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

IF 4.3 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2022-12-01 Epub Date: 2023-01-05 DOI:10.1177/1536867x221140953

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

{"title":"power swgee: GEE-based power calculations in stepped wedge cluster randomized trials.","authors":"John A Gallis, Xueqi Wang, Paul J Rathouz, John S Preisser, Fan Li, Elizabeth L Turner","doi":"10.1177/1536867x221140953","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035664/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1177/1536867x221140953","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

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.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

power swgee：基于 GEE 的阶梯楔形分组随机试验功率计算。

在医疗、公共卫生、教育和社会科学领域，阶梯式楔形分组随机试验越来越多地被用于评估干预措施。由于阶梯式楔形集群随机试验具有纵向和交叉的特点，因此往往需要复杂的分析技术，这就给阶梯式楔形集群随机试验的适当加权带来了挑战。在本文中，我们将介绍一种新开发的 SW-CRT 功率计算器，它嵌入在 Stata 的功率命令中。功率计算器假定 SW-CRT 的主要分析采用边际模型（即广义估计方程 [GEE]），而目前可用的其他 SW-CRT 功率计算器可能不适合这种分析。该程序适用于完整的横断面设计和封闭队列设计，并包括适合此类设计的多层次相关结构。我们讨论了 SW-CRT 计算器的基本方法和公式，并提供了使用功率曲线的示例。我们对 power swgee 中参数的选择提出了建议，最后还讨论了未来研究中可能改进该程序的领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊