Fig. 3.

Simulated Nonlinear Experimental Log-Risk Surfaces. Log-risk surfaces of the nonlinear test set with respect to patient’s covariates x₀ and x₁. a The calculated true log-risk h(x) (Eq. 9) for each patient. b The predicted log-risk surface of ${ĥ}_{\beta }\left(x\right)$ from the linear CPH model parameterized on β. The linear CPH predicts a constant log-risk. c The output of DeepSurv ${ĥ}_{\theta }\left(x\right)$ is the estimated log-risk function