On the Screening of Large Numbers of Significance Tests
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: Bayes factor; False discovery rate; mixture of distributions; multiple testing
Document Type: Research Article
Affiliations: 1: Hong Kong University of Science and Technology, Hong Kong, People's Republic of China 2: Nuffield College, Oxford, UK
Publication date: 01 September 2007
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