Literature DB >> 36162927

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

Isabella Zaniletti1, Katrina L Devick1, Dirk R Larson2, David G Lewallen3, Daniel J Berry3, Hilal Maradit Kremers2.   

Abstract

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.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  P-value; arthroplasty; orthopedics; power; sample size; significance test

Mesh:

Year:  2022        PMID: 36162927      PMCID: PMC9583694          DOI: 10.1016/j.arth.2022.05.026

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.435


  7 in total

1.  Study Types in Orthopaedics Research: Is My Study Design Appropriate for the Research Question?

Authors:  Isabella Zaniletti; Katrina L Devick; Dirk R Larson; David G Lewallen; Daniel J Berry; Hilal Maradit Kremers
Journal:  J Arthroplasty       Date:  2022-09-06       Impact factor: 4.435

2.  Avoiding Systematic Bias in Orthopedics Research Through Informed Variable Selection: A Discussion of Confounders, Mediators, and Colliders.

Authors:  Katrina L Devick; Isabella Zaniletti; Dirk R Larson; David G Lewallen; Daniel J Berry; Hilal Maradit Kremers
Journal:  J Arthroplasty       Date:  2022-09-06       Impact factor: 4.435

3.  Measurement Error and Misclassification in Orthopedics: When Study Subjects are Categorized in the Wrong Exposure or Outcome Groups.

Authors:  Isabella Zaniletti; Katrina L Devick; Dirk R Larson; David G Lewallen; Daniel J Berry; Hilal Maradit Kremers
Journal:  J Arthroplasty       Date:  2022-09-06       Impact factor: 4.435

4.  The epidemiology of failure in total knee arthroplasty: avoiding your next revision.

Authors:  M Khan; K Osman; G Green; F S Haddad
Journal:  Bone Joint J       Date:  2016-01       Impact factor: 5.082

5.  Prevalence of Total Hip and Knee Replacement in the United States.

Authors:  Hilal Maradit Kremers; Dirk R Larson; Cynthia S Crowson; Walter K Kremers; Raynard E Washington; Claudia A Steiner; William A Jiranek; Daniel J Berry
Journal:  J Bone Joint Surg Am       Date:  2015-09-02       Impact factor: 5.284

6.  The American Statistical Association statement on P-values explained.

Authors:  Lakshmi Narayana Yaddanapudi
Journal:  J Anaesthesiol Clin Pharmacol       Date:  2016 Oct-Dec

7.  Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations.

Authors:  Sander Greenland; Stephen J Senn; Kenneth J Rothman; John B Carlin; Charles Poole; Steven N Goodman; Douglas G Altman
Journal:  Eur J Epidemiol       Date:  2016-05-21       Impact factor: 8.082

  7 in total
  1 in total

1.  Study Types in Orthopaedics Research: Is My Study Design Appropriate for the Research Question?

Authors:  Isabella Zaniletti; Katrina L Devick; Dirk R Larson; David G Lewallen; Daniel J Berry; Hilal Maradit Kremers
Journal:  J Arthroplasty       Date:  2022-09-06       Impact factor: 4.435

  1 in total

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