Video - Positive and negative predictive value
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Video Summary
Positive predictive value (PPV) is a measure of the accuracy of a positive test result in a diagnostic test, calculated by dividing the number of true positives by the sum of true positives and false positives. It is used to quantify the likelihood that a person with a positive test result actually has the condition the test is designed to detect.
On the other hand, there is negative predictive value (NPV), which is a measure of the accuracy of a negative test result in a diagnostic test, calculated by dividing the number of true negatives by the sum of true negatives and false negatives. It is used to quantify the likelihood that a person with a negative test result does not have the condition the test is designed to detect.
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