VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 86% Sens / 90% Spec / 10% Prevalence
With 86% sensitivity, 90% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 48.9%.
Bayes Theorem: PPV = TP / (TP + FP) = (86% × 10%) / [(86% × 10%) + (10% × 90%)] = 48.9%.
FAQ: What is the PPV when sensitivity is 86%, specificity is 90%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 48.9%, meaning 51.1% of positive results at 10% prevalence are false positives.