VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 82% Sens / 88% Spec / 2% Prevalence
With 82% sensitivity, 88% specificity, and 2% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 12.2%.
Bayes Theorem: PPV = TP / (TP + FP) = (82% × 2%) / [(82% × 2%) + (12% × 98%)] = 12.2%.
FAQ: What is the PPV when sensitivity is 82%, specificity is 88%, and prevalence is 2%?
The Positive Predictive Value (PPV) is 12.2%, meaning 87.8% of positive results at 2% prevalence are false positives.