VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 80% Sens / 92% Spec / 10% Prevalence
With 80% sensitivity, 92% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 52.6%.
Bayes Theorem: PPV = TP / (TP + FP) = (80% × 10%) / [(80% × 10%) + (8% × 90%)] = 52.6%.
FAQ: What is the PPV when sensitivity is 80%, specificity is 92%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 52.6%, meaning 47.4% of positive results at 10% prevalence are false positives.