Predictive values use Bayes' theorem along with a pre-test prior probability (such as the prevalence of the condition in the population) and the sensitivity and specificity of the test to compute the post-test probability (predictive value).
The positive predictive value is the probability that a subject has the condition given a positive test result; the negative predictive value is the probability that a subject does not have the condition given a negative test result.
From the Statistical Reference Guide for Analyse-it 6.24.0: https://analyse-it.com/docs/user-guide/diagnostic-performance/predictive-value
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