Regression models – parametric and Cox proportional hazards models

You may recall that the survival data consists of complete as well as censored observations, and we saw that the lifetimes look like 400, 4500+, 1012, 1925, 1504+, … for the pbc dataset. Although the lifetimes are continuous random variables, a regression model of the form Regression models – parametric and Cox proportional hazards models will not be appropriate here. In fact, there were many attempts to correct and improvise on models of this form in the 1970s, and most often the results were detrimental. We will define a generic hazards regression model as follows:

Here, t is the lifetime, is the lifetime indicator, is the covariate vector, ...

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