predictive value


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pre·dic·tive val·ue

an expression of the likelihood that a given test result correlates with the presence or absence of disease. A positive predictive value is the ratio of patients with the disease who test positive to the entire population of those with a positive test result; a negative predictive value is the ratio of patients without the disease who test negative to the entire population of those with a negative test result.

predictive value

P value Decision-making A value that predicts the likelihood that a result from a test reflects the presence or absence of a disease. Cf ROC curve.

pre·dic·tive va·lue

(prē-dik'tiv val'yū)
An expression of the likelihood that a given test result will correlate with the presence or absence of disease. A positive predictive value is the ratio of patients with the disease who test positive to the entire population of people with a positive test result; a negative predictive value is the ratio of patients without the disease who test negative to the entire population of people with a negative test result.

predictive value

a measure used by clinicians to interpret diagnostic test results. See also sensitivity, specificity.

positive predictive value
the probability that a patient with a positive test result really does have the condition for which the test was conducted.
negative predictive value
the probability that a patient with a negative test result really is free of the condition for which the test was conducted.
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