Training Sample (n = 314) | Validation Sample (n = 313) | |
---|---|---|
C-index (95%CI) | 0.85 (0.81, 0.89) | 0.86 (0.82, 0.90) |
Calibration | a = −0.02, b = 1.02 | a = −0.02, b = 1.06 |
Cutoff point = 10 | ||
Sensitivity (%, 95CI) | 97.8 (95.3, 99.5) | 100.0 (−) |
Specificity (%, 95CI) | 24.8 (18.2, 32.6) | 27.7 (20.2, 34.9) |
Positive likelihood ratio (95%CI) | 1.30 (1.20, 1.46) | 1.38 (1.25, 1.54) |
Negative likelihood ratio (95%CI) | 0.09 (0.02, 0.20) | 0.0 (−) |
Positive predictive value (%, 95CI) | 61.2 (55.9, 67.0) | 62.6 (56.8, 68.6) |
Negative predictive value (%, 95CI) | 90.2 (79.2, 97.7) | 100.0 (−) |
Cutoff point = 20 | ||
Sensitivity (%, 95CI) | 39.6 (32.0, 46.2) | 34.8 (27.8, 42.1) |
Specificity (%, 95CI) | 96.6 (92.9, 99.2) | 97.3 (94.2, 100.0) |
Positive likelihood ratio (95%CI) | 12.0 (5.49, 48.9) | 12.6 (5.44, 48.8) |
Negative likelihood ratio (95%CI) | 0.63 (0.55, 0.71) | 0.67 (0.59, 0.75) |
Positive predictive value (%, 95CI) | 93.3 (86.5, 98.4) | 93.9 (86.6, 100.0) |
Negative predictive value (%, 95CI) | 56.9 (50.8, 62.9) | 55.2 (48.8, 61.4) |