Perhaps, the following will shed a little additional light on the testing subject.
I reputable local medical practice was offering PCR (acute infection) and Anti-Body IgG/IgM serology tests by Confirm BioSciences.
Explanation of IgG vs. IgM meaning can be found at the following links:
https://www.confirmbiosciences.com/...s-testing-types-antibody-igg-igm-pcr-testing/
https://www.webmd.com/a-to-z-guides/immunoglobulin-test#1
Since my family went through a bout of bad flue in mid-Feb (before we all started paying attention to this pandemic), I took the AB-test.
The stats below provide the relevant insight into the statistical validity of the results:
View attachment 419115
The terminology is needlessly folksy.
The translation is as follows:
Sensitivity == true positive rate, or % probability to correctly identify those with the disease.
Specificity == true negative rate, or % probability to correctly identify those without the disease. A test with a higher specificity has a lower type I error rate.
https://en.wikipedia.org/wiki/Type_I_and_type_II_errors
So, for IgG, sensitivity/true positive of 97.2% means that 2.8% of the test results returned false positive.
Also for IgG,
specificity/true negative of 100% means 0.0% of the test results returned false negative.
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P.S.: It's late, so hope I got the explanation straight and sufficiently clear.