Fragility Part I: a guide to understanding statistical power
- PMID: 36205762
- DOI: 10.1007/s00167-022-07188-9
Fragility Part I: a guide to understanding statistical power
Abstract
The aim of this paper is to close the knowledge-to-practice gap around statistical power. We demonstrate how four factors affect power: p value, effect size, sample size, and variance. This article further delves into the advantages and disadvantages of a priori versus post hoc power analyses, though we believe only understanding of the former is essential to addressing the present-day issue of reproducibility in research. Upon reading this paper, physician-scientists should have expanded their arsenal of statistical tools and have the necessary context to understand statistical fragility.
© 2022. The Author(s) under exclusive licence to European Society of Sports Traumatology, Knee Surgery, Arthroscopy (ESSKA).
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous
