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A screening test classifies true positives, false positives, true negatives, and false negatives. Which one(s) do...

A screening test classifies true positives, false positives, true negatives, and false negatives. Which one(s) do we want the value(s) high and which one(s) do we want the value(s) low?

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Sensitivity is the proportion of all patients with the disease (true positives+false negatives) who indeed have a positive test result (true positives). However, a high sensitivityalone does not make a test a good test. The test also needs to be negative for all those without the disease.The more sensitive a test, the less likely an individual with a negative test will have the disease and thus the greater the negative predictive value. ... When the prevalence of preclinical disease is low, the positive predictive value will also be low, even using a test with high sensitivity and specificity.

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