VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 94% Sens / 84% Spec / 10% Prevalence
With 94% sensitivity, 84% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 39.5%.
Bayes Theorem: PPV = TP / (TP + FP) = (94% × 10%) / [(94% × 10%) + (16% × 90%)] = 39.5%.
FAQ: What is the PPV when sensitivity is 94%, specificity is 84%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 39.5%, meaning 60.5% of positive results at 10% prevalence are false positives.