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  2. Diagnosis of HIV/AIDS - Wikipedia

    en.wikipedia.org/wiki/Diagnosis_of_HIV/AIDS

    The sensitivity rating, likewise, indicates that, in 1,000 test results of HIV infected people, 3 will actually be a false negative result. However, based upon the HIV prevalence rates at most testing centers within the United States, the negative predictive value of these tests is extremely high, meaning that a negative test result will be ...

  3. 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.

  4. HIV/AIDS denialism - Wikipedia

    en.wikipedia.org/wiki/HIV/AIDS_denialism

    In each case, the most parsimonious explanation and uniting factor – HIV positive status – is ignored, as are the thousands of studies that converge on the common conclusion that AIDS is caused by HIV infection. [5] Haemophilia is considered the best test of the HIV-AIDS hypothesis by both denialists and AIDS researchers.

  5. 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 ...

  6. OraQuick - Wikipedia

    en.wikipedia.org/wiki/OraQuick

    In a clinical study, trained professionals compared HIV test results of OraQuick In-Home HIV Test with results from laboratory testing. The study was conducted on 4,999 participants and found OraQuick testing correctly generated a negative result 4,902 times out of the 4,903 times laboratory testing generated a negative result (99.9%). [ 10 ]

  7. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    A negative result in a test with high sensitivity can be useful for "ruling out" disease, [4] since it rarely misdiagnoses those who do have the disease. A test with 100% sensitivity will recognize all patients with the disease by testing positive. In this case, a negative test result would definitively rule out the presence of the disease in a ...

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