VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 86% Sens / 92% Spec / 10% Prevalence
With 86% sensitivity, 92% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 54.4%.
Bayes Theorem: PPV = TP / (TP + FP) = (86% × 10%) / [(86% × 10%) + (8% × 90%)] = 54.4%.
FAQ: What is the PPV when sensitivity is 86%, specificity is 92%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 54.4%, meaning 45.6% of positive results at 10% prevalence are false positives.