Factors affecting power of tests for multiple binary outcomes.

  title={Factors affecting power of tests for multiple binary outcomes.},
  author={Edward J. Mascha and Peter B. Imrey},
  journal={Statistics in medicine},
  volume={29 28},
Frequently in clinical studies a primary outcome is formulated from a vector of binary events. Several methods exist to assess treatment effects on multiple correlated binary outcomes, including comparing groups on the occurrence of at least one among the outcomes ('collapsed composite'), on the count of outcomes observed per subject, on individual outcomes adjusting for multiplicity, or with multivariate tests postulating either common or distinct effects across outcomes. We focus on a 1-df… CONTINUE READING

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Efficiency and power of tests for multiple binary outcomes

  • JM Legler, Myrto Lefkopoulu, M. Ryan Louise
  • Journal of the American Statistical Association
  • 1995
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