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FIGURE 7–1. Impact of prevalence rates on predictive value positive and predictive value negative.The predictive value positive (PVP) is the percentage of individuals identified as being a "case" who truly have the disorder. The predictive value negative (PVN) is the percentage of individuals identified as being a "noncase" who truly do not have the disorder. False positives are more likely with disorders that have low prevalence rates in the population. This simulation is based on a population of 1,000 individuals, using an assessment with 95% specificity and 95% sensitivity.

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