JSM 2004 - Toronto

JSM Activity #163

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter
FRY = Fairmont Royal York, ICH = InterContinental Hotel, TCC = Metro Toronto Convention Center
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163 Mon, 8/9/04, 2:00 PM - 3:50 PM TCC-714 B
Repeated Measures and Correlated Data - Contributed - Papers
Biopharmaceutical Section
Chair(s): Aparna Raychaudhuri, Johnson & Johnson Pharmaceutical R&D, LLC
     2:05 PM   Optimal s^n Factorial Design When Observations within Blocks Are Correlated — Venkat Sethuraman, GlaxoSmithKline; Damaraju Raghavarao, Temple University; Bikas K. Sinha, Indian Statistical Institute
     2:20 PM   D-optimum Designs for Dynamic Systems in the Presence of Auto-correlated Errors — Barbara Bogacka, Queen Mary, University of London; Bartosz Kuczewski, University of Zielona Gora; Maciej Patan, University of Zielona Gora
     2:35 PM   Generalized Estimating Equations Analysis of Correlated Multinomial Data Using a New Class of Working Correlation Structures — Fangyi Luo, Procter & Gamble Company; Jorge G. Morel, Procter & Gamble Company
     2:50 PM   Bootstrap Approach for Computing Standard Error of Estimated Coefficients in Proportional Odds Model Applied to Repeated Assessments in Psychiatric Clinical Trials — Qiuhu Shi, New York Medical College; Young Zhu, Janssen Pharmaceutical Products, L.P.; Jianhong Lu, Data Solutions, LLC
     3:05 PM   Influence of Withdrawal Criteria and Treatment Time-response Profiles on Dropout Process in Clinical Trials: A Simulation Approach — Naum M. Khutoryansky, Novo Nordisk Pharmaceuticals, Inc.; Andrew Liu, Novo Nordisk Pharmaceuticals, Inc.
     3:20 PM   A Unifying Approach for Surrogate Marker Validation Based on Prentice's Criteria — Helena M. Geys, Limburgs Universitair Centrum; Ariel Alonso, Limburgs Universitair Centrum; Geert Molenberghs, Limburgs Universitair Centrum
     3:35 PM   Longitudinal Data Analysis--Is "Optimal" Modeling of the Covariance Structure Necessary? — Devan V. Mehrotra, Merck & Co., Inc.; Geert Molenberghs, Limburgs Universitair Centrum; Russell D. Wolfinger, SAS Institute Inc.
 

JSM 2004 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2004