JSM 2005 Online Program

Abstract #303324

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 - #303324
Title:	Microarray Experimental Design: Power and Sample Size Considerations
Author(s):	James J. Yang*+
Companies:	Henry Ford Health Sciences Center
Address:	47291 Fairlawn Ct, Canton, MI, 48188, United States
Keywords:	: gene expression ; statistical analysis ; functional genomics
Abstract:	Gene expression analysis using high-throughput microarray technology has become a powerful approach to study system biology. The exponential growth in microarray experiments has spawned a number of investigations into the reliability and reproducibility of this type of data. However, the sample size requirements necessary to obtain statistically significant results have not had as much attention. We report here statistical methods for the determination of the sufficient number of subjects to minimize the false discovery rate while maintaining high power to detect differentially expressed genes. Two experimental designs were considered: a comparison between two groups at a single time point and a comparison of two experimental groups with sequential time points. Computer programs are available for the methods discussed in this paper and are adaptable to more complicated situations.

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