Re:Half of women will get a false positive 3D mammogram, stu...
by cortesoft on Friday March 25, 2022 @02:35PM
(#30805621)
That is how tests are described in scientific circles, but not with the general public. An overall `accuracy` number is usually given.
Re:Half of women will get a false positive 3D mammogram, stu...
by amelius on Friday March 25, 2022 @07:08PM
(#30807862)
Perhaps multiply sensitivity by specificity then, to get a single number that the public can use?
Re:Half of women will get a false positive 3D mammogram, stu...
by thaumasiotes on Friday March 25, 2022 @08:07PM
(#30808149)
That's not a number the public can use. What would it be supposed to mean?
Re:Half of women will get a false positive 3D mammogram, stu...
by amelius on Friday March 25, 2022 @10:23PM
(#30808754)
A fuzzy AND of sensitivity and specificity. Another option is to take the minimum (part of the Zadeh operators).
Re:Half of women will get a false positive 3D mammogram, stu...
by cortesoft on Saturday March 26, 2022 @12:43AM
(#30809290)
The point isn’t that you can’t create a single number that can represent the effectiveness, just that you can’t get a single number that the public will understand. People have enough trouble with simple percentages.
Re:Half of women will get a false positive 3D mammogram, stu...
by lordnacho on Friday March 25, 2022 @04:41PM
(#30806838)
You can combine them in an F1 score. Seems like a reasonable way to get a single number, though there might be some drawbacks I haven't thought of.
Re:Half of women will get a false positive 3D mammogram, stu...
by thaumasiotes on Friday March 25, 2022 @08:09PM
(#30808158)
It looks like an F1 score is calculated from precision and recall. Sensitivity and recall are the same thing, but precision and specificity are different things.
Precision is not a good way to describe a test because, as I mentioned elsewhere, it relies on information about the population being tested.
A test that is always negative has 0% sensitivity and 100% specificity. Nobody thinks that sounds good.