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The positive false discovery rate: a Bayesian interpretation and the q -value

2003
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Annals of Statistics
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Multiple hypothesis testing is concerned with controlling the rate of false positives when testing several hypotheses simultaneously. One multiple hypothesis testing error measure is the false discovery rate (FDR), which is loosely defined to be the expected proportion of false positives among all significant hypotheses. The FDR is especially appropriate for exploratory analyses in which one is interested in finding several significant results among many tests. In this work, we introduce a

doi:10.1214/aos/1074290335
fatcat:evoafw6gjvbuzk4mjajptuzj2u