Table 3. Overall sensitivity, specificity, and correct classification for each DEFAB cut-off point.
Cut-point | Sensitivity | Specificity | Correctly classified | LR (+) | LR (−) | d-OR |
---|---|---|---|---|---|---|
(>=0) | 100.00% | 0.00% | 4.88% | 1.000 | — | |
(>=1) | 95.95% | 25.57% | 29.00% | 1.289 | 0.159 | 8.11 |
(>=2) | 88.51% | 44.70% | 46.84% | 1.601 | 0.257 | 6.23 |
(>=3) | 81.76% | 50.28% | 51.81% | 1.644 | 0.363 | 4.53 |
(>=4) | 79.05% | 52.56% | 53.86% | 1.667 | 0.399 | 4.18 |
(>=5) | 67.57% | 74.43% | 74.09% | 2.642 | 0.436 | 6.06 |
(>=6) | 43.24% | 92.38% | 89.98% | 5.673 | 0.614 | 9.24 |
(>=7) | 16.22% | 96.92% | 92.98% | 5.258 | 0.865 | 6.08 |
(>=8) | 8.78% | 99.27% | 94.86% | 12.071 | 0.919 | 13.13 |
(>=9) | 3.38% | 99.90% | 95.19% | 32.510 | 0.967 | 33.62 |
(>9) | 0% | 100.0% | 95.12% | 1.000 | — |
ROC Area=0.769, 95% CI (0.730–809).
LR (+)=Likelihood ratio (+ve)=Pr (+ve∣+ve)/Pr (+ve∣−ve).
LR (−)=Likelihood ratio (−ve)=Pr (−ve∣+ve)/Pr (−ve∣−ve).
d-OR=diagnostic odds ratio=LR (+)/LR (−).