Does Rerandomization Help Beyond Covariate Adjustment? A Review and Guide for Theory and Practice
协变量调整之外,再随机化是否仍有帮助?理论与实践指南
Rerandomization is a modern experimental design technique that repeatedly randomizes treatment assignments until covariates are deemed balanced between treatment groups. This enhances the precision and coherence of causal effect estimators, mitigates false discoveries from p-hacking, and increases statistical power. Recent work suggests that balancing covariates via rerandomization does not alter the asymptotic precision of covariate-adjusted estimators, thereby making it…