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Activity Number:
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546
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Type:
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Contributed
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Date/Time:
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Thursday, August 10, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #305715 |
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Title:
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A Two-Step Multiple Comparison Procedure for a Large Number of Tests and Multiple Treatments
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Author(s):
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Hongmei Jiang*+ and Rebecca W. Doerge
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Companies:
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Northwestern University and Purdue University
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Address:
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2006 Sheridan Road, Evanston, IL, 60208,
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Keywords:
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false discovery rate ; multiple comparisons ; testing differential expression
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Abstract:
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For situations where the number of tested hypotheses is increasingly large, the power to detect statistically significant multiple treatment effects decreases. As is the case with microarray technology, researchers often are interested in identifying differentially expressed genes for more than two types of cells or treatments. A two-step procedure is proposed for the purpose of increasing power to detect significant effects (i.e., to identify differentially expressed genes) while controlling the overall false discovery rate (FDR). The procedure is presented for both a fixed rejection region and a prespecified significance level. When compared via simulation, the two-step approach has increased power over a one-step procedure and controls the FDR at a desired significance level.
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