• Corpus ID: 237420874

Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates

@inproceedings{Wang2021RerandomizationWD,
  title={Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates},
  author={Yuhao Wang and Xinran Li},
  year={2021}
}
Completely randomized experiments have been the gold standard for drawing causal inference because they can balance all potential confounding on average. However, they can often suffer from unbalanced covariates for realized treatment assignments. Rerandomization, a design that rerandomizes the treatment assignment until a prespecified covariate balance criterion is met, has recently got attention due to its easy implementation, improved covariate balance and more efficient inference… 

Tables from this paper