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Multiplicity- and dependency-adjusted p-values for control of the family-wise error rate

Jens Stange, Thorsten Dickhaus, Arcadi Navarro and Daniel Schunk ()

Statistics & Probability Letters, 2016, vol. 111, issue C, 32-40

Abstract: Under the multiple testing framework, we propose the multiplicity- and dependency-adjustment method (MADAM) which transforms test statistics into adjusted p-values for control of the family-wise error rate. For demonstration, we apply the MADAM to data from a genetic association study.

Keywords: Dependency structure; Effective number of tests; Genetic epidemiology; Multiple testing; Probability approximations; Šidák correction (search for similar items in EconPapers)
Date: 2016
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Working Paper: Multiplicity-and dependency-adjusted p-values for control of the family-wise error rate (2015) Downloads
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DOI: 10.1016/j.spl.2016.01.005

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