PRACTICAL APPROXIMATION FOR THE PROPORTIONAL HAZARD MODEL WITH TIME-DEPENDENT COVARIATES AND REPEATED EVENTS

被引:2
作者
Mendes, Alexandre [1 ]
Fard, Nasser [2 ]
机构
[1] Northeastern Univ, Dept Mech & Ind Engn, Ind Engn, Boston, MA 02115 USA
[2] Northeastern Univ, Dept Mech & Ind Engn, Boston, MA 02115 USA
关键词
Proportional hazard model; Cox model; time-dependent covariates; repeated events;
D O I
10.1142/S0218539312400049
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Cox's proportional hazard model is potentially the most used method in life data and survival analysis. Although the method is relatively simple to understand, its major difficulties in estimation are observed when time-dependent covariates with repeated events are used as input variables. An alternative approach to simplify hazard ratio prediction for repeated events is evaluated for a practical application using small appliances reliability data from an accelerated experimental design based on consumer usage.
引用
收藏
页数:18
相关论文
共 50 条
[21]   Piecewise exponential survival trees with time-dependent covariates [J].
Huang, X ;
Chen, SD ;
Soong, SJ .
BIOMETRICS, 1998, 54 (04) :1420-1433
[22]   Accounting for time-dependent covariates in driving simulator studies [J].
Donmez, Birsen ;
Boyle, Linda Ng ;
Lee, John D. .
THEORETICAL ISSUES IN ERGONOMICS SCIENCE, 2008, 9 (03) :189-199
[23]   Regression analysis of multiplicative hazards model with time-dependent coefficient for sparse longitudinal covariates [J].
Sun, Zhuowei ;
Cao, Hongyuan .
JOURNAL OF NONPARAMETRIC STATISTICS, 2025,
[24]   Additive rates model for recurrent event data with intermittently observed time-dependent covariates [J].
Lyu, Tianmeng ;
Luo, Xianghua ;
Huang, Chiung-Yu ;
Sun, Yifei .
STATISTICAL METHODS IN MEDICAL RESEARCH, 2021, 30 (10) :2239-2255
[25]   The impact of time-dependent bias in proportional hazards modelling [J].
Beyersmann, Jan ;
Wolkewitz, Martin ;
Schumacher, Martin .
STATISTICS IN MEDICINE, 2008, 27 (30) :6439-6454
[26]   Comparison of algorithms to generate event times conditional on time-dependent covariates [J].
Sylvestre, Marie-Pierre ;
Abrahamowicz, Michal .
STATISTICS IN MEDICINE, 2008, 27 (14) :2618-2634
[27]   SUPPORT VECTOR MACHINE FOR DYNAMIC SURVIVAL PREDICTION WITH TIME-DEPENDENT COVARIATES [J].
Xie, Wenyi ;
Zeng, Donglin ;
Wang, Yuanjia .
ANNALS OF APPLIED STATISTICS, 2024, 18 (03) :2166-2186
[28]   Dynamic path analysis—a new approach to analyzing time-dependent covariates [J].
Johan Fosen ;
Egil Ferkingstad ;
Ørnulf Borgan ;
Odd O. Aalen .
Lifetime Data Analysis, 2006, 12 :143-167
[29]   Dynamic path analysis - a new approach to analyzing time-dependent covariates [J].
Fosen, Johan ;
Ferkingstad, Egil ;
Borgan, Ornulf ;
Aalen, Odd O. .
LIFETIME DATA ANALYSIS, 2006, 12 (02) :143-167
[30]   Accounting for time-dependent covariates whose levels are influenced by exposure status [J].
Weiss, NS ;
Dublin, S .
EPIDEMIOLOGY, 1998, 9 (04) :436-440