VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 92% Sens / 82% Spec / 10% Prevalence
With 92% sensitivity, 82% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 36.2%.
Bayes Theorem: PPV = TP / (TP + FP) = (92% × 10%) / [(92% × 10%) + (18% × 90%)] = 36.2%.
FAQ: What is the PPV when sensitivity is 92%, specificity is 82%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 36.2%, meaning 63.8% of positive results at 10% prevalence are false positives.