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Let’s say 1% of ppl have cancer at any given moment - So if we test a random person, there is a 1% * 50% = 0.5% chance that person is tested positive for cance
by konschubert 5y ago
Let’s say 1% of ppl have cancer at any given moment -
So if we test a random person, there is a 1% * 50% = 0.5% chance that person is tested positive for cancer because they have cancer.
And a 0.99% * 0.5% = 0.5% chance that a person is tested false positive.
This means if the test shows positive for somebody, it’s about 50-50 that they actually have cancer - correct?
- konschubert 5y agoThis is actually pretty good and could reasonably be used for screening in higher-risk populations.
- tyrex2017 5y agoCorrect. Thats why it may be a good idea to test higher risk populations or people with health issues. It could make the ratio of absolute true positives to false positives 10x better