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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—when your result is positive, but you aren’t actually infected with the SARS-CoV-2 virus—are a real, if unlikely, possibility, especially if you don’t perform ...

  3. 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.

  4. 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.

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

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

    A scientific analysis published in The BMJ in 2021 notes that these tests “produce very few false positive results” and a lot of the accuracy surrounding them depends on factors like how well ...

  6. Pre- and post-test probability - Wikipedia

    en.wikipedia.org/wiki/Pre-_and_post-test_probability

    In the diagram above, this positive post-test probability, that is, the posttest probability of a target condition given a positive test result, is calculated as: Positive posttest probability = True positives / (True positives + False positives) Similarly: The post-test probability of disease given a negative result is calculated as:

  7. Positive and negative predictive values - Wikipedia

    en.wikipedia.org/wiki/Positive_and_negative...

    The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.

  8. Likelihood ratios in diagnostic testing - Wikipedia

    en.wikipedia.org/wiki/Likelihood_ratios_in...

    Here "T+" or "T−" denote that the result of the test is positive or negative, respectively. Likewise, "D+" or "D−" denote that the disease is present or absent, respectively. So "true positives" are those that test positive (T+) and have the disease (D+), and "false positives" are those that test positive (T+) but do not have the disease (D ...

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

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

    The drama surrounding the hosts' exit naturally raises some questions about how common it is to get a false-positive result from a COVID-19 test. It's important to note that there are different ...