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Activity Number: 544
Type: Invited
Date/Time: Thursday, August 6, 2009 : 8:30 AM to 10:20 AM
Sponsor: IMS
Abstract - #303533
Title: Bayesian Subgroup Analysis
Author(s): James Berger*+
Companies: Statistical and Applied Mathematical Sciences Institute
Address: P.O. Box 14006, Research Triangle Park, NC, 27709-4006,

Subgroup analysis---analyzing subgroups of individuals from a study to look for " treatment effects" only in the subgroups---raises difficult issues of multiplicity adjustment, since the number of subgroups that can be separately tested can be quite large and the test statistics for different subgroups are typically highly dependent. The Bayesian approach to multiplicity adjustment in general, and hence to subgroup analysis, is to correct for the multiple testing through appropriate choice of the prior probabilities of the models that are implied by the subgroup analysis. Choice of these prior probabilities and methods of implementation of the ensuing Bayesian analysis are discussed.

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