VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 94% Sens / 80% Spec / 10% Prevalence
With 94% sensitivity, 80% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 34.3%.
Bayes Theorem: PPV = TP / (TP + FP) = (94% × 10%) / [(94% × 10%) + (20% × 90%)] = 34.3%.
FAQ: What is the PPV when sensitivity is 94%, specificity is 80%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 34.3%, meaning 65.7% of positive results at 10% prevalence are false positives.