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

Abstract Details

Activity Number: 28
Type: Contributed
Date/Time: Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #308902
Title: A Modified Approach in Statistical Significance for Genomewide Studies
Author(s): Nusrat Jahan*+ and Pradeep Singh
Companies: James Madison University and Southeast Missouri State University
Address: MSC 1911, 319 Roop Hall, Harrisonburg, VA, 22807,
Keywords: Genomics ; False discovery rate ; Multiple hypothesis testing ; q value ; Jackknife estimator ; Permutation test
Abstract:

Most microarray studies are focused on identifying genes that are differentially expressed between two experimental conditions. One of the well known measures of significance for genome wide studies is the q value based on the false discovery rate. The q value is estimated from a list of p values based on permutation test for equality of means. Permutation test does not control Type I error rate to its nominal value when variances are unequal. Therefore, permutation test can be conservative or liberal. In this study we propose a modified t-test based on jackknife estimator of population variance. The resulting p values are used to estimate q value as given by Storey and Tibshirani (2003). Monte Carlo method is used to show that the estimated q value from the proposed test controls q-value threshold rate better than the q value estimated from permutation test based p values.


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