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树增强型Cox比例风险模型

Tree-augmented Cox proportional hazards models.

作者信息

Su Xiaogang, Tsai Chih-Ling

机构信息

Department of Statistics and Actuarial Science, University of Central Florida, Orlando, FL 32816, USA.

出版信息

Biostatistics. 2005 Jul;6(3):486-99. doi: 10.1093/biostatistics/kxi024. Epub 2005 Apr 14.

Abstract

We study a hybrid model that combines Cox proportional hazards regression with tree-structured modeling. The main idea is to use step functions, provided by a tree structure, to 'augment' Cox (1972) proportional hazards models. The proposed model not only provides a natural assessment of the adequacy of the Cox proportional hazards model but also improves its model fitting without loss of interpretability. Both simulations and an empirical example are provided to illustrate the use of the proposed method.

摘要

我们研究了一种将Cox比例风险回归与树状结构建模相结合的混合模型。主要思想是使用由树状结构提供的阶梯函数来“增强”Cox(1972)比例风险模型。所提出的模型不仅对Cox比例风险模型的充分性提供了自然的评估,而且在不损失可解释性的情况下改进了其模型拟合。提供了模拟和一个实证例子来说明所提出方法的使用。

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