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Table 5 Classification statistics for a selection of thresholds

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)