Multiple Imputation Method | ||||
Missingness under MAR | ||||
Percentage Missing | Accuracy | Sensitivity | Specificity | AUC |
Original Complete Data | 0.9726 | 0.3058824 | 0.9960663 | 0.9510306 |
7% | 0.9757333 | 0.3388773 | 0.9968317 | 0.9501267 |
10% | 0.9742667 | 0.3190184 | 0.9963476 | 0.9509557 |
30% | 0.9756000 | 0.3702970 | 0.9966885 | 0.9493033 |
50% | 0.9751333 | 0.3447581 | 0.9966906 | 0.9542059 |
80% | 0.9752667 | 0.3265306 | 0.9971744 | 0.9479768 |
Missingness under MNAR | ||||
Percentage Missing | Accuracy | Sensitivity | Specificity | AUC |
Original Complete Data | 0.9726 | 0.3058824 | 0.9960663 | 0.9510306 |
7% | 0.9757333 | 0.3388773 | 0.9968317 | 0.9501267 |
10% | 0.9742667 | 0.3190184 | 0.9963476 | 0.9509557 |
30% | 0.9756000 | 0.3702970 | 0.9966885 | 0.9493033 |
50% | 0.9751333 | 0.3447581 | 0.9966906 | 0.9542059 |
80% | 0.9752667 | 0.3265306 | 0.9971744 | 0.9479768 |
Missingness under MCAR | ||||
Percentage Missing | Accuracy | Sensitivity | Specificity | AUC |
Original Complete Data | 0.9726 | 0.3058824 | 0.9960663 | 0.9510306 |
7% | 0.9750000 | 0.3326572 | 0.9968291 | 0.9505351 |
10% | 0.9748667 | 0.3360324 | 0.9966221 | 0.9499557 |
30% | 0.9746667 | 0.3490196 | 0.9966874 | 0.9507702 |
50% | 0.9761333 | 0.3382353 | 0.9970394 | 0.9552228 |
80% | 0.9742000 | 0.3340000 | 0.9962759 | 0.9501424 |