Negative Predictive Value (NPV)

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A Negative Predictive Value (NPV) is a predictive value based on the proportions of positive and negative results that are true negative results.



References

2015

  • (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/positive_and_negative_predictive_values Retrieved:2015-5-17.
    • The positive and negative predictive values (PPV and NPV respectively) are the proportions of positive and negative results in statistics and diagnostic tests that are true positive and true negative results. The PPV and NPV describe the performance of a diagnostic test or other statistical measure. A high result can be interpreted as indicating the accuracy of such a statistic. The PPV and NPV are not intrinsic to the test; they depend also on the prevalence. The PPV can be derived using Bayes' theorem.

      Although sometimes used synonymously, a positive predictive value generally refers to what is established by control groups, while a post-test probability refers to a probability for an individual. Still, if the individual's pre-test probability of the target condition is the same as the prevalence in the control group used to establish the positive predictive value, the two are numerically equal.

      In information retrieval, the PPV statistic is often called the precision.

2011

2002