Negative predictive value

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

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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

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