Abstract #301009

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JSM 2003 Abstract #301009
Activity Number: 57
Type: Contributed
Date/Time: Sunday, August 3, 2003 : 4:00 PM to 5:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #301009
Title: Evaluating Multiple Endpoints Collectively
Author(s): Qian Li*+
Companies: Food and Drug Administration
Address: 10802 Whiterim Dr., Potomac, MD, 20854-1784,
Keywords: clinical trials ; control error strongly ; control error weakly ; multiple endpoints ; Type I error
Abstract:

Often treatment benefit is assessed by multiple endpoints so that a comprehensive picture of efficacy can be obtained. The multiple endpoints can be different medical measurements angled at different aspects of a disease, or a same measurement assessed at multiple time points. How to evaluate multiple endpoints has been an important statistical topic because of its multiplicity nature. I explore an approach with which multiple endpoints can be tested individually, while the p values obtained from the tests are evaluated jointly. This approach is flexible in a sense that decision rules can be developed to control the Type I error either weakly or strongly. Applications in clinical trials will also be discussed.

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Revised March 2003