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Activity Number:
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337
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #310265 |
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Title:
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Survey of Bayesian Sample Size Calculation
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Author(s):
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Susan Alber*+ and J. Jack Lee
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Companies:
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The University of Texas M.D. Anderson Cancer Center and The University of Texas M.D. Anderson Cancer Center
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Address:
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1515 Holcombe Blvd, Houston, TX, 77030,
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Keywords:
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Bayesian clinical trials ; prior specification ; operating characteristics
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Abstract:
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Sample size calculation is an essential step in designing clinical trials. Under the frequentist's framework, methods for computing sample size are well established and there are many commercial and free software packages for implementing these methods. However under the Bayesian framework there is a lacking in both the theoretical development and software availability for sample size calculation. We survey the literature and compare published methods for Bayesian sample size calculation. We identify the key components and propose a general approach for computing sample size under the Bayesian framework. Methods will be discussed to achieve two goals: 1. a predetermined accuracy for estimation and 2. desirable operating characteristics for hypothesis testing.
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