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Activity Number:
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432
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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| Abstract - #305059 |
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Title:
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Some New Results on the Positive False Discovery Rate
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Author(s):
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Igor Melnykov*+ and John Chen
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Companies:
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Colorado State University and Bowling Green State University
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Address:
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Department of Mathematics & Physics, Pueblo, CO, 81001,
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Keywords:
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microarray data ; positive false discovery rate ; multiple testing
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Abstract:
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The positive false discovery rate (pFDR) is the average proportion of false rejections given that the overall number of rejections is greater than zero. Assuming that the proportion of true null hypotheses, the number of false positives, and the number of true positives all converge pointwise, the pFDR converges to a continuous limit uniformly over all significance levels. We are showing that the uniform convergence still holds given a weaker assumption that the number of true positives converges in L^1.
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