Imputation method | MSE | RMSE | MAD | Deviance |
---|---|---|---|---|
Complete cases | 0.854 | 0.924 | 0.689 | 54241.55 |
Interpolation LOCF | 0.849 | 0.922 | 0.666 | 174247.8 |
Interpolation global | 0.854 | 0.924 | 0.639 | 181020.8 |
Interpolation local | 0.859 | 0.927 | 0.624 | 185848 |
Interpolation bisector | 0.854 | 0.924 | 0.636 | 181482.6 |
copyMean.LOCF | 0.849 | 0.922 | 0.667 | 174344.9 |
copyMean.global | 0.854 | 0.924 | 0.641 | 181116.8 |
copyMean.local | 0.859 | 0.927 | 0.624 | 186016.9 |
copyMean.bisector | 0.855 | 0.924 | 0.638 | 181544.8 |
LOCF | 0.850 | 0.922 | 0.672 | 174940.5 |
NOCB | 0.850 | 0.922 | 0.671 | 175030.9 |
Traj mean | 0.847 | 0.920 | 0.636 | 171740.2 |
Traj median | 0.847 | 0.920 | 0.639 | 172071.6 |
Traj hot deck | 0.850 | 0.922 | 0.677 | 175267.3 |
Cross mean | 0.866 | 0.930 | 0.680 | 175619.2 |
Cross median | 0.866 | 0.931 | 0.678 | 175871.9 |
Cross hot deck | 0.881 | 0.939 | 0.692 | 185584.4 |
FCS-LMM | 0.874 | 0.935 | 0.693 | 181290.1 |
FCS-LMM-het | 0.874 | 0.935 | 0.693 | 181290.1 |
FCS-GLMM | 0.854 | 0.924 | 0.70 | 176799.5 |
FCS-LMM-LN | 0.854 | 0.924 | 0.692 | 176975 |
FCS-LMM-LN-het | 0.854 | 0.924 | 0.701 | 177478.9 |
JointAI | 0.854 | 0.924 | 0.70 | 176904.3 |
hmi | 0.854 | 0.924 | 0.70 | 176767 |
JM-SMC | 0.854 | 0.924 | 0.70 | 176812 |
JM-SMC-het | 0.854 | 0.924 | 0.70 | 176818.3 |
JM-MLMM | 0.854 | 0.924 | 0.699 | 176732.2 |
JM-FJ | 0.854 | 0.924 | 0.699 | 176758.1 |