VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 86% Sens / 86% Spec / 2% Prevalence
With 86% sensitivity, 86% specificity, and 2% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 11.1%.
Bayes Theorem: PPV = TP / (TP + FP) = (86% × 2%) / [(86% × 2%) + (14% × 98%)] = 11.1%.
FAQ: What is the PPV when sensitivity is 86%, specificity is 86%, and prevalence is 2%?
The Positive Predictive Value (PPV) is 11.1%, meaning 88.9% of positive results at 2% prevalence are false positives.