生存树的回顾

IF 11 Q1 STATISTICS & PROBABILITY

Statistics Surveys Pub Date : 2011-08-01 DOI:10.1214/09-SS047

Imad Bou-Hamad, Denis Larocque, H. Ben-Ameur

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引用次数: 179

摘要

本文提出了一个非技术的发展，以树为基础的方法来分析与审查的生存数据。这篇综述描述了最初的发展，主要是将现有的基本树方法扩展到审查数据以及最近的工作。我们还涵盖了更复杂的模型、更专业的方法和更具体的问题，如多变量数据、时变协变量的使用、离散尺度生存数据和应用于生存树的集成方法。使用一个数据示例来说明在R中实现的一些方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A review of survival trees

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.

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来源期刊

Statistics Surveys STATISTICS & PROBABILITY-

CiteScore

11.70

自引率

0.00%

发文量

期刊介绍： Statistics Surveys publishes survey articles in theoretical, computational, and applied statistics. The style of articles may range from reviews of recent research to graduate textbook exposition. Articles may be broad or narrow in scope. The essential requirements are a well specified topic and target audience, together with clear exposition. Statistics Surveys is sponsored by the American Statistical Association, the Bernoulli Society, the Institute of Mathematical Statistics, and by the Statistical Society of Canada.