VITAL DX v4.0 • VERIFIED QUANTITATIVE BRIEFING
Bayesian Positive Predictive Value: 90% Sens / 86% Spec / 10% Prevalence
With 90% sensitivity, 86% specificity, and 10% disease prevalence, the Positive Predictive Value (PPV) of a positive test is 41.7%.
Bayes Theorem: PPV = TP / (TP + FP) = (90% × 10%) / [(90% × 10%) + (14% × 90%)] = 41.7%.
FAQ: What is the PPV when sensitivity is 90%, specificity is 86%, and prevalence is 10%?
The Positive Predictive Value (PPV) is 41.7%, meaning 58.3% of positive results at 10% prevalence are false positives.