VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 96% Sens / 86% Spec / 10% Prevalence
With 96% sensitivity, 86% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 43.2%.
Bayes Theorem: PPV = TP / (TP + FP) = (96% × 10%) / [(96% × 10%) + (14% × 90%)] = 43.2%.
FAQ: What is the PPV when sensitivity is 96%, specificity is 86%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 43.2%, meaning 56.8% of positive results at 10% prevalence are false positives.