JSM 2005 Online Program

Abstract #304206

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:	316
Type:	Topic Contributed
Date/Time:	Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor:	ENAR
Abstract - #304206
Title:	Sample Size Determination in High-dimensional Biology and the PowerAtlas
Author(s):	Grier Page*+
Companies:	University of Alabama at Birmingham
Address:	1530 3rd Ave South RPHB 327 zip 0022, Birmingham, AL, 35294, United States
Keywords:	microarray ; power ; website ; error
Abstract:	Genomic scientists often test thousands of hypotheses in a single experiment. One example is a microarray experiment that seeks to determine differential gene expression among experimental groups. Planning such experiments involves a determination of sample size that will allow meaningful interpretations. Traditional power analysis methods may not be well suited to this task when thousands of hypotheses are tested in a discovery-oriented basic research. We introduce the concept of expected discovery rate (EDR) and an approach that combines parametric mixture modeling with parametric bootstrapping to estimate the sample size needed for a desired accuracy of results from a pilot dataset. Often, investigators do not have pilot data of their own. To address this challenge, we developed a Microarray PowerAtlas (www.PowerAtlas.org). This atlas permits estimation of statistical power when pilot data are lacking by allowing investigators to appropriately plan their study by building upon previous studies that have similar experimental characteristics. Currently, there are sample sizes and power estimates based on 595 experiments from Gene Expression Omnibus (GEO).

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