VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 84% Sens / 84% Spec / 10% Prevalence
With 84% sensitivity, 84% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 36.8%.
Bayes Theorem: PPV = TP / (TP + FP) = (84% × 10%) / [(84% × 10%) + (16% × 90%)] = 36.8%.
FAQ: What is the PPV when sensitivity is 84%, specificity is 84%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 36.8%, meaning 63.2% of positive results at 10% prevalence are false positives.