From: Estimation of average treatment effect based on a multi-index propensity score
Estimator | Estimates | BS-SE | 95%-CI | P-value |
---|---|---|---|---|
Single model-based estimators | ||||
IPW.model1 | 3.015 | 0.522 | (1.992, 4.038) | < 0.001 |
IPW.model2 | 3.140 | 0.515 | (2.131, 4.149) | < 0.001 |
IPW.ANN | 2.404 | 0.560 | (1.306, 3.502) | < 0.001 |
OR.model1 | 3.187 | 0.471 | (2.264, 4.110) | < 0.001 |
OR.model2 | 3.254 | 0.477 | (2.319, 4.189) | < 0.001 |
OR.ANN | 3.392 | 0.825 | (1.775, 5.009) | < 0.001 |
Artificial neural network-based MiPS estimator | ||||
MiPS-1000 | 2.713 | 0.510 | (1.713, 3.713) | < 0.001 |
MiPS-0100 | 2.871 | 0.510 | (1.871, 3.871) | < 0.001 |
MiPS-0010 | 2.584 | 0.468 | (1.667, 3.501) | < 0.001 |
MiPS-0001 | 2.221 | 0.476 | (1.288, 3.154) | < 0.001 |
MiPS-1100 | 2.880 | 0.505 | (1.890, 3.870) | < 0.001 |
MiPS-1010 | 2.764 | 0.508 | (1.768, 3.760) | < 0.001 |
MiPS-1001 | 2.704 | 0.520 | (1.685, 3.723) | < 0.001 |
MiPS-0110 | 2.834 | 0.513 | (1.829, 3.839) | < 0.001 |
MiPS-0101 | 2.868 | 0.520 | (1.849, 3.887) | < 0.001 |
MiPS-0011 | 2.606 | 0.468 | (1.689, 3.523) | < 0.001 |
MiPS-1110 | 2.847 | 0.515 | (1.838, 3.856) | < 0.001 |
MiPS-1101 | 2.890 | 0.528 | (1.855, 3.925) | < 0.001 |
MiPS-1011 | 2.868 | 0.546 | (1.798, 3.938) | < 0.001 |
MiPS-0111 | 2.854 | 0.536 | (1.803, 3.905) | < 0.001 |
MiPS-1111 | 2.873 | 0.526 | (1.842, 3.904) | < 0.001 |