JSM 2011 Online Program

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Abstract Details

Activity Number: 617
Type: Contributed
Date/Time: Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #301987
Title: Performance of FDR-Controlling Procedures Under Dependence
Author(s): Yunda Zhong*+
Companies: The University of Chicago
Address: Department of Statistics, Chicago, IL, 60637,
Keywords: FDR
Abstract:

False discovery approach is a widely used criterion in multiple hypotheses testing. In my talk, I assume that the null hypotheses exhibit a dependence structure that is related to nonlinear factor analysis. Conditioning on the null hypotheses, the p-values are assumed to be independent. My interest is on the asymptotic properties of some prevailing FDR-control procedures, such as BH procedures, under different dependence settings. Some interesting examples are also studied.


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