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.
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Famous quotes containing the word negative:
“The working woman may be quick to see any problems with children as her fault because she isn’t as available to them. However, the fact that she is employed is rarely central to the conflict. And overall, studies show, being employed doesn’t have negative effects on children; carefully done research consistently makes this clear.”
—Grace Baruch (20th century)