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

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    In the most basic sense, there are four possible outcomes for a COVID-19 test, whether it’s molecular PCR or rapid antigen: true positive, true negative, false positive, and false negative.

  3. Is your at-home COVID-19 test real? Know how to spot the ...

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    A study published in the Cochran Library found that at-home rapid tests have a 60% to 85% accuracy rate, depending on the test. They are more accurate for people with symptoms, about 72%, than for ...

  4. Why you have COVID symptoms and a negative test: You ... - AOL

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    If you test negative using an at-home test, repeat the test again in 48 hours. If you were exposed to COVID, test at least 5 full days after exposure. If you still test negative, wait 48 more ...

  5. Got a Faint Line on a COVID-19 Home Test? Here's What ... - AOL

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    A false positive isn't as likely as a false negative result on a home test early in a person's infection, explains Sandra H. Bonat, M.D., a pediatric expert and virologist with VIP StarNetwork, a ...

  6. COVID-19 testing - Wikipedia

    en.wikipedia.org/wiki/COVID-19_testing

    Accuracy is measured in terms of specificity and selectivity. Test errors can be false positives (the test is positive, but the virus is not present) or false negatives, (the test is negative, but the virus is present). [179] In a study of over 900,000 rapid antigen tests, false positives were found to occur at a rate of 0.05% or 1 in 2000. [180]

  7. COVID-19 rapid antigen test - Wikipedia

    en.wikipedia.org/wiki/COVID-19_rapid_antigen_test

    Also in October 2021, Ellume recalled more than 2.2 million of its home tests because of "higher-than-acceptable false positive test results for SARS-CoV-2". [91] In December 2021, US president Biden announced that the government planned to purchase and distribute for free 500 million at-home COVID-19 RATs. [92]

  8. FDA recommends repeated at-home COVID tests after false ... - AOL

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  9. 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.

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