Crossing hazard functions in common survival models

被引:15
|
作者
Zhang, Jiajia [2 ]
Peng, Yingwei [1 ]
机构
[1] Queens Univ, Dept Math & Stat, Dept Community Hlth & Epidemiol, Kingston, ON K7L 3N6, Canada
[2] Univ S Carolina, Dept Epidemiol & Biostat, Columbia, SC 29208 USA
基金
加拿大创新基金会; 加拿大自然科学与工程研究理事会;
关键词
REGRESSION;
D O I
10.1016/j.spl.2009.07.002
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Crossing hazard functions have extensive applications in modeling survival data. However, existing studies in the literature mainly focus on comparing crossed hazard functions and estimating the time at which the hazard functions cross, and there is little theoretical work on conditions under which hazard functions from a model will have a crossing. In this paper, we investigate crossing status of hazard functions from the proportional hazards (PH) model, the accelerated hazard (AH) model, and the accelerated failure time ( AFT) model. We provide and prove conditions under which the hazard functions from the AH and the AFT models have no crossings or a single crossing. A few examples are also provided to demonstrate how the conditions can be used to determine the crossing status of hazard functions from the three models. (C) 2009 Elsevier B. V. All rights reserved.
引用
收藏
页码:2124 / 2130
页数:7
相关论文
共 50 条
  • [1] Specification analysis in mixed hazard models and a test of crossing survival functions
    Mosier, K
    Philipson, T
    [J]. STATISTICAL PAPERS, 1999, 40 (01) : 37 - 54
  • [2] Specification analysis in mixed hazard models and a test of crossing survival functions
    Mosler K.
    Philipson T.
    [J]. Statistical Papers, 1999, 40 (1) : 37 - 54
  • [3] Comparing crossing hazard rate functions by joint modelling of survival and longitudinal data
    Park, Kayoung
    Qiu, Peihua
    [J]. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2019, 89 (18) : 3391 - 3412
  • [4] Bayesian regularization for flexible baseline hazard functions in Cox survival models
    Lazaro, Elena
    Armero, Carmen
    Alvares, Danilo
    [J]. BIOMETRICAL JOURNAL, 2021, 63 (01) : 7 - 26
  • [5] Model selection and diagnostics for joint modeling of survival and longitudinal data with crossing hazard rate functions
    Park, Ka Young
    Qiu, Peihua
    [J]. STATISTICS IN MEDICINE, 2014, 33 (26) : 4532 - 4546
  • [6] EVALUATION OF GRADE CROSSING HAZARD RANKING MODELS
    Sperry, Benjamin R.
    Naik, Bhaven
    Warner, Jeffery E.
    [J]. PROCEEDINGS OF THE ASME JOINT RAIL CONFERENCE, 2017, 2017,
  • [7] On a trinity role of the survival and hazard functions of the two-stage carcinogenesis models
    Zheng, Q
    [J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 1998, 27 (01) : 137 - 145
  • [8] A test for comparing current status survival data with crossing hazard functions and its application to immunogenicity of biotherapeutics
    Jonas, Sarah Flora
    Mbogning, Cyprien
    Broet, Philippe
    [J]. STATISTICS IN MEDICINE, 2017, 36 (27) : 4364 - 4377
  • [9] On the hazard rate of α-mixture of survival functions
    Shojaee, Omid
    Asadi, Majid
    Finkelstein, Maxim
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2024, 53 (11) : 4062 - 4084
  • [10] Modeling and analysis of data with confounding covariates and crossing of the hazard functions
    Bagdonavicius, Vilijandas
    Hafdi, Mohamed Ali
    Levuliene, Ruta
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2021, 50 (22) : 5262 - 5284