Random survival forests for competing risks

被引：197

作者：

Ishwaran, Hemant ^{[1
]}

Gerds, Thomas A. ^{[2
]}

Kogalur, Udaya B. ^{[3
]}

Moore, Richard D. ^{[4
]}

Gange, Stephen J. ^{[5
]}

Lau, Bryan M. ^{[5
]}

机构：

[1] Univ Miami, Div Biostat, Miami, FL 33136 USA

[2] Univ Copenhagen, Dept Biostat, DK-1014 Copenhagen, Denmark

[3] Cleveland Clin, Dept Quantitat Hlth Sci, Cleveland, OH 44195 USA

[4] Johns Hopkins Univ, Sch Med, Dept Med, Baltimore, MD 21205 USA

[5] Johns Hopkins Univ, Dept Epidemiol, Bloomberg Sch Publ Hlth, Baltimore, MD 21205 USA

来源：

BIOSTATISTICS | 2014年 / 15卷 / 04期

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

AIDS; Brier score; Competing risks; C-index; Cumulative incidence function; Ensemble; SELECTION; MODEL;

D O I：

10.1093/biostatistics/kxu010

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We introduce a new approach to competing risks using random forests. Our method is fully non-parametric and can be used for selecting event-specific variables and for estimating the cumulative incidence function. We show that the method is highly effective for both prediction and variable selection in high-dimensional problems and in settings such as HIV/AIDS that involve many competing risks.

引用

收藏

页码：757 / 773

页数：17

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