VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 86% Sens / 84% Spec / 10% Prevalence
With 86% sensitivity, 84% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 37.4%.
Bayes Theorem: PPV = TP / (TP + FP) = (86% × 10%) / [(86% × 10%) + (16% × 90%)] = 37.4%.
FAQ: What is the PPV when sensitivity is 86%, specificity is 84%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 37.4%, meaning 62.6% of positive results at 10% prevalence are false positives.