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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. ... meaning they have a high accuracy rate. According to a 2021 study, at-home antigen ...

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

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

    Accuracy varies among each test, but Ellume says that its test has a 96 percent accuracy rate in detecting symptomatic cases of COVID-19 and 91 percent accuracy in detecting asymptomatic cases ...

  4. Should You Use an Expired COVID Test? The Answer Might ... - AOL

    www.aol.com/lifestyle/expired-covid-tests-still...

    The FDA has a list online of authorized home COVID-19 tests, along with links to “updated expiration dates” so you can check to see if your test’s expiration date has been extended.

  5. 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]

  6. 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.

  7. Base rate fallacy - Wikipedia

    en.wikipedia.org/wiki/Base_rate_fallacy

    The test has a false positive rate of 5% (0.05) and a false negative rate of zero. The expected outcome of the 1,000 tests on population A would be: Infected and test indicates disease (true positive) 1000 × ⁠ 40 / 100 ⁠ = 400 people would receive a true positive Uninfected and test indicates disease (false positive)

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

    www.aol.com/finance/why-covid-symptoms-negative...

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

  9. Bayes' theorem - Wikipedia

    en.wikipedia.org/wiki/Bayes'_theorem

    If all 1,000 take the test, 82 of those with the disease will get a true positive result (sensitivity of 90.1%), 9 of those with the disease will get a false negative result (false negative rate of 9.9%), 827 of those without the disease will get a true negative result (specificity of 91.0%), and 82 of those without the disease will get a false ...