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Abstract Details
Activity Number:
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32
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Type:
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Contributed
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Date/Time:
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Sunday, July 31, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Computing
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Abstract - #302749 |
Title:
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A New Class of Multiple Testing Procedures
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Author(s):
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Nasrine Bendjilali*+ and Wei-Min Huang
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Companies:
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University of California at San Francisco and Lehigh University
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Address:
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, , ,
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Keywords:
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False Discovery Rate ;
p-value ;
multiple testing procedures
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Abstract:
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This article introduces a class of multiple testing procedures. These procedures incorporate the covariance structure of the data without the need for any distributional assumptions. Simulation studies show gain in power and control of the many type I error rates including the false discovery rate (FDR).
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