VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 86% Sens / 82% Spec / 2% Prevalence
With 86% sensitivity, 82% specificity, and 2% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 8.9%.
Bayes Theorem: PPV = TP / (TP + FP) = (86% × 2%) / [(86% × 2%) + (18% × 98%)] = 8.9%.
FAQ: What is the PPV when sensitivity is 86%, specificity is 82%, and prevalence is 2%?
The Positive Predictive Value (PPV) is 8.9%, meaning 91.1% of positive results at 2% prevalence are false positives.