Multivariate Survival Analysis on Synthetic multivariate survival Uniform censoring
0.9003Censored ESNaive observed engression
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Naive observed engressionCensoring=Uniform2026.06 | 0.9003 | 4.4224 | |
| Independent WeibullCensoring=Uniform2026.06 | 0.8922 | 3.6567 | |
| MLP independent WeibullCensoring=Uniform2026.06 | 0.8724 | 3.8675 | |
| Clayton–WeibullCensoring=Uniform2026.06 | 0.8059 | 3.4878 | |
| MLP Clayton–WeibullCensoring=Uniform2026.06 | 0.8014 | 3.4073 | |
| Latent engressionCensoring=Uniform2026.06 | 0.7651 | 3.2389 | |
| Censored engressionCensoring=Uniform2026.06 | 0.7584 | 3.5878 | |
| DGPCensoring=Uniform2026.06 | 0.7451 | 3.1883 | |
| Independent Weibull2026.06 | 0.5975 | 1.4703 | |
| Clayton–Weibull2026.06 | 0.5781 | 1.4426 | |
| Gumbel–Weibull2026.06 | 0.5773 | 1.4409 | |
| Naive observed engression2026.06 | 0.5524 | 1.444 | |
| MLP independent Weibull2026.06 | 0.5333 | 1.3532 | |
| Joint grid likelihood2026.06 | 0.5245 | 1.3586 | |
| MLP Clayton–Weibull2026.06 | 0.5152 | 1.3233 | |
| Latent engression2026.06 | 0.4907 | 1.2601 | |
| Censored engression2026.06 | 0.4904 | 1.2887 | |
| DGP2026.06 | 0.484 | 1.2468 |