Imagine an HIV test that is 95% accurate (false positive rate of 5%) and around 2% of the tested population is infected with HIV. What is the probability that you actually have HIV when your test comes back positive?
To read more about this, see the False Positive Paradox page on Wikipedia.
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1 Comment on "False Positive HIV Test"
T says October 19, 2018 @ 15:52
Please could someone explain the maths behind how to get to this solution?
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