Response-Adaptive Rerandomization
提出一种响应自适应再随机化方法，在临床试验中结合协变量和响应信息进行分配，兼顾统计效率与伦理，适用于连续和二元结果。
Abstract Rerandomization has recently attracted more attention in the literature randomized experiments. It leverages covariate information of participants to achieve a well-balanced allocation, and thus improves the efficiency of inference. However, by only considering covariate information, it may lead to potential ethical issues in clinical trials as a large number of patients might be assigned to the inferior treatment arm. To mitigate this issue, we propose a response-adaptive rerandomization scheme by incorporating response information for two-arm comparative clinical trials. Not only is our method applicable to both continuous and binary outcomes, but it also demonstrates desirable statistical and ethical properties. Extensive simulation studies are performed to illustrate the practicality and superiority of our approach.