Survival Analysis, Python, Aft, Cox Ph, Machine Learning.
-0.01. We can recall that in the Cox proportional hazard model, a higher hazard means more at risk of the event occurring. Here, the value of exp(-0.01) is called the hazard ratio. It shows that a one unit increase in wt loss means the baseline hazard will increase by a factor of exp(-0.01) = 0.99