VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 96% Sens / 92% Spec / 10% Prevalence
With 96% sensitivity, 92% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 57.1%.
Bayes Theorem: PPV = TP / (TP + FP) = (96% × 10%) / [(96% × 10%) + (8% × 90%)] = 57.1%.
FAQ: What is the PPV when sensitivity is 96%, specificity is 92%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 57.1%, meaning 42.9% of positive results at 10% prevalence are false positives.