P-Values and Power in Orthopedic Research: Myths and Reality.

J Arthroplasty · Oct 2022 · Review

Zaniletti I, Devick KL, Larson DR, Lewallen DG, Berry DJ, Maradit Kremers H

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota

Adult Reconstruction

SUMMARY — THE REDUCTIONP-values alone without power analysis can mislead study interpretation; confidence intervals and effect sizes provide more meaningful assessment of orthopedic research results.
Abstract, as published

The results of statistical tests in orthopedic studies are typically reported using P-values. If a P-value is smaller than the pre-determined level of significance (eg, < .05), the null hypothesis is rejected in support of the alternative. This automaticity in interpreting statistical results without consideration of the power of the study has been denounced over the years by statisticians, since it can potentially lead to misinterpretation of the study conclusions. In this paper, we review fundamental misconceptions and misinterpretations of P-values and power, along with their connection with confidence intervals, and we provide guidelines to orthopedic researchers for evaluating and reporting study results. We provide real-world orthopedic examples to illustrate the main concepts. Please visit the followinghttps://youtu.be/bdPU4luYmF0for videos that explain the highlights of the paper in practical terms.

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