VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 92% Sens / 98% Spec / 10% Prevalence
With 92% sensitivity, 98% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 83.6%.
Bayes Theorem: PPV = TP / (TP + FP) = (92% × 10%) / [(92% × 10%) + (2% × 90%)] = 83.6%.
FAQ: What is the PPV when sensitivity is 92%, specificity is 98%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 83.6%, meaning 16.4% of positive results at 10% prevalence are false positives.