From: Propensity score analysis with missing data using a multi-task neural network
Missing rate | Method | True effect =0 | True effect =1 | ||||
---|---|---|---|---|---|---|---|
Mean | SD | RMSE | Mean | SD | RMSE | ||
0.2 | Missing indicator | 0.119 | 0.059 | 0.131 | 1.119 | 0.059 | 1.12 |
Multiple imputation | 0.11 | 0.071 | 0.128 | 1.11 | 0.071 | 1.112 | |
Multi-task neural network | 0.091 | 0.052 | 0.103 | 1.077 | 0.055 | 1.079 | |
0.3 | Missing indicator | 0.146 | 0.063 | 0.157 | 1.146 | 0.063 | 1.147 |
Multiple imputation | 0.136 | 0.076 | 0.153 | 1.136 | 0.076 | 1.138 | |
Multi-task neural network | 0.107 | 0.057 | 0.12 | 1.12 | 0.052 | 1.121 | |
0.4 | Missing indicator | 0.173 | 0.061 | 0.182 | 1.173 | 0.061 | 1.174 |
Multiple imputation | 0.192 | 0.089 | 0.209 | 1.192 | 0.089 | 1.195 | |
Multi-task neural network | 0.138 | 0.05 | 0.146 | 1.139 | 0.058 | 1.141 | |
0.5 | Missing indicator | 0.206 | 0.069 | 0.216 | 1.206 | 0.069 | 1.207 |
Multiple imputation | 0.214 | 0.078 | 0.226 | 1.214 | 0.078 | 1.216 | |
Multi-task neural network | 0.173 | 0.058 | 0.181 | 1.169 | 0.06 | 1.17 | |
0.6 | Missing indicator | 0.234 | 0.071 | 0.243 | 1.234 | 0.071 | 1.236 |
Multiple imputation | 0.228 | 0.076 | 0.239 | 1.228 | 0.076 | 1.23 | |
Multi-task neural network | 0.2 | 0.064 | 0.208 | 1.198 | 0.06 | 1.199 | |
0.7 | Missing indicator | 0.242 | 0.081 | 0.254 | 1.242 | 0.081 | 1.244 |
Multiple imputation | 0.248 | 0.08 | 0.259 | 1.248 | 0.08 | 1.251 | |
Multi-task neural network | 0.207 | 0.078 | 0.219 | 1.204 | 0.071 | 1.206 | |
0.8 | Missing indicator | 0.258 | 0.061 | 0.264 | 1.258 | 0.061 | 1.259 |
Multiple imputation | 0.26 | 0.074 | 0.269 | 1.26 | 0.074 | 1.262 | |
Multi-task neural network | 0.226 | 0.053 | 0.232 | 1.224 | 0.057 | 1.225 |