Basic Sciences - Positive/Neg Predictive Value

Description

The video explains the concepts of positive predictive value (PPV) and negative predictive value (NPV) in the context of medical testing. The presenter begins by welcoming viewers to a lesson on basic sciences, specifically focusing on these two predictive values. The positive predictive value is defined as the likelihood that a patient with a positive test result actually has the disease, calculated by dividing the number of true positives by the total number of positive results (true positives plus false positives). Conversely, the negative predictive value is described as the probability that a patient with a negative test result does not have the disease, computed by dividing the number of true negatives by the total number of negative results (true negatives plus false negatives). This instructional segment emphasizes the importance of understanding these statistical measures in evaluating the accuracy of medical tests.

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