Positive predictive value and negative predictive value

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

$PPV={\frac {TP}{TP+FP}}$

Where:

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

Negative predictive value

$NPV={\frac {TN}{TN+FN}}$

Where:

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

See also

• Sensitivity.
• Specificity.
• BIRADS.