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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 26
Type: Contributed
Date/Time: Sunday, July 29, 2007 : 2:00 PM to 3:50 PM
Sponsor: General Methodology
Abstract - #309716
Title: Small Sample Behavior of Resampling Methods
Author(s): Dongmei Li*+ and Jason C. Hsu
Companies: The Ohio State University and The Ohio State University
Address: Department of Statistics, Columbus, OH, 43210,
Keywords: Small sample behavior ; Re-sampling techniques ; Multiple testing
Abstract:

Re-sampling techniques are popular for analyzing microarray data. In this talk, we discuss the small sample behavior of three popular resampling techniques for multiple testing: permutation, post-pivot re-sampling, and pre-pivot resampling. We will show that when the sample size is small, permutation testing is unlikely to give small P-values; while post-pivot and pre-pivot resampling both might give P-values of zero for the same data, even adjusting for multiplicity. Conditions for the latter phenomenon will be described.

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Revised September, 2007