Literature DB >> 31099904

Familywise and per-family error rates of multiple comparison procedures.

John Lawrence1.   

Abstract

In multiple testing scenarios, one of the more popular definitions of the error rate is the familywise error rate (FWER). The per-family error rate (PFER) is often not considered. The PFER deserves more attention than it currently receives. Both of these concepts were formulated by Tukey. We highlight some of the good and bad qualities of the FWER and the PFER. We find the FWER and PFER for four commonly used multiple comparison procedures.
© 2019 John Wiley & Sons, Ltd.

Keywords:  Simes test; closed testing; linear programming; partitioning principle; simultaneous inference

Year:  2019        PMID: 31099904     DOI: 10.1002/sim.8190

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  1 in total

1.  On optimal two-stage testing of multiple mediators.

Authors:  Vera Djordjilović; Jesse Hemerik; Magne Thoresen
Journal:  Biom J       Date:  2022-04-14       Impact factor: 1.715

  1 in total

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