Figure 2.

True survival tree models for scenarios A (linear temporal feature only) and B (linear and quadratic temporal features). In scenario A, the tree splits first on the slope, β₁ + b₁, followed by the observed baseline value of the repeatedly measured covariate, W₁ (t₁), and fixed-time covariates W₂ and W₃. In scenario B, the tree splits first on the slope, followed by splits on the baseline value of the repeatedly measured covariate, the curvature, β₂ + b₂, and fixed-time covariate W₃. Time-to-event outcomes of cases classified into each of the five terminal nodes follow exponential distributions with parameters λ_h, h = 1, . . . , 5.