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  2. 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.

  3. 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.

  4. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    The ratio of false positives (identifying an innocent traveler as a terrorist) to true positives (detecting a would-be terrorist) is, therefore, very high; and because almost every alarm is a false positive, the positive predictive value of these screening tests is very low.

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

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

    “False positives are more commonly seen with PCR tests because of the test’s ability to detect dead virus particles weeks after the initial infection,” he says. “If someone still tests ...

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

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

    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 ...

  7. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    False positive: Healthy people incorrectly identified as sick; True negative: Healthy people correctly identified as healthy; False negative: Sick people incorrectly identified as healthy; After getting the numbers of true positives, false positives, true negatives, and false negatives, the sensitivity and specificity for the test can be ...

  8. 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.

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

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

    The probability for false positives varies by each type of home test, but Ellume specifically says on its online FAQs that "there is a chance that this test can give a positive result that is ...

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