VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 92% Sens / 94% Spec / 10% Prevalence
With 92% sensitivity, 94% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 63.0%.
Bayes Theorem: PPV = TP / (TP + FP) = (92% × 10%) / [(92% × 10%) + (6% × 90%)] = 63.0%.
FAQ: What is the PPV when sensitivity is 92%, specificity is 94%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 63.0%, meaning 37.0% of positive results at 10% prevalence are false positives.