Positive and negative predictive values

Positive predictive value is the proportion of patients with positive test results who are correctly diagnosed. Negative predictive value is the proportion of patients with negative test results who are correctly diagnosed.

- Altman and Bland: Diagnostic tests 2: predictive values

Positive and negative predictive values (PPV and NPV) are true positive and true negative results of a diagnostic test, respectively. In other words, if a subject receives a certain diagnosis by a test, predictive values describe how likely it is for the diagnosis to be correct. Learn more about PPV and NPV from:

• Positive and negative predictive values of diagnostic tests
• Sensitivity, Specificity, and Predictive Values: Foundations, Pliabilities, and Pitfalls in Research and Practice

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