Fragility Part I: a guide to understanding statistical power

被引:16
|
作者
Madjarova, Sophia J. [1 ]
Pareek, Ayoosh [1 ]
Eckhardt, Christina M. [2 ]
Khorana, Arjun [1 ]
Kunze, Kyle N. [1 ]
Ollivier, Mattheu [3 ]
Karlsson, Jon [4 ]
Williams, Riley J., III [1 ]
Nwachukwu, Benedict U. [1 ]
机构
[1] Hosp Special Surg, Sports Med & Shoulder Serv, 535 East 70th St, New York, NY 10021 USA
[2] Columbia Univ, Dept Med, Div Pulm Allergy & Crit Care Med, Irving Med Ctr, New York, NY USA
[3] Aix Marseille Univ, Inst Movement & Appareil Locomoteur, Marseille, France
[4] Gothenburg Univ, Sahlgrenska Univ Hosp, Sahlgrenska Acad, Dept Orthopaed, Gothenburg, Sweden
关键词
D O I
10.1007/s00167-022-07188-9
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
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.
引用
收藏
页码:3924 / 3928
页数:5
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