Multiplicity- and dependency-adjusted p-values for control of the family-wise error rate
Arcadi Navarro and
Daniel Schunk ()
Statistics & Probability Letters, 2016, vol. 111, issue C, 32-40
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)
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Working Paper: Multiplicity-and dependency-adjusted p-values for control of the family-wise error rate (2015)
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