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Activity Number:
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193
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Type:
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Contributed
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Date/Time:
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Monday, August 8, 2005 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #303638 |
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Title:
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Adaptive Control and Significance Threshold: Extension of False Discovery Rate Control
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Author(s):
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Cheng Cheng*+ and Stanley Pounds
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Companies:
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St. Jude Children's Research Hospital and St. Jude Children's Research Hospital
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Address:
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332 N Lauderdale Street, Memphis, TN, 38105, United States
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Keywords:
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multiple tests ; significance threshold ; profile information criterion ; total error loss function ; false discovery rate ; microarray
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Abstract:
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The control of False Discovery Rate (FDR) is now an accepted approach to determine a significance threshold (P value cut off) for large-scale multiple tests. Although control of the level false positives is important, in exploratory studies such as genome-wide surveys using gene expression or SNP marker arrays to find associations with a given trait, the level of false negatives is often of equal concern because the subsequent bioinformatics and lab investigation of the findings further guard against false positives. This research addresses this by developing two significance threshold criteria alternative to FDR control. Minimization of these criteria provides significance thresholds that balance the two types of errors. Some analytical properties, operating characteristics, advantages, and drawbacks of the proposed methodology will be presented.
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= Applied Session,
= Theme Session,
= Presenter