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We often evaluate positive and negative predictive value since we usually don’t actually
know whether the individual has the disease or not. Therefore, positive and negative
predictive values are more valuable in terms of the diagnostic algorithm of disease,
whereby we initially conduct a clinical evaluation and then follow-up with a confirmatory
examination (Knapp and Miller, 1992).
- Predictive Value Positive:“ . . . probability that an individual with a positive test result has the disease. It is also the proportion of diseased individuals in the population of individuals with a positive test result. PVP is also known as the posterior probability, positive predictive value or posttest probability or disease” (Knapp and Miller, 1992).
- Formula:P (D + / T +) OR A / (A + B)