Bi-directional MR estimation (X -> Y) on Synthetic Scenario S(2, 2, 6)
0.02MSEPReBiM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PReBiMSample Size=5k2024.07 | 0.02 | 0.93 | |
| PReBiMSample Size=10k2024.07 | 0.044 | 0.95 | |
| PReBiMSample Size=2k2024.07 | 0.046 | 0.85 | |
| NAIVESample Size=5k2024.07 | 0.35 | — | |
| NAIVESample Size=2k2024.07 | 0.354 | — | |
| NAIVESample Size=10k2024.07 | 0.366 | — | |
| sisVIVESample Size=2k2024.07 | 0.398 | 0.3 | |
| sisVIVESample Size=5k2024.07 | 0.421 | 0.32 | |
| TSHTSample Size=10k2024.07 | 0.449 | 0.04 | |
| sisVIVESample Size=10k2024.07 | 0.457 | 0.31 | |
| TSHTSample Size=5k2024.07 | 0.544 | 0.04 | |
| TSHTSample Size=2k2024.07 | 0.606 | 0.07 | |
| MR-EggerSample Size=5k2024.07 | 0.737 | — | |
| MR-EggerSample Size=2k2024.07 | 0.8 | — | |
| MR-EggerSample Size=10k2024.07 | 0.8 | — | |
| IV-TETRADSample Size=5k2024.07 | 0.804 | 0.62 | |
| IV-TETRADSample Size=10k2024.07 | 0.811 | 0.64 | |
| IV-TETRADSample Size=2k2024.07 | 0.859 | 0.6 |