JSM 2005 - Toronto

Abstract #304455

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 449
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #304455
Title: Estimation Following Adaptive Design
Author(s): Chengqing Wu*+ and Aiyi Liu and Kai F. Yu and James F. Troendle
Companies: National Institute of Child and Health & Human Development and National Institute of Child and Health & Human Development and National Institute of Child and Health & Human Development and National Institute of Child and Health & Human Development
Address: 6100 Executive BLVD 7B05, Rockville, MD, 20892, United States
Keywords: Adaptive design ; sample size re-estimation ; Whitehead estimator ; Rao-Blackwell estimator ; mean square error
Abstract:

In this paper, we investigate estimation of treatment efficacy after two-stage adaptive design. Based on the density of sufficient statistics, sample mean are shown to be maximum estimators, but biased. Two alternative estimators are proposed. One is bias-adjusted estimator suggested by Whitehead (1986a,b) in group sequential design. The other is unbiased estimator following the Rao-Blackwell approach. Performance of these estimators are evaluated numerically through bias and mean square error (MSE).


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