It's 2021! Time for a crash course in four terms that I often see mixed up when people talk about testing: sensitivity, specificity, positive predictive value, negative predictive value.
These terms help us talk about how accurate a test is, but from different viewpoints. 1/
A test that is very *specific* will be very good at accurately ruling out infection in people who are not infected. 3/
Of the 10 people infected, 8 test + (true +), 2 test - (false -).
Of the 90 people uninfected, 89 test - (true -), 1 tests + (false +). 7/
The test's positive predictive value is true positives/(true positives + false positives): 8/9, or 88.9%. It's the proportion of positives, out of all the positives, that were accurate. 10/
More from Education
Chicago Public Schools are supposed to open for some special needs and pre-K students Monday
The Chicago Teachers Union is now threatening to refuse to return to work in person.
https://t.co/MgDgNe6REj
Meanwhile
https://t.co/FIij8J3r7z
Dr. Fauci: "The default position should be to try as best as possible within reason to keep the children in school or to get them back to school [...] if you look at the data the spread among children and from children is not really big at
UNICEF: "Data from 191 countries shows no consistent link between reopening schools and increased rates of coronavirus
The Chicago Teachers Union is now threatening to refuse to return to work in person.
https://t.co/MgDgNe6REj
Meanwhile
https://t.co/FIij8J3r7z
Dr. Fauci: "The default position should be to try as best as possible within reason to keep the children in school or to get them back to school [...] if you look at the data the spread among children and from children is not really big at
UNICEF: "Data from 191 countries shows no consistent link between reopening schools and increased rates of coronavirus
