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

来源：

KNEE SURGERY SPORTS TRAUMATOLOGY ARTHROSCOPY | 2022年 / 30卷 / 12期

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

页码：3924 / 3928

页数：5

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