5 ms·
The problem in such cases is the prior. If a false positive is 10%, 1%, 0.1% or 0.01% makes a huge difference. With 0.01% and two different tests, you will get
by xorfish 7y ago
The problem in such cases is the prior. If a false positive is 10%, 1%, 0.1% or 0.01% makes a huge difference. With 0.01% and two different tests, you will get a false positive in every 100'000'000 tests. Testing twice solves many of the issues. It also gives information about the sensitivity and specificity of a test.
- wahern 7y ago> With 0.01% and two different tests, you will get a false positive in every 100'000'000 tests. That doesn't sound right to me (i.e. only the case if false positive distributions are independent and uncorrelated, which seems unlikely), but I don't know enough about statistics and epidemiology to dispute it.