JSM Activity #203

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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203 Applied Session Tue, 8/5/03, 8:30 AM - 10:20 AM R-Parc Ballroom III
Longitudinal and Repeated Events Analysis - Contributed - Papers
ENAR, Biopharmaceutical Section
Chair(s): Calvin Lawrence Williams, Clemson University
     8:35 AM   Mixed-Effects Modeling and Simulation of Longitudinal Clinical Trial Data Ratna Ramaswamy, RWJ Pharmaceutical Research Institute
     8:50 AM   Comparison of Analyses for Repeated Binary Data from an Ophthalmic StudyKuolung Hu, Eli Lilly & Company; Vipin Arora, Eli Lilly & Company; David Manner, Eli Lilly & Company
     9:05 AM   A Hybrid Model for Longitudinal Binary Responses Subject to Nonignorable DropoutKenneth J. Wilkins, Harvard School of Public Health; Garrett M. Fitzmaurice, Harvard School of Public Health
     9:20 AM   Modeling Health Trajectories Before and After a Sentinel EventQian-Li Xue, The Johns Hopkins Center on Aging and Health; Karen J. Bandeen-Roche, Johns Hopkins University; Cynthia Boyd, The Johns Hopkins Medical Institutions
     9:35 AM   Indeterminacy in Analysis of Longitudinal Change in the Presence of High MortalityTom Greene, Cleveland Clinic Flundation; Xuelei Wang, University of New Hampshire; Brett Larive, Cleveland Clinic Foundation; Guofen Yan, Case Western Reserve University
     9:50 AM   A Model for Joint Analysis of a Repeated Event Process and Longitudinal OutcomeElizabeth H. Slate, Medical University of South Carolina; Edsel A. Pena, University of South Carolina
     10:05 AM   Missing Data in a Small Longitudinal Study: A Comparison of Monotone, Propensity, or Nonmonotone Multiple Imputation Methods with Complete Case and General Linear Mixed Model AnalysesDawen Sui, University of Texas M.D. Anderson Cancer Center; Rachel T. Fouladi, University of Texas M.D. Anderson Cancer Center
 

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