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具有信息性终端事件的复发事件数据的加性-乘性率模型。

An additive-multiplicative rates model for recurrent event data with informative terminal event.

作者信息

Sun Liuquan, Kang Fangyuan

机构信息

Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, People's Republic of China.

出版信息

Lifetime Data Anal. 2013 Jan;19(1):117-37. doi: 10.1007/s10985-012-9228-2. Epub 2012 Sep 11.

Abstract

In this article, we propose an additive-multiplicative rates model for recurrent event data in the presence of a terminal event such as death. The association between recurrent and terminal events is nonparametric. For inference on the model parameters, estimating equation approaches are developed, and the asymptotic properties of the resulting estimators are established. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a bladder cancer study is provided.

摘要

在本文中,我们针对存在诸如死亡等终末事件情况下的复发事件数据提出了一个加乘率模型。复发事件与终末事件之间的关联是非参数的。为了对模型参数进行推断,我们开发了估计方程方法,并建立了所得估计量的渐近性质。通过模拟研究评估了所提出估计量的有限样本行为,并给出了在一项膀胱癌研究中的应用。

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