Understanding the Cox Regression Models with Time-Change Covariates
نویسنده
چکیده
The Cox regression model is a cornerstone of modern survival analysis and is widely used in many other fields as well. But the Cox models with time-change covariates are not easy to understand or visualize. We therefore offer a simple and easy-to-understand interpretation of the (arbitrary) baseline hazard and time-change covariate. This interpretation also provides a way to simulate variables that follow a Cox model with arbitrary baseline hazard and time-change covariate. Splus/R codes to generate/fit various Cox models are included. Frailty model is also included.
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