成组复发事件下的半参数变换模型

A General Class of Semiparametric Rates Models for Recurrent Event Data

本文在成组复发事件下研究了一个一般半参数的边际变换模型,利用估计方程的理论,给出了该模型中未知参数和基本比率函数的估计,同时利用现代经验过程理论证明了所得估计的相合性和渐近正态性.

In this article, we propose a class of semiparametric transformation Models for clustered recurrent event data. For the inference on the model parameters, estimating equa- tion approaches are developed. Based on modern empirical process theory, the consistency and asymptotic normality of the proposed estimators are established.