Estimating the false discovery rate using the stochastic approximation algorithm

Testing of multiple hypotheses involves statistics that are strongly dependent in some applications, but most work on this subject is based on the assumption of independence. We propose a new method for estimating the false discovery rate of multiple hypothesis tests, in which the density of test sc...

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Bibliographic Details
Published inBiometrika Vol. 95; no. 4; pp. 961 - 977
Main Authors Liang, Faming, Zhang, Jian
Format Journal Article
LanguageEnglish
Published Oxford University Press for Biometrika Trust 01.12.2008
SeriesBiometrika
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