在临床试验中,当病人序贯地来到时,我们总想自适应地为病人在两种可供选择的治疗方案中选择较优的一种治疗方案,由于受实验者是病人,所以这就显得特别重要.本文中,基于统计有效性,我们讨论临床试验中几种依赖于未知参数的最优配置规则,并提出相应的自适应设计模型,同时获得一些渐近性质.而这些渐近性质又表明文中提出的自适应设计模型能达到临床试验中的渐近最优配置规则. In clinical trials, when the patient arrives sequentially, we always want to adaptively choose a better treatment plan for the patient among the two alternative treatment options. Since the subject is the patient, this It is particularly important.In this paper, based on statistical validity, we discuss several optimal placement rules in clinical trials that depend on unknown parameters and propose corresponding adaptive design models with some asymptotic properties It also shows that the adaptive design model proposed in this paper can achieve the asymptotic optimal placement rules in clinical trials.