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

相关论文

共 50 条

[31] A dependent Dirichlet process model for survival data with competing risks [J].

Shi, Yushu ;

Laud, Purushottam ;

Neuner, Joan .

LIFETIME DATA ANALYSIS, 2021, 27 (01) :156-176

[32] ANALYSIS OF SURVIVAL-DATA WITH 2 DEPENDENT COMPETING RISKS [J].

BAGAI, I ;

RAO, BLSP .

BIOMETRICAL JOURNAL, 1992, 34 (07) :801-814

[33] Parametric Regression Approach for Gompertz Survival Times with Competing Risks [J].

H. Rehman ;

N. Chandra .

Communications on Applied Mathematics and Computation, 2022, 4 :1175-1190

[34] Estimates of clinically useful measures in competing risks survival analysis [J].

Ambrogi, Federico ;

Biganzoli, Elia ;

Boracchi, Patrizia .

STATISTICS IN MEDICINE, 2008, 27 (30) :6407-6425

[35] Propensity-score matching with competing risks in survival analysis [J].

Austin, Peter C. ;

Fine, Jason P. .

STATISTICS IN MEDICINE, 2019, 38 (05) :751-777

[36] A random forest approach for competing risks based on pseudo-values [J].

Mogensen, Ulla B. ;

Gerds, Thomas A. .

STATISTICS IN MEDICINE, 2013, 32 (18) :3102-3114

[37] Nonparametric maximum likelihood estimation for competing risks survival data subject to interval censoring and truncation [J].

Hudgens, MG ;

Satten, GA ;

Longini, IM .

BIOMETRICS, 2001, 57 (01) :74-80

[38] Regional variation in relative survival-quantifying the effects of the competing risks of death by using a cure fraction model with random effects [J].

Seppa, Karri ;

Hakulinen, Timo ;

Laara, Esa .

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2014, 63 (01) :175-190

[39] Random survival forests with multivariate longitudinal endogenous covariates [J].

Devaux, Anthony ;

Helmer, Catherine ;

Genuer, Robin ;

Proust-Lima, Cecile .

STATISTICAL METHODS IN MEDICAL RESEARCH, 2023, 32 (12) :2331-2346

[40] Competing risks [J].

Klein, John P. .

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, 2010, 2 (03) :333-339

← 1 2 3 4 5 →