On permutation procedures for strong control in multiple testing with gene expression data

Grzegorz A. Rempala, Yuhong Yang

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We consider two popular, permutation-based, step-down procedures of p-values adjustment in multiple testing problems known as min P and max T and intended for strong control of the family-wise error rate, under the so-called subset pivotality property (SPP). We examine key but subtle issues involved in ascertaining validity of these methods, and also introduce a new, slightly narrower notion of strong control which ensures proper bounds on the family-wise error rate in min P and max T without SPP.

Original languageEnglish (US)
Pages (from-to)79-89
Number of pages11
JournalStatistics and its Interface
Volume6
Issue number1
DOIs
StatePublished - 2013

Keywords

  • Multiple testing
  • Permutation test
  • Step down p-value adjustment methods
  • Strong control of family-wise error rate
  • Subset pivotality property

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