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