Table 1.
kernel | T | RIST-R1 | RIST-R2 | ICO | DR | Cox | |
---|---|---|---|---|---|---|---|
1 | Linear | 0 (26) | 0 (31) | 1 (30) | −20 (54) | −39 (76) | −29 (33) |
Gaussian | −17 (44) | −11 (35) | −8 (36) | −25 (50) | −88 (79) | ||
2 | Linear | 22 (113) | −1 (112) | −24 (125) | −137 (131) | −232 (132) | 53 (69) |
Gaussian | −39 (115) | −40 (103) | −72 (114) | −175 (120) | −311 (106) | ||
3 | Linear | 785 (52) | 766 (59) | 763 (51) | 683 (113) | 598 (120) | 745 (64) |
Gaussian | 896 (61) | 803 (56) | 834 (71) | 785 (105) | 606 (115) | ||
4 | Linear | −453 (37) | −469 (47) | −451 (27) | −469 (48) | −481 (59) | −464 (36) |
Gaussian | −465 (35) | −482 (44) | −457 (28) | −487 (45) | −531 (43) |
T: using true survival time as weight; 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.