JSM 2005 Online Program

Abstract #303652

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Activity Number:	449
Type:	Contributed
Date/Time:	Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Biopharmaceutical Section
Abstract - #303652
Title:	Comparison of Exact, Approximate, and Bayesian Tests for Testing the Hypothesis of Efficacy
Author(s):	Pralay Mukhopadhyay*+ and Roger Berger and Sujit K. Ghosh
Companies:	Bristol-Myers Squibb Company and Arizona State University and North Carolina State University
Address:	5 Research Parkway, Wallingford, CT, 06492, United States
Keywords:	Exact unconditional test ; Approximate unconditional test ; Bayesian test ; Bayes Factor
Abstract:	Even though exact tests are desirable, it is often hard to implement them in practice because of computational complexities. We compare the performance of two exact unconditional tests with an approximate test and two Bayesian tests for the hypothesis of efficacy. The hypothesis of efficacy is a special case of the ratio of two binomial proportions (relative risk) testing problem and often is used in vaccine studies. For this specific problem, we see the approximate and the Bayesian tests perform well in terms of maintaining Type-I error and resulting in tests with high power. Also, these tests hold a good practical appeal because of the ease with which they can be implemented.

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