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2. What Really Causes a False Positive COVID-19 Test? Experts ...

   www.aol.com/false-positive-covid-19-test...

   False positive COVID-19 tests occur when you don’t have the novel coronavirus, but the test is positive. Experts explain how and why false positives happen. ... The false positive rate on rapid ...

3. How common are false-positive COVID tests? Experts weigh in.

   www.aol.com/lifestyle/common-false-positive...

   CO-HOSTS ADDRESS FALSE POSITIVE COVID-19 RESULTS: ... However, one study found that the false-negative rate can be as high as 20 percent when a person is tested five days after developing symptoms ...

4. Are False Positive Covid Tests Common? Doctors Explain. - AOL

   www.aol.com/false-positive-covid-tests-common...

   A false positive Covid-19 test result can happen, but it’s rare, says Brian Labus, Ph.D., M.P.H., assistant professor at the University of Nevada Las Vegas School of Public Health.

5. Type I and type II errors - Wikipedia

   en.wikipedia.org/wiki/Type_I_and_type_II_errors

   One consequence of the high false positive rate in the US is that, in any 10-year period, half of the American women screened receive a false positive mammogram. False positive mammograms are costly, with over $100 million spent annually in the U.S. on follow-up testing and treatment. They also cause women unneeded anxiety.

6. Base rate fallacy - Wikipedia

   en.wikipedia.org/wiki/Base_rate_fallacy

   An example of the base rate fallacy is the false positive paradox (also known as accuracy paradox). This paradox describes situations where there are more false positive test results than true positives (this means the classifier has a low precision). For example, if a facial recognition camera can identify wanted criminals 99% accurately, but ...

7. False positives and false negatives - Wikipedia

   en.wikipedia.org/wiki/False_positives_and_false...

   The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.

8. False positive rate - Wikipedia

   en.wikipedia.org/wiki/False_positive_rate

   The false positive rate is calculated as the ratio between the number of negative events wrongly categorized as positive (false positives) and the total number of actual negative events (regardless of classification). The false positive rate (or "false alarm rate") usually refers to the expectancy of the false positive ratio.

9. NFL: N.J. lab linked to 77 false positive coronavirus tests ...

   www.aol.com/article/news/2020/08/23/nfl-teams...

   Of 77 people who initially tested positive for the coronavirus, all retests came back negative after New Jersey lab investigated. NFL: N.J. lab linked to 77 false positive coronavirus tests [Video ...