Combining global and marginal tests to compare two treatments on multiple endpoints

Brent R. Logan*, Ajit C Tamhane

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


We consider the problem of comparing two treatments on multiple endpoints where the goal is to identify the endpoints that have treatment effects, while controlling the familywise error rate. Two current approaches for this are (i) applying a global test within a closed testing procedure, and (ii) adjusting individual endpoint p-values for multiplicity. We propose combining the two current methods. We compare the combined method with several competing methods in a simulation study. It is concluded that the combined approach maintains higher power under a variety of treatment effect configurations than the other methods and is thus more power-robust.

Original languageEnglish (US)
Pages (from-to)591-604
Number of pages14
JournalBiometrical Journal
Issue number5
StatePublished - Dec 1 2001


  • Approximate likelihood ratio test
  • Bootstrap
  • Closed test procedure
  • Multiple endpoints
  • O'Brien's test
  • One-sided alternative

ASJC Scopus subject areas

  • Statistics and Probability
  • Medicine(all)
  • Statistics, Probability and Uncertainty


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