Journal
SCANDINAVIAN JOURNAL OF STATISTICS
Volume 34, Issue 2, Pages 275-297Publisher
BLACKWELL PUBLISHING
DOI: 10.1111/j.1467-9469.2006.00530.x
Keywords
dependence; false discovery rate; mixture model; multiple testing; time course DNA microarray
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Controlling the false discovery rate (FDR) is a powerful approach to multiple testing, with procedures developed with applications in many areas. Dependence among the test statistics is a common problem, and many attempts have been made to extend the procedures. In this paper, we show that a certain degree of dependence is allowed among the test statistics, when the number of tests is large, with no need for any correction. We then suggest a way to conservatively estimate the proportion of false nulls, both under dependence and independence, and discuss the advantages of using such estimators when controlling the FDR.
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