JSM Activity #161

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Activity ID:  161
Title
* Bayesian Analyses of Clinical Safety Data
Date / Time / Room Sponsor Type
08/13/2002
8:30 AM - 10:20 AM
Room: H-Mercury Ballroom 		Biometrics Section*, Biopharmaceutical Section*, ENAR, Section on Bayesian Stat. Sciences*, Section on Health Policy Statistics* Invited
Organizer: Sanjib Basu, Northern Illinois University; Saurabh Mukhopadhyay, Merck & Company, Inc.
Chair: Saurabh Mukhopadhyay, Merck & Company, Inc.
Discussant: 9:50 AM - Scott L. Zeger, Johns Hopkins Bloomberg School of Public Health    
Floor Discussion 10:10 AM
Description

There is a growing interest to explore Bayesian methods in analyzing clinical adverse event data. This session will examine current practice and explore the new directions that Bayesian methods can bring in to this issue.
  300090  By:  Donald A. Berry 8:35 AM 08/13/2002
Hierarchial Modeling of Clinical Safety Data

  301925  By:  William  DuMouchel 9:00 AM 08/13/2002
Drug Adverse Event Surveillance Using the Multiple-Item Gamma Poisson Shrinker (MGPS)

  300092  By:  Donald B. Rubin 9:25 AM 08/13/2002
Bayesian Analysis with Surrogate Outcomes In Experiments: Application To Bridging Human and Macaque Randomized Studies Of Anthrax Vaccine

JSM 2002

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Revised March 2002