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Activity Number: 294
Type: Contributed
Date/Time: Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #310034
Title: Bayesian Statistical Power in Randomized Small Clinical Trials
Author(s): Yufeng Li*+ and Shouluan Ding and Seng-jaw Soong
Companies: The University of Alabama at Birmingham and The University of Alabama at Birmingham and The University of Alabama at Birmingham
Address: 1802 6th Avenue south, Birmingham, AL, 35216,
Keywords: Randomized clinical trial ; Bayesian method ; frequentist method; ; Statistical power
Abstract:

Due to the small number of patients affected by some rare diseases, clinical trials studying these diseases are either underpowered because of the difficulty of recruiting adequate numbers of subjects, or the study recruiting period is prolonged, resulting in great expense. An appropriately designed trial is imperative. Currently, however, the methodologies for studying rare infectious diseases are not significantly different from the methodologies for studying other diseases. In this research, we study the Bayesian statistical approach in small randomized clinical trial with comparisons of the statistical power from Bayesian approach with frequentist approach. The results are compared using a simulated data.

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Revised September, 2007