VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 98% Sens / 86% Spec / 10% Prevalence
With 98% sensitivity, 86% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 43.8%.
Bayes Theorem: PPV = TP / (TP + FP) = (98% × 10%) / [(98% × 10%) + (14% × 90%)] = 43.8%.
FAQ: What is the PPV when sensitivity is 98%, specificity is 86%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 43.8%, meaning 56.2% of positive results at 10% prevalence are false positives.