VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 86% Sens / 80% Spec / 10% Prevalence
With 86% sensitivity, 80% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 32.3%.
Bayes Theorem: PPV = TP / (TP + FP) = (86% × 10%) / [(86% × 10%) + (20% × 90%)] = 32.3%.
FAQ: What is the PPV when sensitivity is 86%, specificity is 80%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 32.3%, meaning 67.7% of positive results at 10% prevalence are false positives.