JSM Activity #204

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); 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
Hotels: H = Hilton San Francisco, R = Reniassance Parc Hotel 55, N = Nikko San Francisco
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204 Applied Session Theme Session Tue, 8/5/03, 8:30 AM - 10:20 AM H-Continental Ballroom 1
Bayesian Methods in Clinical Trials - Contributed - Papers
Section on Bayesian Stat. Sciences, Biometrics Section, ENAR
Chair(s): James S. Hodges, University of Minnesota
     8:35 AM   Likelihood Methods for Accounting for All-or-Nothing Treatment-Noncompliance and Subsequent Nonresponse in Randomized Trials — Alistair James O'Malley, Harvard University Medical School; Sharon-Lise Normand, Harvard University Medical School
     8:50 AM   Robust Bayesian Randomized Clinical Trials — J Andrés Christen, CIMAT; Peter Mueller, University of Texas M.D. Anderson Cancer Center; J. Kyle Wathen, University of Texas M.D. Anderson Cancer Center
     9:05 AM   Incorporating Pessimistic and Optimistic Priors into the Design of Bayesian Phase II Clinical Trials — Byron Jon Gajewski, University of Kansas; Matthew S. Mayo, Kansas Cancer Institute
     9:20 AM   A New Bayesian Design for Phase I Trials with Two Agents — Kai Wang, University of North Carolina, Chapel Hill; Anastasia Ivanova, University of North Carolina, Chapel Hill
     9:35 AM   Optimal Adaptive Randomized Designs for Clinical Trials — Yi Cheng, Indiana University South Bend; Donald A. Berry, University of Texas
     9:50 AM   Sample Size Estimation: The Bayesian, the Frequentist and the Hybrid — Jeng Mah, Guidant/CPI; George G. Woodworth, University of Iowa
     10:05 AM   Two-Stage Equivalence Design with Bayesian Stopping Rule — Saurabh Mukhopadhyay, Merck Research Laboratories
 

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003