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

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.