Statistical conclusion validity: multiple inferences in rehabilitation research.
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 l...
| Publicado en: | American Journal of Physical Medicine & Rehabilitation Vol. 70; no. 6; pp. 317 - 323 |
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| Autor principal: | |
| Formato: | Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
1991 Dec
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | 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. |
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