as you said:
for those trying to understand, like me, i found this link (hopefully) useful: https://www.statisticshowto.com/sensitivity-vs-specificity-statistics/#:~:text=In general, high sensitivity tests,80%) and low specificity.
High sensitivity/low specificity example
In general, high sensitivity tests have low specificity. In other words, they are good for catching actual cases of the disease but they also come with a fairly high rate of false positives. Mammograms are an example of a test that generally has a high sensitivity (about 70-80%) and low specificity. The sensitivity depends on tumor size, patient age and other factors. According to Cancer.gov, the test also comes with a fairly high false-positive rate: half of women who get annual mammograms each year for 10 years in the United States will experience a false-positive result.
Low sensitivity/high specificity example
An example of this type of test is the nitrate dipstick test used to test for urinary tract infections in hospitalized patients (e.g. 27% sensitive, 94% specific).
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