考虑在纵向数据情况下不会导致风险显著增加的最高剂量的估计问题.基于AIC(Akaike Information Criterion)的思想提出了一个新的估计方法,证明了该估计的强相合性,并通过模拟的结果说明了其对于中小样本的优良性.
This paper is focused on the estimation of the highest dose level for no increased toxicity response in longitudinal data. A new estimator is proposed based on the ideas of AIC. The estimator has strong consistency when the number of subjects in trial goes to infinity, and is proved good by simulations with respect to small and moderate sample sizes.