A review of survival trees

被引：154

作者：

Bou-Hamad, Imad ^{[1
]}

Larocque, Denis ^{[2
]}

Ben-Ameur, Hatem ^{[2
]}

机构：

[1] Amer Univ Beirut, Olayan Sch Business, Dept Business Informat & Decis Syst, Beirut 2020, Lebanon

[2] HEC Montreal, Dept Management Sci, 3000 Chemin Cote St Catherine, Montreal, PQ H3T 2A7, Canada

来源：

STATISTICS SURVEYS | 2011年 / 5卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Survival trees; CART; time-varying covariate; right-censored data; discrete-time; ensemble methods; time-varying effect; bagging; survival forest;

D O I：

10.1214/09-SS047

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 [统计学]; 070103 [概率论与数理统计]; 0714 [统计学];

摘要：

This paper presents a non-technical account of the developments in tree-based methods for the analysis of survival data with censoring. This review describes the initial developments, which mainly extended the existing basic tree methodologies to censored data as well as to more recent work. We also cover more complex models, more specialized methods, and more specific problems such as multivariate data, the use of time-varying covariates, discrete-scale survival data, and ensemble methods applied to survival trees. A data example is used to illustrate some methods that are implemented in R.

引用

页码：44 / 71

页数：28

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