Table 4.
Sensitivity, specificity, and accuracy with 95% confidence intervals for logistic regression and random forest models for subjects with non-missing values for all 16 endophenotypes (n = 571).
Classify as Proband when Model Probability > 0.5 |
Classify as Proband when Model Probability > 0.3 |
||||||
---|---|---|---|---|---|---|---|
Model | Sensitivity (%) |
Specificity (%) |
Accuracy (%) |
Sensitivity (%) |
Specificity (%) |
Accuracy (%) |
Somer’s Dxy Raw (Adjusted) |
LR 16 EPs |
70 (62, 78) | 91 (88, 95) | 85 (82, 88) | 88 (82, 94) | 86 (82, 90) | 86 (84, 89) | 0.85 (0.80) |
LR Top EPs |
66 (58, 74) | 92 (89, 95) | 84 (81, 87) | 85 (78, 91) | 85 (81, 89) | 85 (82, 88) | 0.81 (0.79) |
RF 16 EPs |
56 (48, 65) | 92 (90, 95) | 76 (73, 80) | 81 (74, 88) | 74 (69, 79) | 81 (78, 85) | 0.72 |