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December 2011 Asymptotic optimality of the Westfall–Young permutation procedure for multiple testing under dependence
Nicolai Meinshausen, Marloes H. Maathuis, Peter Bühlmann
Ann. Statist. 39(6): 3369-3391 (December 2011). DOI: 10.1214/11-AOS946

Abstract

Test statistics are often strongly dependent in large-scale multiple testing applications. Most corrections for multiplicity are unduly conservative for correlated test statistics, resulting in a loss of power to detect true positives. We show that the Westfall–Young permutation method has asymptotically optimal power for a broad class of testing problems with a block-dependence and sparsity structure among the tests, when the number of tests tends to infinity.

Citation

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Nicolai Meinshausen. Marloes H. Maathuis. Peter Bühlmann. "Asymptotic optimality of the Westfall–Young permutation procedure for multiple testing under dependence." Ann. Statist. 39 (6) 3369 - 3391, December 2011. https://doi.org/10.1214/11-AOS946

Information

Published: December 2011
First available in Project Euclid: 5 March 2012

zbMATH: 1246.62124
MathSciNet: MR3012412
Digital Object Identifier: 10.1214/11-AOS946

Subjects:
Primary: 62F03 , 62J15

Keywords: asymptotic optimality , familywise error rate , high-dimensional inference , Multiple testing under dependence , permutations , rank-based nonparametric tests , Sparsity , Westfall–Young procedure

Rights: Copyright © 2011 Institute of Mathematical Statistics

Vol.39 • No. 6 • December 2011
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