From: Three myths about risk thresholds for prediction models
Threshold | Sensitivity (95% CI) | Specificity (95% CI) | Positive predictive value (95% CI) | Negative predictive value (95% CI) |
---|---|---|---|---|
0.1% | 1.00 (1.00–1.00) | 0.00 (0.00–0.01) | 0.41 (0.39–0.43) | 1.00 (0.40–1.00) |
6% (Utility-based for costs in Table 4) | 0.98 (0.97–0.99) | 0.61 (0.59–0.64) | 0.64 (0.61–0.66) | 0.98 (0.96–0.98) |
10% | 0.97 (0.95–0.98) | 0.70 (0.67–0.72) | 0.69 (0.66–0.71) | 0.97 (0.96–0.98) |
20% | 0.93 (0.91–0.94) | 0.80 (0.78–0.82) | 0.76 (0.73–0.78) | 0.94 (0.92–0.95) |
31% (minimize misclassification) | 0.88 (0.86–0.90) | 0.85 (0.83–0.87) | 0.80 (0.78–0.83) | 0.91 (0.89–0.93) |
41% (prevalence) | 0.83 (0.80–0.85) | 0.88 (0.86–0.90) | 0.83 (0.80–0.85) | 0.88 (0.86–0.90) |
50% | 0.76 (0.74–0.79) | 0.90 (0.89–0.92) | 0.85 (0.82–0.87) | 0.85 (0.83–0.86) |
99.9% | 0.00 (0.00–0.01) | 1.00 (1.00–1.00) | 1.00 (0.02–1.00) | 0.59 (0.57–0.61) |