VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 82% Sens / 84% Spec / 10% Prevalence
With 82% sensitivity, 84% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 36.3%.
Bayes Theorem: PPV = TP / (TP + FP) = (82% × 10%) / [(82% × 10%) + (16% × 90%)] = 36.3%.
FAQ: What is the PPV when sensitivity is 82%, specificity is 84%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 36.3%, meaning 63.7% of positive results at 10% prevalence are false positives.