Abstract Details
Activity Number:
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320
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract #311766
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Title:
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On Bayesian Subgroup Analysis Using a Decision-Theoretic Approach
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Author(s):
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Siva Sivaganesan*+ and Yang Xiao and Purushottam Laud and Peter Mueller
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Companies:
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University of Cincinnati and University of Cincinnati and Medical University of Wisconsin and University of Texas at Austin
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Keywords:
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Subgroup analysis ;
variable selection ;
decision theory
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Abstract:
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Subgroup analysis is the comparison of treatment efficacy in a clinical trial among subgroups defined by baseline patient characteristics such as gender and age. We extend an earlier work to a factorial design, and discuss an approach to identify subgroup effects based on a decision theoretic motivation. Frequents operating characteristics of the approach are investigated under various scenarios. We compare our method with a frequentist procedure using a typical adjustment for multiple testing, such as Bonferroni. Finally, we discuss the application to a clinical trial data.
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Authors who are presenting talks have a * after their name.
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