VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 98% Sens / 92% Spec / 10% Prevalence
With 98% sensitivity, 92% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 57.6%.
Bayes Theorem: PPV = TP / (TP + FP) = (98% × 10%) / [(98% × 10%) + (8% × 90%)] = 57.6%.
FAQ: What is the PPV when sensitivity is 98%, specificity is 92%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 57.6%, meaning 42.4% of positive results at 10% prevalence are false positives.