Multivariate Survival Analysis on Synthetic multivariate survival Conditional uniform censoring
0.7489Censored ESNaive observed engression
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Naive observed engressionCensoring=Conditional uniform2026.06 | 0.7489 | 4.5448 | |
| Independent WeibullCensoring=Conditional uniform2026.06 | 0.7155 | 3.6283 | |
| MLP independent WeibullCensoring=Conditional uniform2026.06 | 0.7006 | 3.7896 | |
| Clayton–WeibullCensoring=Conditional uniform2026.06 | 0.6463 | 3.4849 | |
| MLP Clayton–WeibullCensoring=Conditional uniform2026.06 | 0.6416 | 3.4174 | |
| Latent engressionCensoring=Conditional uniform2026.06 | 0.6137 | 3.2389 | |
| Censored engressionCensoring=Conditional uniform2026.06 | 0.6089 | 3.6355 | |
| DGPCensoring=Conditional uniform2026.06 | 0.5965 | 3.1883 | |
| Independent Weibull2026.06 | 0.4774 | 1.4879 | |
| Clayton–Weibull2026.06 | 0.4633 | 1.464 | |
| Gumbel–Weibull2026.06 | 0.462 | 1.4628 | |
| Naive observed engression2026.06 | 0.4553 | 1.5009 | |
| MLP independent Weibull2026.06 | 0.4178 | 1.3698 | |
| Joint grid likelihood2026.06 | 0.4124 | 1.3582 | |
| MLP Clayton–Weibull2026.06 | 0.4051 | 1.3399 | |
| Censored engression2026.06 | 0.3871 | 1.3088 | |
| Latent engression2026.06 | 0.3868 | 1.2601 | |
| DGP2026.06 | 0.3811 | 1.2468 |