On the Screening of Large Numbers of Significance Tests

Man Yu Wong and D.R. Cox

Journal of Applied Statistics, 2007, vol. 34, issue 7, pages 779-783

Abstract: A brief review is given of procedures for the collective analysis of a large number of significance tests. A simple procedure previously supplied for isolating 'real' effects on the basis of a large number of significance tests is generalized to deal with two-sided tests and is also related more explicitly to the false discovery rate.

Keywords: False discovery rate; mixture of distributions; Bayes factor; multiple testing (search for similar items in EconPapers)

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