Imputation method | MSE | RMSE | MAD | Deviance |
---|---|---|---|---|
Complete cases | 0.860 | 0.927 | 0.715 | 48402.31 |
Interpolation LOCF | 0.853 | 0.924 | 0.698 | 155130.7 |
Interpolation global | 0.858 | 0.926 | 0.672 | 162242.6 |
Interpolation local | 0.864 | 0.929 | 0.654 | 167328.3 |
Interpolation bisector | 0.859 | 0.927 | 0.669 | 162677.8 |
copyMean.LOCF | 0.854 | 0.924 | 0.701 | 155243.2 |
copyMean.global | 0.858 | 0.927 | 0.678 | 161725.4 |
copyMean.local | 0.863 | 0.929 | 0.658 | 166834.6 |
copyMean.bisector | 0.859 | 0.927 | 0.675 | 162305.9 |
LOCF | 0.854 | 0.924 | 0.705 | 155906.2 |
NOCB | 0.854 | 0.924 | 0.701 | 155904.5 |
Traj mean | 0.851 | 0.922 | 0.658 | 152664.4 |
Traj median | 0.851 | 0.923 | 0.662 | 152885.9 |
Traj hot deck | 0.854 | 0.924 | 0.706 | 156429.8 |
Cross mean | 0.871 | 0.933 | 0.70 | 155292 |
Cross median | 0.871 | 0.933 | 0.70 | 155181.4 |
Cross hot deck | 0.882 | 0.939 | 0.718 | 162979.3 |
FCS-LMM | 0.881 | 0.939 | 0.721 | 161444.4 |
FCS-LMM-het | 0.881 | 0.939 | 0.721 | 161444.4 |
FCS-GLMM | 0.860 | 0.927 | 0.720 | 157721.4 |
FCS-LMM-LN | 0.859 | 0.927 | 0.716 | 157916.3 |
FCS-LMM-LN-het | 0.860 | 0.927 | 0.720 | 158532 |
JointAI | 0.859 | 0.927 | 0.720 | 157743 |
hmi | 0.859 | 0.927 | 0.720 | 157716 |
JM-SMC | 0.859 | 0.927 | 0.720 | 157732 |
JM-SMC-het | 0.859 | 0.927 | 0.720 | 157756.6 |
JM-MLMM | 0.859 | 0.927 | 0.720 | 157715 |
JM-FJ | 0.859 | 0.927 | 0.720 | 157638.5 |