Table 5.
Bias | RMSE | Coverage IC | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Implementation | Approach | ||||||||||||
Parametric | Crude | −0.164 | −0.027 | −0.021 | −0.035 | 0.168 | 0.045 | 0.050 | 0.045 | 0.002 | 0.897 | 0.941 | 0.786 |
stan | 0.004 | 0.028 | 0.009 | −0.005 | 0.029 | 0.043 | 0.041 | 0.026 | 0.921 | 0.800 | 0.939 | 0.942 | |
IPW | −0.005 | 0.011 | 0.003 | −0.002 | 0.040 | 0.048 | 0.050 | 0.029 | 0.957 | 0.902 | 0.947 | 0.963 | |
match | 0.040 | −0.004 | 0.023 | 0.004 | 0.050 | 0.043 | 0.052 | 0.042 | 0.279 | 0.428 | 0.335 | 0.398 | |
BCM | 0.004 | 0.003 | 0.002 | −0.013 | 0.045 | 0.052 | 0.053 | 0.055 | 0.406 | 0.353 | 0.324 | 0.326 | |
TMLE | −0.006 | 0.012 | 0.001 | −0.005 | 0.037 | 0.044 | 0.044 | 0.028 | 0.935 | 0.859 | 0.926 | 0.951 | |
OW | 0.001 | 0.005 | 0.009 | 0.004 | 0.041 | 0.045 | 0.049 | 0.033 | 0.955 | 0.902 | 0.936 | 0.966 | |
A-OW | −0.006 | 0.021 | 0.007 | −0.005 | 0.040 | 0.048 | 0.046 | 0.032 | 0.942 | 0.859 | 0.943 | 0.942 | |
Machine | |||||||||||||
learning | stan | 0.007 | 0.027 | 0.008 | −0.006 | 0.030 | 0.043 | 0.041 | 0.026 | 0.923 | 0.847 | 0.941 | 0.944 |
IPW | −0.027 | 0.009 | −0.001 | −0.012 | 0.048 | 0.040 | 0.046 | 0.031 | 0.908 | 0.924 | 0.956 | 0.954 | |
match | 0.028 | −0.008 | 0.019 | 0.000 | 0.041 | 0.037 | 0.048 | 0.039 | 0.401 | 0.485 | 0.360 | 0.459 | |
BCM | 0.001 | 0.007 | 0.006 | −0.007 | 0.042 | 0.044 | 0.048 | 0.050 | 0.436 | 0.393 | 0.349 | 0.367 | |
TMLE | −0.003 | 0.018 | 0.007 | −0.004 | 0.035 | 0.043 | 0.042 | 0.027 | 0.932 | 0.837 | 0.925 | 0.942 | |
OW | −0.028 | 0.000 | −0.007 | −0.011 | 0.047 | 0.040 | 0.048 | 0.032 | 0.899 | 0.916 | 0.952 | 0.959 | |
A-OW | −0.005 | 0.025 | 0.009 | −0.004 | 0.035 | 0.047 | 0.045 | 0.028 | 0.935 | 0.824 | 0.930 | 0.948 |
Note: Crude=Unadjusted, stan=standardization, IPW=inverse probability weighting, match=matching, BCM=bias-corrected matching, TMLE=targeted maximum likelihood, OW=overlap weights, A-OW=augmented overlap weights.