Table 2.
kernel | RIST-R1 | RIST-R2 | ICO | DR | Cox |
---|---|---|---|---|---|
Linear | 3.641 (0.144) | 3.641 (0.138) | 3.633 (0.158) | 3.590 (0.174) | 3.582 (0.158) |
Gaussian | 3.611 (0.215) | 3.615 (0.220) | 3.302 (0.221) | 3.470 (0.233) |
RIST-R1 and RIST-R2: using the estimated R1 and R2 respectively as weights, while the conditional expectations are estimated using recursively imputed survival trees; ICO: inverse probability of censoring weighted learning; DR: doubly robust outcome weighted learning; Cox: Cox proportional hazards model using covariate-treatment interactions.