On the Screening of Large Numbers of Significance Tests
JOURNAL OF APPLIED STATISTICS(2007)
摘要
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.
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关键词
false discovery rate,mixture of distributions,Bayes factor,multiple testing
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