Inclusion of unexposed clusters improves the precision of fixed effects analysis of stepped-wedge cluster randomized trials with binary and count outcomes
In this article, we demonstrate that the inclusion of unexposed clusters in the fixed effects analysis can lead to the improvements in precision, power, and RMSE of the fixed effects intervention effect estimator for SW-CRTs with binary or count outcomes.
Authors
- Yin Bun Cheung (ORCID: https://orcid.org/0000-0003-0517-7625)
- Kenneth Menglin Lee (ORCID: https://orcid.org/0000-0002-0454-4537)
- Grace Meijuan Yang (ORCID: https://orcid.org/0000-0002-0915-6007)
Institutions
- Duke-NUS Medical School (SG)
- Tampere University (FI)
- National Cancer Centre Singapore (SG)
- Signature Research (United States) (US)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1186/s12874-024-02379-z
- Citations
- 1
- Primary Topic
- Statistical Methods and Bayesian Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.71
Funders
- Medical Research Council
- National Medical Research Council