Covariate-constrained randomization in cluster randomized 2 × 2 factorial trials: application to a diabetes prevention study
CR should be used instead of simple randomization when performing factorial CRTs to avoid highly imbalanced designs and to obtain more precise inferences. Except when there are a small number of clusters, cluster-level covariates should be included in the analysis model to increase power and maintain coverage and type 1 error rates at their nominal levels.
Authors
- Matthew J. O’Brien (ORCID: https://orcid.org/0000-0001-8882-9865)
- Juned Siddique (ORCID: https://orcid.org/0000-0002-1501-4152)
- Zhehui Li
Institutions
- Northwestern University (US)
Publication Details
- Journal
- Trials
- Published
- 2024-09-06
- DOI
- https://doi.org/10.1186/s13063-024-08415-z
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases