VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 82% Sens / 86% Spec / 10% Prevalence
With 82% sensitivity, 86% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 39.4%.
Bayes Theorem: PPV = TP / (TP + FP) = (82% × 10%) / [(82% × 10%) + (14% × 90%)] = 39.4%.
FAQ: What is the PPV when sensitivity is 82%, specificity is 86%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 39.4%, meaning 60.6% of positive results at 10% prevalence are false positives.