment Regimes—Invited

ENAR, Biometrics Section, Biopharmaceutical Section

Organizer(s): Qi Long, Emory University

Chair(s): Brent Johnson, Emory University

10:35 a.m.

Using the National Health Interview Survey to

Monitor Health Insurance and Access to Care—

Robin A. Cohen, National Center for

Health Statistics

10:55 a.m. Access to Care and Objective Measures of Health:

Results from the National Health and Nutrition

Examination Survey (NHANES)—◆Vicki L. Burt,

National Center for Health Statistics

; Lester R.

Curtin, CDC

; Clifford Johnson, National Center for

Health Statistics ; Cindy Zhang, Harris Associates

11:15 a.m.

Health care access data for children and adolescents from the National Survey of Children with Special Health Care Needs and the National

Survey of Children’s Health—◆Rosa Avila, National

Center for Health Statistics

11:35 a.m. Using the National Health Care Surveys to

Monitor Use and Access to Health Care—◆Nancy

Sonnenfeld, National Center for Health Statistics

;

Sandra L. Decker, National Center for

Health Statistics

11:55 a.m. Disc: Diane M. Makuc, National Center for

Health Statistics

12:15 a.m. Floor Discussion

10:35 a.m. Structural Nested Mean Modeling of Response-

Maximized Breastfeeding Strategies—Erica E.M.

Moodie, McGill University ; ◆Susan Shortreed,

McGill University

11:00 a.m. Targeted Maximum Likelihood Estimation of

Individualized Treatment Rule Effects—◆Kelly

Moore, University of California, Berkeley

; Mark J. van der Laan, University of California, Berkeley

; Ira

Tager, University of California, Berkeley

; Romain

Neugebauer, University of California, Berkeley

11:25 a.m.

Dynamic Treatment Regimes in Leukemia

Treatment—◆Abdus S. Wahed, University of Pittsburgh

11:50 a.m.

Disc: Andrea Rotnitzky, Universidad Di Tella and

Harvard University

12:10 p.m. Floor Discussion

582

Bayesian Methods—Invited

IMS, Section on Bayesian Statistical Science

Organizer(s): Mario Peruggia, The Ohio State University

Chair(s): Mario Peruggia, The Ohio State University

CC-202B

580 CC-201

Best of Statistics Surveys: The Open Access

Journal for Review Articles—Invited

ASA Special Interest Group on Statistical Learning and Data

Mining, International Indian Statistical Association

Organizer(s): Wendy Martinez, U.S. Department of Defense

Chair(s): Jon A. Wellner, University of Washington

10:35 a.m.

Aggregation Modeling—◆Steven N. MacEachern,

The Ohio State University

; Zhen Wang, The Ohio

State University

11:05 a.m. A Clusterwise Approach for Heterogeneous

Variable Selection—◆Feng Liang, University of

Illinois at Urbana-Champaign

11:35 a.m. Nonlocal Prior Densities for Default Bayesian

Hypothesis Tests—◆Valen E. Johnson, The

University of Texas M.D. Anderson Cancer Center

;

David Rossell, IRB Barcelona

12:05 p.m. Floor Discussion

10:35 a.m.

Navigating Random Forests and Related

Algorithms—◆David S. Siroky, Duke University

11:00 a.m. Text Data Mining: Theory and Methods—◆Jeffrey L.

Solka, Naval Surface Warfare Center

11:25 a.m. Least Angle and L1 Penalized Regression: A

Review—◆Tim Hesterberg, Google, Inc.; Nam Hee

Choi, University of Michigan ; Lukas Meier, ETH;

Chris Fraley, Insilicos

11:50 a.m. Disc: Edward J. Wegman, George Mason University

12:10 p.m. Floor Discussion

583

Wald Lecture III—Invited

IMS

CC-202A

Organizer(s): Michael Kosorok, The University of North Carolina at

Chapel Hill

Chair(s): Peihua Qiu, The University of Minnesota

10:35 a.m. Predictive Learning via Rule Ensembles—

Jerome H. Friedman, Stanford University

12:00 p.m. Floor Discussion

240 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Invited Panels 10:30 a.m.–12:20 p.m.

584 n J

The Federal Statistical System:

Opportunities and Challenges for the

Next 5–10 Years—Invited

CC-101

The National Academies, Section on Survey Research Methods,

Social Statistics Section, Section on Government Statistics

Organizer(s): Constance F. Citro, The National Academies

Chair(s): William F. Eddy, Carnegie Mellon University

Panelists:

Cynthia Clark, National Agriculture

Statistics Service

Hermann Habermann, Consultant

Nancy Kirkendall, Consultant

Katherine Wallman, Office of Management and Budget

12:15 p.m. Floor Discussion

Topic-Contributed Sessions

10:30 a.m.–12:20 p.m.

586 CC-142

Recent Advances in Statistical Inference Using

Order Statistics—Topic-Contributed

International Chinese Statistical Association

Organizer(s): Gang Zheng, National Heart, Lung, and Blood Institute

Chair(s): Reza Modarres, The George Washington University

10:35 a.m. Pitman Closeness of Estimators and Predictors for Exponential Distribution—◆Katherine

Davies, University of Manitoba ; Narayanaswamy

Balakrishnan, McMaster University

; Jerome P.

Keating, The University of Texas at San Antonio

10:55 a.m. Statistical Analysis of Adaptive Progressively

Censored Data—◆Hon Keung (Tony) Ng, Southern

Methodist University

; Debasis Kundu, Indian

Institute of Technology Kanpur

; Ping Shing Chan,

Chinese University of Hong Kong

11:15 a.m.

Parametic Inference in Ranked Set Sampling Based on a Missing Data Model—◆Omer Ozturk, The Ohio

State University

11:35 a.m.

A Multivariate Wilcoxon Rank Sum Test Based on the Triangle Data Depth—◆Zhenyu Liu, The George

Washington University

11:55 a.m.

A Very Flexible Hybrid Censoring Scheme and

Its Fisher Information—◆Sangun Park, Yonsei

University

; Narayanaswamy Balakrishnan,

McMaster University

12:15 p.m. Floor Discussion

585 CC-143A n J

The Guatemalan Police Archive Project:

Sample Design, Weighting, and Analysis—

Topic-Contributed

Social Statistics Section, Section on Government Statistics,

Section on Survey Research Methods

Organizer(s): Paul Zador, Westat, Inc.

Chair(s): Paul Zador, Westat, Inc.

587 CC-149B

Methods, Computing, and Application of

Copulas—Topic-Contributed

Business and Economic Statistics Section, SSC

Organizer(s): Jun Yan, University of Connecticut

Chair(s): Jun Yan, University of Connecticut

10:35 a.m.

Studying Millions of Rescued Documents: Sampling

Plan at the Guatemalan National Police Archive

(GNPA)—◆Daniel R. Guzmán, Benetech; Tamy

Guberek, Benetech

; Gary M. Shapiro, Westat, Inc.;

Paul Zador, Westat, Inc.

10:55 a.m.

Weighting for the Guatemalan National Police

Archive Sample: Unusual Challenges and

Problems—◆Gary M. Shapiro, Westat, Inc.;

Daniel Guzman, Benetech

; Paul Zador, Westat, Inc.;

Tamy Guberek, Benetech

11:15 a.m. Analyzing Command and Control of the

Guatemalan National Police Leadership Over

Human Rights Violations: A Statistical Analysis of the National Police Archive—◆Megan Price,

Benetech

; Daniel Guzman, Benetech; Paul Zador,

Westat, Inc.

; Gary M. Shapiro, Westat, Inc.; Tamy

Guberek, Benetech

11:35 a.m.

Disc: Patrick Ball, The Benetech Initiative

11:55 a.m. Disc: Hyunshik Lee, Westat, Inc.

12:15 p.m. Floor Discussion

10:35 a.m. Properties and Uses of the Empirical Copula

Process—◆Christian Genest, Université Laval

10:55 a.m. Copula-Based Tests of Independence Among

Continuous Random Vectors—◆Ivan Kojadinovic,

The University of Auckland

11:15 a.m. Archimedean Copulas and Beyond—◆Johanna

Neslehova, ETH Zurich

11:35 a.m. Local Power Analyses of Goodness-of-Fit Tests for

Copulas—◆Jean-Francois Quessy, Universite du

Quebec a Trois-Rivieres

11:55 a.m. Hierarchical Insurance Claims Modeling—

Emiliano A. Valdez, University of Connecticut

;

Edward W. Frees, University of Wisconsin-Madison

12:15 p.m. Floor Discussion

Washington, DC 241

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

588 CC-204A

J

Data User Experience: Working with Data

Protected by Synthetic Methods: Moving from

Theory to Practice: Synthetic Data in the Public

Domain—Topic-Contributed

Section on Government Statistics, Section on Survey

Research Methods

Organizer(s): J. Neil Russell, National Center for Education Statistics

Chair(s): J. Neil Russell, National Center for Education Statistics

11:35 a.m. Developing an Independent Research Program on a

Limited Budget and with Limited Time: Some Ideas for Biostatisticians—◆Justine Shults, University of Pennsylvania

; Richard F. Ittenbach, Cincinnati

Children’s Hospital Medical Center

; Todd G. Nick,

Cincinnati Children’s Hospital Medical Center

11:55 a.m. Disc: Sarah Ratcliffe, University of Pennsylvania

12:15 p.m. Floor Discussion

10:35 a.m.

Partial Synthesis of the Longitudinal

Employer-Household Dynamics Database—

Simon Woodcock, Simon Fraser University

;

Gary Benedetto, U.S. Census Bureau

10:55 a.m.

The Synthetic Public-Use Release of the

Longitudinal Business Database—◆Satkartar

Kinney, National Institute of Statistical Sciences

;

Jerome Reiter, Duke University

; Ron Jarmin, U.S.

Census Bureau ; Arnold Reznek, U.S. Census Bureau;

Javier Miranda, U.S. Census Bureau

; John M. Abowd,

Cornell University

11:15 a.m.

Generating Multiply Imputed Synthetic Data Sets for a German Establishment Survey: The Agency’s

Perspective—◆Joerg Drechsler, Institute for

Employment Research

11:35 a.m. Improving the Usefulness of Synthetic Data: Some

Recent Advances—◆Jerome Reiter, Duke University

11:55 a.m. Disc: Jack Buckley, New York University

12:15 p.m.

Floor Discussion

589 n

Statistical Consulting with Limited

Resources—Topic-Contributed

Section on Statistical Consulting

CC-159A

Organizer(s): Richard F. Ittenbach, Cincinnati Children’s Hospital

Medical Center

Chair(s): Mi-Ok Kim, Cincinnati Children’s Hospital Medical Center

10:35 a.m. Scale Development on a Limited Budget:

Guidelines for Statisticians—◆Richard F.

Ittenbach, Cincinnati Children’s Hospital Medical

Center

; Amy E. Cassedy, Cincinnati Children’s

Hospital Medical Center ; Todd G. Nick, Cincinnati

Children’s Hospital Medical Center

; Justine Shults,

University of Pennsylvania

10:55 a.m. Creative Problem Solving in Statistical Consulting with Limited Time and a Limited Budget—◆Mark

Glickman, Boston University School of Public Health

11:15 a.m. Grant Proposal Development Assistance on a

Limited Budget: Guidelines for Statisticians—

Todd G. Nick, Cincinnati Children’s Hospital

Medical Center

; Ralph G. O’Brien, Case Western

Reserve University

590 n J

Statistics at West Point: No Lies—

Topic-Contributed

Section on Statistics in Defense and National Security

CC-206

Organizer(s): Adam Wright, U.S. Military Academy at West Point

Chair(s): Howard Burkom, Johns Hopkins applied

Physics Laboratory

10:35 a.m.

Periodic Spatio-Temporal Improvised Explosive

Device Attack Pattern Analysis—◆Matthew Benigni,

U.S. Military Academy ; Reinhard Furrer, Colorado

School of Mines

10:55 a.m. Using Variable Screening and Logistic Regression to Determine the Impact of Friendly Activity on

Improvised Explosive Device Incidents—◆Darryl

Ahner, U.S. Military Academy

11:15 a.m. Epidemiological Studies in the Military—◆Rodney

Sturdivant, U.S. Military Academy ; Robert Burks,

U.S. Military Academy

; Brett Owens, William

Beaumont Army Medical Center

; Jennifer Wolf,

University of Colorado Denver

; Ken Cameron,

Keller Army Hospital

11:35 a.m. Analysis of Refractive Surgery Data from a Young and Extremely Healthy Population—◆Vaughn

DeLong, U.S. Military Academy ; Scott T. Nestler, U.S.

Military Academy at West Point ; Chris Grauel, U.S.

Military Academy

11:55 a.m. Small Arms Effective Life Studies—◆Matthew

Benigni, U.S. Military Academy ; Scott T. Nestler, U.S.

Military Academy at West Point

; Dana Gingrich, U.S.

Military Academy

; Gary Kramlich, U.S. Army

12:15 p.m. Floor Discussion

591

Biopharmaceutical Section, Section on Bayesian

Statistical Science

Organizer(s): Tie-Hua Ng, FDA

Chair(s): Henry Hsu, FDA

CC-144C n

Bayesian Approaches in Clinical Trials:

Regulatory Perspectives—Topic-Contributed

10:35 a.m.

Safety Evaluation of Factor VIII Products: Bayesian

Approaches—◆Ghanshyam Gupta, FDA

242 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

10:55 a.m. Bayesian Approaches: Basic Concepts—

Tie-Hua Ng, FDA

11:15 a.m. Bayesian Analyses of Binary Outcomes—

Chunrong Cheng, FDA

; Tie-Hua Ng, FDA

11:35 a.m. Bayesian Methods in Lot Release—◆Yunling Xu,

FDA

; Boguang Zhen, FDA

11:55 a.m. Bayesian vs. Frequentist Hypotheses Testing in

Clinical Trials with Dichotomous and Countable

Outcomes—◆Boris G. Zaslavsky, FDA

12:15 p.m. Floor Discussion

10:55 a.m.

Understanding the Size of p-Values—◆Scotland

Leman, Virginia Polytechnic Institute and

State University

11:15 a.m. Multi-Scale Spatial Inference of Pollutant

Concentrations—◆Dawn Woodard, Cornell

University

11:35 a.m. What Scientists Really Want to Know—◆Eric Vance,

Virginia Polytechnic Institute and State University ;

Scotland Leman, Virginia Polytechnic Institute and

State University

; Leanna House, Virginia Polytechnic

Institute and State University

11:55 a.m. Inverse Bayes—◆Golde I. Holtzman, Virginia

Polytechnic Institute and State University

12:15 p.m. Floor Discussion 592 CC-144B

Statistical Topics in the Study of Medical

Devices—Topic-Contributed

Biopharmaceutical Section

Organizer(s): Heng Li, FDA

Chair(s): Heng Li, FDA

10:35 a.m. A Unified Approach in Data Analysis After Sample

Size Is Increased in Adaptive Design Trial—

Yonghong Gao, FDA

10:55 a.m. Analysis of Gender Differences in a Medical

Device Trial That Was Not Constructed for Gender

Comparisons—◆David C. Naftel, The University of Alabama at Birmingham ; Margaret T. Foushee,

The University of Alabama at Birmingham

; Susan L.

Myers, The University of Alabama at Birmingham

11:15 a.m. Comparing Statistical Approaches in Analysis of Clinical Trial Data with Patient Crossover—

Tailiang Xie, Brightech International

11:35 a.m.

Demonstrating Treatment Effect Using a Bootstrap

Simulation—◆Xiaolong Shih, Boston Scientific

Corporation

11:55 a.m.

Some Comments and Recommendations on Interim

Data Review of Data from Medical Device Studies—

Dennis W. King, STATKING Consulting, Inc.

12:15 p.m.

Floor Discussion

593 CC-204B n J

Bayesian Philosophies and Practicalities—

Topic-Contributed

Section on Bayesian Statistical Science

Organizer(s): Scotland Leman, Virginia Polytechnic Institute and

State University

Chair(s): Gavino Puggioni, The University of North Carolina at

Chapel Hill

594 n J

Modern Statistical Approaches to

Phylogenetics—Topic-Contributed

Section on Bayesian Statistical Science

CC-204C

Organizer(s): Jennifer Tom, University of California, Los Angeles

Chair(s): Marc A. Suchard, University of California, Los Angeles

10:35 a.m. Bayesian Hierarchical Modeling Using an Iterative

Reweighting Algorithm Within Gibbs: An Analysis of Individual Posterior Distributions of Phylogenetic

Influenza Data—◆Jennifer Tom, University of

California, Los Angeles

10:55 a.m. Modeling Indel Hot Spots When Inferring

Alignments—◆Benjamin D. Redelings, North

Carolina State University

11:15 a.m. Bayesian Estimation of Parameters Along a

Species Phylogeny Subject to Hybridization and

Coalescence—◆Chen Meng, Monsanto Company

11:35 a.m. Phyloclustering: New Phylogenetic Methods for

Inferring Population Structure—◆Karin S. Dorman,

Iowa State University ; Ranjan Maitra, Iowa State

University

; Wei-Chen Chen, Iowa State University

11:55 a.m. Assessing Selective Influence of Amino Acid

Properties—◆Saheli Datta, University of California,

Santa Cruz

; Raquel Prado, University of California,

Santa Cruz

; Abel Rodriguez, University of California,

Santa Cruz

12:15 p.m.

Floor Discussion

10:35 a.m. An Application of Reification for a Rainfall-Runoff

Computer Model—◆Leanna House, Virginia

Polytechnic Institute and State University

; Ian

Vernon, University of Durham

; Allan Seheult,

University of Durham

Washington, DC 243

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

595 CC-203A

Inference in Nonstandard Problems—Topic-

Contributed

Section on Nonparametric Statistics

Organizer(s): Bodhisattva Sen, Columbia University

Chair(s): Bodhisattva Sen, Columbia University

10:35 a.m. A Two-Stage Hybrid Procedure for Estimating an Inverse Regression Function—◆Runlong

Tang, University of Michigan ; Moulinath Banerjee,

University of Michigan

; George Michailidis,

University of Michigan

10:55 a.m. Bootstrapping Lasso Estimators—◆Arindam

Chatterjee, Texas A&M University

11:15 a.m. Inference in Nonparametric Shape-Restricted

Problems—◆Emilio Seijo, Columbia University

11:35 a.m.

General Semiparametric Inference via Bootstrap

Sampling—◆Guang Cheng, Purdue University

11:55 a.m.

Disc: Bikramjit Das, Cornell University

12:15 p.m. Floor Discussion

Topic-Contributed Panels

10:30 a.m.–12:20 p.m.

597 CC-149A n

What Can I Do with an Undergraduate Degree in Statistics?—Topic-Contributed

ASA-MAA Joint Committee on Undergraduate Statistics,

Section on Statistics in Defense and National Security,

Social Statistics Section

Organizer(s): Robin H. Lock, St. Lawrence University

Chair(s): Robin H. Lock, St. Lawrence University

Panelists:

Carol J. Blumberg, U.S. Department of Energy

Deanna Egelston, National Security Agency

Brian Bot, Mayo Clinic

12:15 p.m. Floor Discussion

Contributed Sessions

10:30 a.m.–12:20 p.m.

596 CC-141 n J

Overview of Methods to Improve Quality in

Petroleum Data—Topic-Contributed

Section on Survey Research Methods

Organizer(s): Paula Mason, Energy Information Administration

Chair(s): James Knaub, Energy Information Administration

598 CC-158A

Topics in Quality and Productivity—Contributed

Section on Quality and Productivity

Chair(s): William F. Guthrie, National Institute of Standards and Technology

10:35 a.m.

The Changing Petroleum Marketing Industry as

Viewed Through an Attribute Frame—◆Amerine

Woodyard, Energy Information Administration

;

Paula Mason, Energy Information Administration

10:55 a.m. Improvement of Data Quality Assurance in the

EIA Weekly Gasoline Prices Survey—◆Bin Zhang,

Energy Information Administration ; Paula Mason,

Energy Information Administration ; Amerine

Woodyard, Energy Information Administration

;

Benita O’Colmain, ICF Macro

11:15 a.m. Improving the Edits in Petroleum Supply Surveys—

Jason D. Marley, SAIC

; Paula Mason, Energy

Information Administration

; Julie Harris, Energy

Information Administration

11:35 a.m. An Improved Imputation Methodology Derived

Through Regression Trees—◆Pedro J. Saavedra,

ICF Macro

; Paula Mason, Energy Information

Administration ; Benita O’Colmain, ICF Macro;

Jeffrey Foarde, ICF Macro

11:55 a.m. Disc: Paula Mason, Energy Information

Administration

12:15 p.m. Floor Discussion

10:35 a.m. Virtual Prototyping in Marketing Research—

Norbert Wirth, MarketTools ; Frank Hedler,

MarketTools

; Dimitri Liakhovitski, MarketTools

10:50 a.m. Estimating Tradeoff Exchange Rate in Conjoint

Analysis: An Application of Fieller’s Theorem—

Pallavi Chitturi, Temple University

; Ravi Chitturi,

Lehigh University

; Damaraju Raghavarao, Temple

University

11:05 a.m. Nonparametric Estimation in Ranked Set Sampling with a Concomitant—◆Nader M. Gemayel, The

Ohio State University

; Doug Wolfe, The Ohio

State University ; Elizabeth Stasny, The Ohio

State University

11:20 a.m. Adaptive Break Detection and Combining:

Application to Electricity Load Forecast—

Yannig Goude, EDF

11:35 a.m. Stochastic Production Line Model of Multiple

Workstations and Buffers with Continuous Materials

Flow—◆Mohammad Quasem, Howard University

11:50 a.m. Developing a Sampling Plan Based on Cpk—◆Itay

Negrin, Ben Gurion University of the Negev ; Yisrael

Parmet, Ben Gurion University of the Negev ; Edna

Schechtman, Ben Gurion University of the Negev

244 JSM 2009

GENERAL PROGRAM SCHEDULE

J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

12:05 p.m.

599

How to Be the Most Popular Statistician in Your

Company: Affordable Quality Approaches to

Guarantee Project Director and Client Satisfaction—

Larry N. Campbell, RTI International

Albright, RTI International n

Issues Related to Surrogate Endpoints,

Biomarkers, and Survival Analysis—Contributed

Biopharmaceutical Section

Chair(s): B. Christine Clark, ReSearch Pharmaceutical Services, Inc.

10:35 a.m. Adjustment for the Measurement Error in Evaluating

Biomarkers—◆Wen Li, Iowa State University;

Yongming Qu, Eli Lilly and Company

10:50 a.m. Efficiency Impact of Proportional Hazards

Assumption Violation—◆Amarjot Kaur, Merck &

Co., Inc.

; Yabing Mai, FDA

11:05 a.m. Effect of Predictive Performance of a Biomarker for the Sample Size of Targeted Clinical Trials—

Xiwu Lin, GlaxoSmithKline

; Daniel Parks,

GlaxoSmithKline

; Kwan R. Lee, GlaxoSmithKline

11:20 a.m. An Assessment of Several Trial-Level Surrogacy

Measures in the Meta-Analytical Framework of

Evaluating Surrogate Endpoints in Clinical Trials—

Qian Shi, Mayo Clinic ; Daniel Sargent, Mayo Clinic

11:35 a.m. Comparison of Vaccine Effects of LAIV and TIV on Pneumonia and Influenza-Related Medical

Encounters—◆Jean A. Roayaei, National Institutes of Health

11:50 a.m. Statistical Application of Survival Analysis to Clinical

Trials of Antiepileptic Drugs—◆Baldeo K. Taneja,

Supernus Pharmaceuticals, Inc.

12:05 p.m. Floor Discussion

600 n

Mixed Effects Models in Modern

Epidemiologic Studies—Contributed

Section on Statistics in Epidemiology

; Victoria

CC-144A

CC-159B</