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Activity Number:
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139
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 7, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #305745 |
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Title:
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Sample Size for FDR-Control in Microarray Data Analysis
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Author(s):
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Sin-Ho Jung*+
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Companies:
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Duke University
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Address:
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Hock Plaza, Suite 802, Durham, NC, 27705,
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Keywords:
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block compound symmetry ; family-wise ; prognostic gene ; true rejection ; two-sample t-test
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Abstract:
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We consider identifying differentially expressing genes between two patient groups using a microarray experiment. We propose a sample-size calculation method for a specified number of true rejections while controlling the false discovery rate at a desired level. Input parameters for the sample-size calculation include the allocation proportion in each group, the number of genes in each array, the number of differentially expressing genes, and the effect sizes among the differentially expressing genes. We have a closed-form sample size formula if the projected effect sizes are equal among differentially expressing genes. Otherwise, our method requires a numerical method to solve an equation. Simulation studies are conducted to show that the calculated sample sizes are accurate in practical settings. The proposed method is demonstrated with a real study.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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