# 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.

## Worked example

## Definition

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>

## Related Chapters

## References

- ↑ Altman DG, Bland JM (1994). "Diagnostic Tests 2 - Predictive Values".
*British Medical Journal*.**309**(6947): 102. Unknown parameter`|month=`

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