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.

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Year of publication:	2007
Authors:	Wong, Man Yu ; Cox, D.R.
Published in:	Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 34.2007, 7, p. 779-783
Publisher:	Taylor & Francis Journals
Subject:	False discovery rate \| mixture of distributions \| Bayes factor \| multiple testing

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005462454