This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 634
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract - #309305
Title: A Nonparametric Approach to Multiple Testing
Author(s): Dr.Nasrine Bendjilali* and Dr.Wei-Min Huang+
Companies: University of California, San Francisco and Lehigh University
Address: , , ,
Keywords: p-value ; False Discovery Rate ; multiple testing procedures

This article introduces a class of multiple testing procedures. These procedures are developed by seeking an approach that is more adaptive to the real configuration of true and false null hypotheses by studying the behaviors of the p-values. Theoretical and simulation results will be presented. The proposed procedures seem to have good control of FDR (the false discovery rate). Preliminary studies also show promising gain in power.

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