JSM 2005 Online Program

Abstract #303492

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	94
Type:	Topic Contributed
Date/Time:	Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Nonparametric Statistics
Abstract - #303492
Title:	Sample-size Determination for the False Discovery Rate
Author(s):	Stanley Pounds*+ and Cheng Cheng
Companies:	St. Jude Children's Research Hospital and St. Jude Children's Research Hospital
Address:	332 N Lauderdale St, Memphis, TN, 38105, United States
Keywords:	false discovery rate ; sample size ; gene expression ; power ; multiple testing ; microarray
Abstract:	The false discovery rate (FDR) is becoming a widely used measure of statistical significance in multiple testing applications. A simple approximation leads to a general expression relating the FDR to the proportion of tests under the null hypothesis and the arithmetic mean of the powers of tests under the alternative hypothesis. The derived expression suggests an algorithm to determine the sample size required to ensure an acceptably low FDR. This sample-size determination algorithm performs well in traditional simulation studies using computer-generated data and in 'real data simulations' performed by resampling from a large microarray gene expression dataset collected at our institution.

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