JSM 2005 - Toronto

Abstract #302442

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Activity Number: 1
Type: Invited
Date/Time: Sunday, August 7, 2005 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #302442
Title: Bayesian Sequential Design for Case-Control Studies
Author(s): Bhramar Mukherjee*+
Companies: University of Florida
Address: Griffin Floyd Hall, Gainesville, FL, 32611, USA
Keywords:
Abstract:

Case-control study design is a popular tool in studying rare diseases such as cancer. The efficiency of a case-control design depends on the choice of the case: control ratio, which is often arbitrarily chosen and results in a loss of efficacy. In this paper, we study sequential case-control designs where cases occur sequentially over time and propose a simple Bayes stopping rule that leads to the "optimal" sequential case-control design. The proposed stopping rule is developed by using the classical idea of Asymptotically Pointwise Optimal (APO) stopping rules, introduced by Bickel and Yahav (1967, 1968, 1969). Simulation results are presented on finite sample performance of the sequential design. This is joint work with Professor Malay Ghosh at the University of Florida.

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Revised March 2005