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.

Recommended Citation

Ferreira, José A. (2007) "The Benjamini-Hochberg Method in the Case of Discrete Test Statistics," The International Journal of Biostatistics: Vol. 3 : Iss. 1, Article 11.
Available at: http://www.bepress.com/ijb/vol3/iss1/11