Electronic Resource
Berkeley, Calif.
:
Berkeley Electronic Press (now: De Gruyter)
The @international journal of biostatistics
3 (2007), S. 11
ISSN:
1557-4679
Source:
Berkeley Electronic Press Academic Journals
Topics:
Biology
,
Mathematics
,
Medicine
Notes:
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.
Type of Medium:
Electronic Resource
URL:
http://www.bepress.com/ijb/vol3/iss1/11
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