• Corpus ID: 254854684

Model-robust and efficient covariate adjustment for cluster-randomized experiments

@inproceedings{Wang2022ModelrobustAE,
  title={Model-robust and efficient covariate adjustment for cluster-randomized experiments},
  author={Bingkai Wang and Chan Park and Dylan S. Small and Fan Li},
  year={2022}
}
Cluster-randomized experiments are increasingly used to evaluate interventions in routine practice conditions, and researchers often adopt model-based methods with covariate adjustment in the statistical analyses. However, the validity of model-based covariate adjustment is unclear when the working models are misspecified, leading to ambiguity of estimands and risk of bias. In this article, we first adapt two conventional model-based methods, generalized estimating equations and linear mixed… 

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