VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 94% Sens / 86% Spec / 10% Prevalence
With 94% sensitivity, 86% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 42.7%.
Bayes Theorem: PPV = TP / (TP + FP) = (94% × 10%) / [(94% × 10%) + (14% × 90%)] = 42.7%.
FAQ: What is the PPV when sensitivity is 94%, specificity is 86%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 42.7%, meaning 57.3% of positive results at 10% prevalence are false positives.