Proportional hazard model for time-dependent covariates with repeated events

被引：0
|
作者：
Mendes, Alexandre [1 ]
Fard, Nasser [1 ]
机构：
[1] Northeastern Univ, Dept Mech & Ind Engn, Boston, MA 02115 USA
来源：
PROCEEDINGS 18TH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY & QUALITY IN DESIGN | 2012年
关键词：
Proportional hazard model; Cox model; time-dependent covariates; repeated events; REGRESSION;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Cox's proportional hazard 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. This paper presents a review and analysis of the model parameter estimation. The model's assumptions are discussed, and a detailed analysis highlights the application, advantages and potential limitations when the assumption of proportionality is violated.
引用
收藏
页码：258 / 262
页数：5
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