Fig. 3

Comparison of Calibration for Sudden Cardiac Arrest (SCA) Prediction with Different Random Forests Approaches. a Calibration curves by decile of predicted risk for the RSF approach which uses only baseline covariates, b RF-SLAM approach with only baseline covariates, c RF-SLAM approach with both baseline and time-varying covariates. For each panel, the difference between the predicted and observed rates are plotted for each decile. The black points indicate the estimates from the original data set. The mean predicted risk (%/year) for each decile are presented at the bottom of the plot. The gray bars indicate the 95% confidence intervals from 500 bootstrapped data sets