VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 86% Sens / 88% Spec / 10% Prevalence
With 86% sensitivity, 88% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 44.3%.
Bayes Theorem: PPV = TP / (TP + FP) = (86% × 10%) / [(86% × 10%) + (12% × 90%)] = 44.3%.
FAQ: What is the PPV when sensitivity is 86%, specificity is 88%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 44.3%, meaning 55.7% of positive results at 10% prevalence are false positives.