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  2. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    In medical diagnosis, test sensitivity is the ability of a test to correctly identify those with the disease (true positive rate), whereas test specificity is the ability of the test to correctly identify those without the disease (true negative rate). If 100 patients known to have a disease were tested, and 43 test positive, then the test has ...

  3. 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 ...

  4. Seroconversion - Wikipedia

    en.wikipedia.org/wiki/Seroconversion

    An individual with a chronic infection would test positive for HBsAg and total anti-HBc (IgM and IgG), but negative for IgM anti-HBc and anti-HBs. An individual who has successfully resolved their HBV infection will test negative for HBsAg, positive for anti-HBc, and may test negative or positive for anti-HBs, although most will test positive ...

  5. Pre- and post-test probability - Wikipedia

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

    In clinical practice, post-test probabilities are often just estimated or even guessed. This is usually acceptable in the finding of a pathognomonic sign or symptom, in which case it is almost certain that the target condition is present; or in the absence of finding a sine qua non sign or symptom, in which case it is almost certain that the target condition is absent.

  6. 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 ...

  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. Blood test when people are infected ‘can predict who will ...

    www.aol.com/news/blood-test-at-infection-time...

    A simple blood test taken when people are infected with COVID-19 could predict who is likely to suffer from ‘Long COVID’, a new study has suggested.

  9. What should you do if you’re still testing positive for COVID ...

    www.aol.com/news/still-testing-positive-covid-19...

    If you test positive for COVID-19 on a rapid antigen test, you should trust that result. “If it actually is positive, that really does indicate that you are infectious and that your risk of ...