VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 86% Sens / 98% Spec / 10% Prevalence
With 86% sensitivity, 98% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 82.7%.
Bayes Theorem: PPV = TP / (TP + FP) = (86% × 10%) / [(86% × 10%) + (2% × 90%)] = 82.7%.
FAQ: What is the PPV when sensitivity is 86%, specificity is 98%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 82.7%, meaning 17.3% of positive results at 10% prevalence are false positives.