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
来源：
INTERNATIONAL JOURNAL OF RELIABILITY QUALITY & SAFETY ENGINEERING | 2012年 / 19卷 / 06期
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.
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页数：18
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