Cure Models in Survival Analysis

被引:109
|
作者
Amico, Mailis [1 ]
Van Keilegom, Ingrid [1 ]
机构
[1] Katholieke Univ Leuven, Res Ctr Operat Res & Business Stat ORSTAT, B-3000 Leuven, Belgium
来源
ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 5 | 2018年 / 5卷
基金
欧盟地平线“2020”;
关键词
survival analysis; mixture cure model; promotion time cure model; censoring; regression; PROPORTIONAL HAZARDS MODEL; LONG-TERM SURVIVORS; FAILURE TIME MODEL; BREAST-CANCER; PENALIZED LIKELIHOOD; VARIABLE SELECTION; REGRESSION-MODELS; MIXTURE-MODELS; SEMIPARAMETRIC MODELS; MAXIMUM-LIKELIHOOD;
D O I
10.1146/annurev-statistics-031017-100101
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
When analyzing time-to-event data, it often happens that a certain fraction of the data corresponds to subjects who will never experience the event of interest. These event times are considered as infinite and the subjects are said to be cured. Survival models that take this feature into account are commonly referred to as cure models. This article reviews the literature on cure regression models in which the event time (response) is subject to random right censoring and has a positive probability to be equal to infinity.
引用
收藏
页码:311 / 342
页数:32
相关论文
共 50 条
  • [21] CureAuxSP : An R package for estimating mixture cure models with auxiliary survival probabilities
    Ding, Jie
    Li, Jialiang
    Zhang, Mengxiu
    Wang, Xiaoguang
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2024, 251
  • [22] Survival mixture models in behavioral scoring
    Alves, Bruno Cardoso
    Dias, Jose G.
    EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (08) : 3902 - 3910
  • [23] Semiparametric transformation models for survival data with a cure fraction
    Zeng, Donglin
    Yin, Guosheng
    Ibrahim, Joseph G.
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2006, 101 (474) : 670 - 684
  • [24] Censored quantile regression survival models with a cure proportion
    Narisetty, Naveen
    Koenker, Roger
    JOURNAL OF ECONOMETRICS, 2022, 226 (01) : 192 - 203
  • [25] A penalized likelihood approach for mixture cure models
    Corbiere, Fabien
    Commenges, Daniel
    Taylor, Jeremy M. G.
    Joly, Pierre
    STATISTICS IN MEDICINE, 2009, 28 (03) : 510 - 524
  • [26] Semiparametric Estimation in Transformation Models with Cure Fraction
    Zhao, Xiaobing
    Zhou, Xian
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2010, 39 (18) : 3371 - 3388
  • [27] A multiple time scale survival model with a cure fraction
    Louzada, Francisco
    Cobre, Juliana
    TEST, 2012, 21 (02) : 355 - 368
  • [28] Bayesian sensitivity models for missing covariates in the analysis of survival data
    Hemming, Karla
    Hutton, Jane Luise
    JOURNAL OF EVALUATION IN CLINICAL PRACTICE, 2012, 18 (02) : 238 - 246
  • [29] What Cure Models Can Teach us About Genome-Wide Survival Analysis
    Stringer, Sven
    Denys, Damiaan
    Kahn, Rene S.
    Derks, Eske M.
    BEHAVIOR GENETICS, 2016, 46 (02) : 269 - 280
  • [30] Analysis of cure rate survival data under proportional odds model
    Gu, Yu
    Sinha, Debajyoti
    Banerjee, Sudipto
    LIFETIME DATA ANALYSIS, 2011, 17 (01) : 123 - 134