Negative predictive value

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

Overview

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

Definition

The Negative Predictive Value can be defined as:

<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>

Related Chapters

• Positive predictive value
• Binary classification