In statistics and diagnostic testing, the **negative predictive value** (NPV) is a summary statistic used to describe the performance of a diagnostic testing procedure. It is defined as the proportion of subjects with a negative test result who are correctly diagnosed. A high NPV for a given test means that when the test yields a negative result, it is most likely correct in its assessment. In the familiar context of medical testing, a high NPV means that the test only rarely misclassifies a sick person as being healthy. Note that this says nothing about the tendency of the test to mistakenly classify a healthy person as being sick.

Read more about Negative Predictive Value: Definition, Worked Example, Relation To Negative Post-test Probability

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**Negative Predictive Value**- Relation To Negative Post-test Probability

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### Famous quotes containing the word negative:

“Mothers often are too easily intimidated by their children’s *negative* reactions...When the child cries or is unhappy, the mother reads this as meaning that she is a failure. This is why it is so important for a mother to know...that the process of growing up involves by definition things that her child is not going to like. Her job is not to create a bed of roses, but to help him learn how to pick his way through the thorns.”

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