| MLE Imputation Method | ||||
| Missingness under MAR | ||||
| Percentage Missing | Accuracy | Sensitivity | Specificity | AUC |
| Original Complete Data | 0.9726 | 0.3058824 | 0.9960663 | 0.9510306 |
| 7% | 0.9718000 | 0.2500000 | 0.9962779 | 0.9378383 |
| 10% | 0.9736000 | 0.3173653 | 0.9962756 | 0.9460736 |
| 30% | 0.9730000 | 0.3048780 | 0.9956576 | 0.9344419 |
| 50% | 0.9736000 | 0.2926829 | 0.9966915 | 0.9283667 |
| 80% | 0.9712000 | 0.2931034 | 0.9956486 | 0.9464979 |
| Missingness under MNAR | ||||
| Percentage Missing | Accuracy | Sensitivity | Specificity | AUC |
| Original Complete Data | 0.9726 | 0.3058824 | 0.9960663 | 0.9510306 |
| 7% | 0.9718000 | 0.2500000 | 0.9962779 | 0.9378383 |
| 10% | 0.9736000 | 0.3154762 | 0.9964818 | 0.9423608 |
| 30% | 0.9738000 | 0.3372781 | 0.9960671 | 0.9418557 |
| 50% | 0.9736000 | 0.2926829 | 0.9966915 | 0.9283667 |
| 80% | 0.9712000 | 0.2937853 | 0.9960605 | 0.9338375 |
| Missingness under MCAR | ||||
| Percentage Missing | Accuracy | Sensitivity | Specificity | AUC |
| Original Complete Data | 0.9726 | 0.3058824 | 0.9960663 | 0.9510306 |
| 7% |
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| 10% |
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| 30% |
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| 50% |
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| 80% |
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