The Benjamini-Hochberg Method in the Case of Discrete Test Statistics

Ferreira José A.
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Ferreira José A.: Vrije University Medical Centre, Amsterdam

The International Journal of Biostatistics, 2007, vol. 3, issue 1, 18

Abstract: We present a reformulation of the Benjamini-Hochberg method that is useful in 'large-scale' multiple testing problems based on discrete test statistics and derive its basic asymptotic (as the number of hypotheses tends to infinity) properties, subsuming earlier results. A set of gene expression data is used to illustrate the workings of the method in a multiple testing problem based on Kolmogorov-Smirnov and Mann-Whitney statistics.

Keywords: multiple testing; false discovery rate; average power; non-parametric tests (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (4)

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DOI: 10.2202/1557-4679.1065

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