Fragility Part I: a guide to understanding statistical power.
editorial · Level V
Where this comes from
- Record sourced from PubMed, PMID 36205762.
- Also identified by DOI 10.1007/s00167-022-07188-9.
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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.
Medical subject headings
- Research Design