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- Title
Fragility Part I: a guide to understanding statistical power.
- Authors
Madjarova, Sophia J.; Pareek, Ayoosh; Eckhardt, Christina M.; Khorana, Arjun; Kunze, Kyle N.; Ollivier, Mattheu; Karlsson, Jón; Williams III, Riley J.; Nwachukwu, Benedict U.
- 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.
- Subjects
STATISTICAL power analysis; REPRODUCIBLE research; SAMPLE size (Statistics)
- Publication
Knee Surgery, Sports Traumatology, Arthroscopy, 2022, Vol 30, Issue 12, p3924
- ISSN
0942-2056
- Publication type
Article
- DOI
10.1007/s00167-022-07188-9