From: Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors
Methods | \(\beta _{Y}^{sl}\) | % R b i a s | S E cal | S E emp | RMSE | Cover |
---|---|---|---|---|---|---|
Before | 0 | 0.9 | 0.109 | 0.110 | 0.110 | 95.3 |
deletion | 1 | 1.0 | 0.109 | 0.103 | 0.103 | 96.4 |
2 | 1.2 | 0.109 | 0.115 | 0.115 | 94.4 | |
CCA | 0 | 1.5 | 0.135 | 0.137 | 0.138 | 95.8 |
1 | -7.2 | 0.133 | 0.131 | 0.149 | 90.6 | |
2 | -15.4 | 0.134 | 0.146 | 0.212 | 74.0 | |
Heml | 0 | -2.4 | 0.167 | 0.170 | 0.171 | 93.5 |
1 | -2.5 | 0.153 | 0.152 | 0.154 | 96.0 | |
2 | -3.5 | 0.144 | 0.152 | 0.156 | 94.9 | |
MIHEml | 0 | -4.0 | 0.163 | 0.163 | 0.168 | 93.9 |
1 | -3.7 | 0.152 | 0.152 | 0.156 | 95.2 | |
1 | -4.2 | 0.145 | 0.155 | 0.160 | 94.9 |