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Activity Number: 100
Type: Topic Contributed
Date/Time: Monday, August 3, 2009 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Statistical Science
Abstract - #303673
Title: Robust Bayesian Sample Size Determination for a Binomial Proportion with Application to the Design of Phase II Cancer Clinical Trials
Author(s): Ming Yang*+
Companies: The University of Iowa
Address: , , ,
Keywords: Binomial Proportion ; Bayesian Experimental Design ; Sample Size Determination ; Highest Posterior Density Intervals
Abstract:

Sample size determination (SSD) for a binomial proportion is an important topic in the design of biomedical research. There is a huge literature for this problem, including both frequentist and Bayesian approaches. Although decision theoretic criteria have been developed in the literature, inference-based criteria via hypothesis testing and interval estimation are preferred for practical simplicity. Based on Bayesian highest posterior density (HPD) intervals, we introduce a SSD criterion which is robust to the prior specifications. This robust SSD criterion can be applied to the design of Phase II cancer clinical trials with binary endpoints.

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