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An Adjustment in p-Values for Multiple Endpoint Testing

An Adjustment in p-Values for Multiple Endpoint Testing In preclinical and pilot studies where various measurements are taken in order to gain an idea of the effectiveness or toxicity of an agent, it is important to control the overall Type I error rate when doing hypothesis testing. A review of some of the adjustments presently available in the literature is provided. Two adjustments to control the false–positive rate are proposed when the vector of test statistics is multivariate normal or asymptotically so. An example is used to illustrate the different techniques. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Drug Information Journal Springer Journals

An Adjustment in p-Values for Multiple Endpoint Testing

Drug Information Journal , Volume 27 (3): 9 – Jul 1, 1993

 
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References (12)

Publisher
Springer Journals
Copyright
© 1993 Drug Information Association
ISSN
0092-8615
eISSN
2168-4804
DOI
10.1177/009286159302700312
Publisher site
See Article on Publisher Site

Abstract

In preclinical and pilot studies where various measurements are taken in order to gain an idea of the effectiveness or toxicity of an agent, it is important to control the overall Type I error rate when doing hypothesis testing. A review of some of the adjustments presently available in the literature is provided. Two adjustments to control the false–positive rate are proposed when the vector of test statistics is multivariate normal or asymptotically so. An example is used to illustrate the different techniques.

Journal

Drug Information JournalSpringer Journals

Published: Jul 1, 1993

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