Abstract #300237

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JSM 2003 Abstract #300237
Activity Number: 204
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Stat. Sciences
Abstract - #300237
Title: Two-Stage Equivalence Design with Bayesian Stopping Rule
Author(s): Saurabh Mukhopadhyay*+
Companies: Merck Research Laboratories
Address: PO Box 2000, Rahway, NJ, 07065-0900,
Keywords: Bayesian Decision Theory ; utility loss function ; equivalence trial ; group sequential design ; stopping rule ; Type-I error rate
Abstract:

A class of two-stage group sequential bioequivalence design is developed here using a Bayesian decision framework. The resulting stopping rule implements user-specified relative utility of declaring equivalence compared to an unsuccessful continuation to stage two. All these scenarios are developed while maintaining the nominal error rate protection. Numerical examples are used to illustrate many practical situations where such decision rules are optimal and can save resources with a negligible impact on overall power. The proposed group sequential bioequivalence design is particularly useful whenever a large variability is anticipated in the observations and/or considerable amount of uncertainty exists about the true state of nature.

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