Imputation method | MSE | RMSE | MAD | Deviance |
---|---|---|---|---|
Interpolation LOCF | 0.8527485 | 0.9234451 | 0.7243289 | 41396.3 |
Interpolation global | 0.8555876 | 0.9249804 | 0.716464 | 42286.06 |
Interpolation local | 0.8602081 | 0.9274721 | 0.6975486 | 43665.6 |
Interpolation bisector | 0.8555478 | 0.9249548 | 0.7164404 | 42292.76 |
copyMean.LOCF | 0.8528052 | 0.9234774 | 0.7245612 | 41397.91 |
copyMean.global | 0.855585 | 0.9249841 | 0.7165564 | 42285.6 |
copyMean.local | 0.8601975 | 0.9274707 | 0.6977025 | 43666.37 |
copyMean.bisector | 0.8559014 | 0.925148 | 0.7141584 | 42402.8 |
LOCF | 0.8537565 | 0.9239873 | 0.7304617 | 41693.62 |
NOCB | 0.8537621 | 0.9239997 | 0.7302594 | 41683.84 |
Traj mean | 0.8504812 | 0.9222132 | 0.6835874 | 40742.72 |
Traj median | 0.8507346 | 0.9223542 | 0.687355 | 40833.42 |
Traj hot deck | 0.8538656 | 0.9240471 | 0.7318596 | 41769.81 |
Cross mean | 0.8693141 | 0.9323711 | 0.73382 | 41858.75 |
Cross median | 0.8693081 | 0.9323664 | 0.7338405 | 41860.46 |
Cross hot deck | 0.8799369 | 0.9380265 | 0.7386661 | 44022.77 |
FCS-LMM | 0.9835786 | 0.9917558 | 0.7716194 | 416116.5 |
FCS-LMM-het | 0.9835786 | 0.9917558 | 0.7716194 | 416116.5 |
FCS-GLMM | 0.9833765 | 0.9916557 | 0.7890735 | 399160 |
FCS-LMM-LN | 0.9833792 | 0.9916543 | 0.7874033 | 399770.8 |
FCS-LMM-LN-het | 0.9833914 | 0.9916603 | 0.7856904 | 401880.2 |
JointAI | 0.9833758 | 0.9916535 | 0.7875987 | 399447.3 |
hmi | 0.9833762 | 0.9916535 | 0.7876294 | 399314.6 |
JM-SMC | 0.9833776 | 0.991653 | 0.7876414 | 399511.8 |
JM-SMC-het | 0.9833189 | 0.9916236 | 0.7871983 | 399572.9 |
JM-MLMM | 0.9833767 | 0.9916536 | 0.7875398 | 399486.1 |
JM-FJ | 0.9833752 | 0.9916533 | 0.787628 | 399484.6 |