Negative predictive value

Assistant Editor(s)-In-Chief: Kristin Feeney, B.S.

The negative predictive value is the proportion of individuals without preclinical disease who test negative using the specified testing modality.

Template:SensSpecPPVNPV

The Negative Predictive Value can be defined as:^[1]

<math> NPV = \frac{\rm number\ of\ True\ Negatives}{{\rm number\ of\ True\ Negatives}+{\rm number\ of\ False\ Negatives}}</math>

or, alternatively,

<math> NPV = \frac{({\rm specficity}) ({\rm 1 – prevalence})}{({\rm specificity}) ({\rm 1 – prevalence}) + (1 – {\rm sensitivity}) ({\rm prevalence})} </math>

• Positive predictive value
• Binary classification

Template:WH Template:WS