Encyclopedia of Clinical Neuropsychology

Living Edition
| Editors: Jeffrey Kreutzer, John DeLuca, Bruce Caplan

Positive Predictive Power

  • Grant L. IversonEmail author
Living reference work entry

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DOI: https://doi.org/10.1007/978-3-319-56782-2_1234-3



Positive predictive value (PPV) represents the probability that a person has a disease or condition given a positive test result. That is, it is the proportion of individuals with positive test results who are correctly identified or diagnosed. It is a critical diagnostic statistic because it reflects the accuracy with which a test can identify a disease or condition. In a population, it can be defined as the number of true positives divided by the sum of true positives and false positives. PPV is related to the sensitivity and specificity of the test. Sensitivity refers to the true positive rate for people with a disease or condition having a positive test result. Specificity refers to the true negative rate for healthy people having a negative test result. The relation among these terms is illustrated in Fig. 1.
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References and Readings

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Physical Medicine and RehabilitationSpaulding Rehabilitation Hospital, Harvard Medical SchoolCharlestownUSA