Impact of unequal cluster sizes for GEE analyses of stepped wedge cluster randomized trials with binary outcomes-Reference-Cited by-同舟云学术

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Impact of unequal cluster sizes for GEE analyses of stepped wedge cluster randomized trials with binary outcomes

Published:2021-10 Issue: Volume: Page:
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Tian Zibo¹,Preisser John S.²^ORCID,Esserman Denise¹³,Turner Elizabeth L.⁴⁵,Rathouz Paul J.⁶,Li Fan¹³⁷^ORCID

Affiliation:

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

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

3. Yale Center for Analytical Sciences New Haven CT USA

4. Department of Biostatistics and Bioinformatics Duke University Durham NC USA

5. Duke Global Health Institute Durham NC USA

6. Department of Population Health The University of Texas at Austin Austin TX USA

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

Funder

National Center for Advancing Translational Sciences

Patient-Centered Outcomes Research Institute

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202100112

Reference48 articles.

1. Stepped wedge cluster randomised trials: a review of the statistical methodology used and available

2. Sample size adjustments for varying cluster sizes in cluster randomized trials with binary outcomes analyzed with second-order PQL mixed logistic regression

3. [Regression Models for Discrete Longitudinal Responses]: Comment

4. Sample size for cluster randomized trials: effect of coefficient of variation of cluster size and analysis method

5. Maintaining the validity of inference in small‐sample stepped wedge cluster randomized trials with binary outcomes when using generalized estimating equations

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1. Robust analysis of stepped wedge trials using composite likelihood models;Statistics in Medicine;2024-06-04

2. Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures;Statistical Methods in Medical Research;2024-05-29

3. Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research;BMC Medical Research Methodology;2024-03-02

4. Information content of stepped wedge designs under the working independence assumption;Journal of Statistical Planning and Inference;2024-03

5. 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

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