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功效计算:阶梯楔形整群随机试验中基于广义估计方程的功效计算

power swgee: GEE-based power calculations in stepped wedge cluster randomized trials.

作者信息

Gallis John A, Wang Xueqi, Rathouz Paul J, Preisser John S, Li Fan, Turner Elizabeth L

机构信息

Department of Biostatistics, Duke University, Duke Global Health Institute, Durham, NC.

Department of Population Health, University of Texas at Austin, Dell Medical School, Austin, TX.

出版信息

Stata J. 2022 Dec;22(4):811-841. doi: 10.1177/1536867x221140953. Epub 2023 Jan 5.

Abstract

Stepped wedge cluster randomized trials are increasingly being used to evaluate interventions in medical, public health, educational, and social science contexts. With the longitudinal and crossover nature of a SW-CRT, complex analysis techniques are often needed which makes appropriately powering SW-CRTs challenging. In this paper, we introduce a newly-developed SW-CRT power calculator, embedded within the power command in Stata. The power calculator assumes a marginal model (i.e., generalized estimating equations [GEE]) for the primary analysis of SW-CRTs, for which other currently available SW-CRT power calculators may not be suitable. The program accommodates complete cross-sectional and closed-cohort designs, and includes multilevel correlation structures appropriate for such designs. We discuss the methods and formulae underlying our SW-CRT calculator, and provide illustrative examples of the use of power swgee. We provide suggestions about the choice of parameters in power swgee, and conclude by discussing areas of future research which may improve the program.

摘要

阶梯楔形整群随机试验越来越多地用于评估医学、公共卫生、教育和社会科学领域的干预措施。由于阶梯楔形整群随机试验具有纵向和交叉的性质,通常需要复杂的分析技术,这使得为阶梯楔形整群随机试验进行适当的功效分析具有挑战性。在本文中,我们介绍了一种新开发的阶梯楔形整群随机试验功效计算器,它嵌入在Stata的power命令中。该功效计算器在对阶梯楔形整群随机试验进行主要分析时采用边际模型(即广义估计方程[GEE]),而其他现有的阶梯楔形整群随机试验功效计算器可能并不适用。该程序适用于完全横断面设计和封闭队列设计,并包括适用于此类设计的多级相关结构。我们讨论了阶梯楔形整群随机试验计算器背后的方法和公式,并提供了使用power swgee的示例。我们对power swgee中参数的选择提出了建议,并通过讨论未来可能改进该程序的研究领域来得出结论。

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swCRTdesign: An RPackage for Stepped Wedge Trial Design and Analysis.swCRTdesign:用于阶乘楔形试验设计和分析的 R 包。
Comput Methods Programs Biomed. 2020 Nov;196:105514. doi: 10.1016/j.cmpb.2020.105514. Epub 2020 May 21.

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