VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 96% Sens / 86% Spec / 2% Prevalence
With 96% sensitivity, 86% specificity, and 2% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 12.3%.
Bayes Theorem: PPV = TP / (TP + FP) = (96% × 2%) / [(96% × 2%) + (14% × 98%)] = 12.3%.
FAQ: What is the PPV when sensitivity is 96%, specificity is 86%, and prevalence is 2%?
The Positive Predictive Value (PPV) is 12.3%, meaning 87.7% of positive results at 2% prevalence are false positives.