Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials

Published:2021-12-13 Issue: Volume: Page:
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Wang Xueqi¹²^ORCID,Turner Elizabeth L.¹²^ORCID,Preisser John S.³^ORCID,Li Fan⁴⁵^ORCID

Affiliation:

1. Department of Biostatistics and Bioinformatics Duke University School of Medicine Durham NC USA

2. Duke Global Health Institute Durham NC USA

3. Department of Biostatistics University of North Carolina at Chapel Hill Chapel Hill NC USA

4. Department of Biostatistics Yale University School of Public Health New Haven CT USA

5. Center for Methods in Implementation and Prevention Science Yale University New Haven CT USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202100081

Reference35 articles.

1. Sample size determination for clustered count data;Amatya A.;Statistics in Medicine,2013

2. Consort 2010 statement: Extension to cluster randomised trials;Campbell M. K.;Bmj,2012

3. Design effects for sample size computation in three‐level designs;Cunningham T. D.;Statistical Methods in Medical Research,2016

4. Small‐sample adjustments for Wald‐type tests using sandwich estimators;Fay M. P.;Biometrics,2001

5. Improved standard error estimator for maintaining the validity of inference in cluster randomized trials with a small number of clusters;Ford W. P.;Biometrical Journal,2017

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using Power Analysis to Choose the Unit of Randomization, Outcome, and Approach for Subgroup Analysis for a Multilevel Randomized Controlled Clinical Trial to Reduce Disparities in Cardiovascular Health;Prevention Science;2024-05-20

2. Sample size and power calculation for testing treatment effect heterogeneity in cluster randomized crossover designs;Statistical Methods in Medical Research;2024-05-01

3. CRTFASTGEEPWR: A SAS Macro for Power of Generalized Estimating Equations Analysis of Multi-Period Cluster Randomized Trials with Application to Stepped Wedge Designs;Journal of Statistical Software;2024

4. Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations;Statistics in Medicine;2023-11-27

5. Leveraging baseline covariates to analyze small cluster‐randomized trials with a rare binary outcome;Biometrical Journal;2023-04-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3