Power analysis for cluster randomized trials with continuous coprimary endpoints-Reference-Cited by-同舟云学术

Power analysis for cluster randomized trials with continuous coprimary endpoints

Published:2022-05-23 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Yang Siyun¹^ORCID,Moerbeek Mirjam²^ORCID,Taljaard Monica³⁴,Li Fan⁵⁶^ORCID

Affiliation:

1. Department of Biostatistics and Bioinformatics Duke University School of Medicine Durham North Carolina

2. Department of Methodology and Statistics Utrecht University Utrecht The Netherlands

3. Clinical Epidemiology Program Ottawa Hospital Research Institute Ottawa Ontario Canada

4. School of Epidemiology and Public Health University of Ottawa Ottawa Ontario Canada

5. Department of Biostatistics Yale School of Public Health New Haven Connecticut

6. Center for Methods in Implementation and Prevention Science Yale University New Haven Connecticut

Funder

Patient-Centered Outcomes Research Institute

National Institute on Aging

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13692

Reference28 articles.

1. Numerical Linear Algebra: Theory and Applications

2. Challenge of multiple co-primary endpoints: a new approach

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

4. Impact of CONSORT extension for cluster randomised trials on quality of reporting and study methodology: review of random sample of 300 trials, 2000-8

5. Method of balanced adjustment in testing co-primary endpoints

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