Difference between revisions of "Positive predictive value and negative predictive value"

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'''Positive predictive value''' (abbreviated '''PPV''') and '''negative predictive value''' (abbreviated '''NPV''') are statistical descriptors of diagnostic tests that depend on the prevalence.
'''Positive predictive value''' (abbreviated '''PPV''') and '''negative predictive value''' (abbreviated '''NPV''') are statistical descriptors of diagnostic tests that depend on the prevalence.
==Positive predictive value==
<br>
:<math>PPV = \frac{TP}{TP+FP}</math>
Where:
*TP = true positives.
*FP = false positives.
==Negative predictive value==
<br>
:<math>NPV = \frac{TN}{TN+FN}</math>
Where:
*TN = true negatives.
*FN = false negatives.


==See also==
==See also==

Revision as of 14:10, 15 September 2017

Positive predictive value (abbreviated PPV) and negative predictive value (abbreviated NPV) are statistical descriptors of diagnostic tests that depend on the prevalence.

Positive predictive value


Where:

  • TP = true positives.
  • FP = false positives.

Negative predictive value


Where:

  • TN = true negatives.
  • FN = false negatives.

See also

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