Mean/Mode Single Imputation Method | ||||
Missingness under MAR | ||||
Percentage Missing | Accuracy | Sensitivity | Specificity | AUC |
Original Complete Data | 0.9726 | 0.3058824 | 0.9960663 | 0.9510306 |
7% | 0.9694000 | 0.06962025 | 0.99876084 | 0.8638239 |
10% | 0.9692000 | 0.04545455 | 0.99855551 | 0.8589932 |
30% | 0.9726000 | 0.02919708 | 0.99917746 | 0.8333297 |
50% | 0.9732000 | 0.02255639 | 0.99917814 | 0.8213744 |
80% | 0.9742000 | 0.0234375 | 0.999179 | 0.8067571 |
Missingness under MNAR | ||||
Percentage Missing | Accuracy | Sensitivity | Specificity | AUC |
Original Complete Data | 0.9726 | 0.3058824 | 0.9960663 | 0.9510306 |
7% | 0.9748000 | 0.1461538 | 0.9969199 | 0.9123312 |
10% | 0.9742000 | 0.1015625 | 0.9971264 | 0.9043917 |
30% | 0.9748000 | 0.0320000 | 0.9989744 | 0.8552557 |
50% | 0.97480000 | 0.02419355 | 0.99897457 | 0.8448201 |
80% | 0.97500000 | 0.02419355 | 0.99917966 | 0.8192981 |
Missingness under MCAR | ||||
Percentage Missing | Accuracy | Sensitivity | Specificity | AUC |
Original Complete Data | 0.9726 | 0.3058824 | 0.9960663 | 0.9510306 |
7% | 0.9728000 | 0.297619 | 0.9962748 | 0.9414881 |
10% | 0.9730000 | 0.297619 | 0.9964818 | 0.9415958 |
30% | 0.9718000 | 0.21875 | 0.9966942 | 0.9363456 |
50% | 0.9732000 | 0.1458333 | 0.9977348 | 0.9110347 |
80% | 0.9738000 | 0.04580153 | 0.99876771 | 0.8360101 |