VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 86% Sens / 86% Spec / 10% Prevalence
With 86% sensitivity, 86% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 40.6%.
Bayes Theorem: PPV = TP / (TP + FP) = (86% × 10%) / [(86% × 10%) + (14% × 90%)] = 40.6%.
FAQ: What is the PPV when sensitivity is 86%, specificity is 86%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 40.6%, meaning 59.4% of positive results at 10% prevalence are false positives.