VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 86% Sens / 96% Spec / 2% Prevalence
With 86% sensitivity, 96% specificity, and 2% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 30.5%.
Bayes Theorem: PPV = TP / (TP + FP) = (86% × 2%) / [(86% × 2%) + (4% × 98%)] = 30.5%.
FAQ: What is the PPV when sensitivity is 86%, specificity is 96%, and prevalence is 2%?
The Positive Predictive Value (PPV) is 30.5%, meaning 69.5% of positive results at 2% prevalence are false positives.