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  2. 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.

  3. Pre- and post-test probability - Wikipedia

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

    Likelihood ratio is calculated from sensitivity and specificity of the test, and thereby it does not depend on prevalence in the reference group, [2] and, likewise, it does not change with changed pre-test probability, in contrast to positive or negative predictive values (which would change).

  4. Predictive value of tests - Wikipedia

    en.wikipedia.org/wiki/Predictive_value_of_tests

    Predictive value of tests is the probability of a target condition given by the result of a test, [1] often in regard to medical tests.. In cases where binary classification can be applied to the test results, such yes versus no, test target (such as a substance, symptom or sign) being present versus absent, or either a positive or negative test), then each of the two outcomes has a separate ...

  5. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    Complementarily, the false negative rate (FNR) is the proportion of positives which yield negative test outcomes with the test, i.e., the conditional probability of a negative test result given that the condition being looked for is present. In statistical hypothesis testing, this fraction is given the letter β.

  6. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    Positive and negative predictive values, but not sensitivity or specificity, are values influenced by the prevalence of disease in the population that is being tested. These concepts are illustrated graphically in this applet Bayesian clinical diagnostic model which show the positive and negative predictive values as a function of the ...

  7. Is there an age limit for Cologuard through Medicare?

    www.aol.com/age-limit-cologuard-medicare...

    Cologuard refers to an at-home stool DNA test that can help screen for colon cancer or polyps.A person enrolled in Medicare aged between 45 and 85 is eligible for coverage for a Cologuard test ...

  8. Likelihood ratios in diagnostic testing - Wikipedia

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

    In fact, post-test probability, as estimated from the likelihood ratio and pre-test probability, is generally more accurate than if estimated from the positive predictive value of the test, if the tested individual has a different pre-test probability than what is the prevalence of that condition in the population.

  9. What Is the Age Limit for Medicare Coverage of Cologuard?

    www.aol.com/age-limit-medicare-coverage...

    Cologuard is an at-home colon cancer screening kit that detects changes in genetic material indicating potential cancer or polyps. Medicare covers one kit per year under Original Medicare (Parts A ...