Abstract #301071

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JSM 2003 Abstract #301071
Activity Number: 334
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #301071
Title: Selecting an Optimal Rejection Region for Multiple Testing: A Decision-theoretic Alternative to FDR Control, with an Application to Microarrays
Author(s): David R. Bickel*+
Companies: Medical College of Georgia
Address: Office of Biostatistics & Bioinformatics, Augusta, GA, 30912,
Keywords: false discovery rate ; multiple hypothesis testing ; multiple comparisons ; decision theory ; microarray gene expression ; empirical Bayes
Abstract:

As a measure of error in testing multiple hypotheses, the decisive false discovery rate (dFDR), the ratio of the expected number of false discoveries to the expected total number of discoveries, has advantages over the false discovery rate (FDR) and positive FDR (pFDR). The dFDR can be optimized and often controlled using decision theory, and some previous estimators of the FDR can estimate the dFDR without assuming weak dependence or the randomness of hypothesis truth values.

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