Statistical conclusion validity: Multiple inferences in rehabilitation research

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31 Citations (Scopus)

Abstract

The problem of multiple statistical inferences and Type I error rates in rehabilitation research is examined. The Bonferroni method is the most commonly advocated procedure to control Type I error in clinical research. The traditional Bonferroni method is often overly conservative and results in a loss of statistical power when more than a small number of comparisons are evaluated. Adjustments to the Bonferroni method designed to control or reduce the incidence of Type I errors and improve the statistical conclusion validity of rehabilitation research are presented. The adjusted or sharpened Bonferroni methods allow the researcher to control the incidence of Type I errors while maintaining statistical power. Adjustments to the Bonferroni method are simple to compute and applicable to a wide variety of statistical tests. The use of appropriate multiple comparison procedures will reduce the number of Type I errors and improve the statistical conclusion validity of rehabilitation research studies.

Original languageEnglish (US)
Pages (from-to)317-322
Number of pages6
JournalAmerican Journal of Physical Medicine and Rehabilitation
Volume70
Issue number6
StatePublished - 1991
Externally publishedYes

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Keywords

  • Statistical Analysis
  • Type I Error

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Rehabilitation
  • Health Professions(all)
  • Physical Therapy, Sports Therapy and Rehabilitation

Cite this

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