Inference on Average Treatment Effect under Minimization and Other Covariate-Adaptive Randomization Methods

  title={Inference on Average Treatment Effect under Minimization and Other Covariate-Adaptive Randomization Methods},
  author={Ting Ye and Yanyao Yi and Jun Shao},
  journal={arXiv: Methodology},
Covariate-adaptive randomization schemes such as the minimization and stratified permuted blocks are often applied in clinical trials to balance treatment assignments across prognostic factors. The existing theoretical developments on inference after covariate-adaptive randomization are mostly limited to situations where a correct model between the response and covariates can be specified or the randomization method has well-understood properties. Based on stratification with covariate levels… 

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