VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 82% Sens / 82% Spec / 10% Prevalence
With 82% sensitivity, 82% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 33.6%.
Bayes Theorem: PPV = TP / (TP + FP) = (82% × 10%) / [(82% × 10%) + (18% × 90%)] = 33.6%.
FAQ: What is the PPV when sensitivity is 82%, specificity is 82%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 33.6%, meaning 66.4% of positive results at 10% prevalence are false positives.