VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 86% Sens / 94% Spec / 10% Prevalence
With 86% sensitivity, 94% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 61.4%.
Bayes Theorem: PPV = TP / (TP + FP) = (86% × 10%) / [(86% × 10%) + (6% × 90%)] = 61.4%.
FAQ: What is the PPV when sensitivity is 86%, specificity is 94%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 61.4%, meaning 38.6% of positive results at 10% prevalence are false positives.