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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)