VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 88% Sens / 86% Spec / 2% Prevalence
With 88% sensitivity, 86% specificity, and 2% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 11.4%.
Bayes Theorem: PPV = TP / (TP + FP) = (88% × 2%) / [(88% × 2%) + (14% × 98%)] = 11.4%.
FAQ: What is the PPV when sensitivity is 88%, specificity is 86%, and prevalence is 2%?
The Positive Predictive Value (PPV) is 11.4%, meaning 88.6% of positive results at 2% prevalence are false positives.