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  2. Prevalence - Wikipedia

    en.wikipedia.org/wiki/Prevalence

    In science, prevalence describes a proportion (typically expressed as a percentage). For example, the prevalence of obesity among American adults in 2001 was estimated by the U. S. Centers for Disease Control (CDC) at approximately 20.9%. [5] Prevalence is a term that means being widespread and it is distinct from incidence.

  3. Rate ratio - Wikipedia

    en.wikipedia.org/wiki/Rate_ratio

    In epidemiology, a rate ratio, sometimes called an incidence density ratio or incidence rate ratio, is a relative difference measure used to compare the incidence rates of events occurring at any given point in time.

  4. Base rate - Wikipedia

    en.wikipedia.org/wiki/Base_rate

    For example, if the control group, using no treatment at all, had their own base rate of 1/20 recoveries within 1 day and a treatment had a 1/100 base rate of recovery within 1 day, we see that the treatment actively decreases the recovery. The base rate is an important concept in statistical inference, particularly in Bayesian statistics. [2]

  5. Positive and negative predictive values - Wikipedia

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

    The PPV and NPV are not intrinsic to the test (as true positive rate and true negative rate are); they depend also on the prevalence. [2] Both PPV and NPV can be derived using Bayes' theorem . Although sometimes used synonymously, a positive predictive value generally refers to what is established by control groups, while a post-test ...

  6. Bayes' theorem - Wikipedia

    en.wikipedia.org/wiki/Bayes'_theorem

    Once again, the answer can be reached without using the formula by applying the conditions to a hypothetical number of cases. For example, if the factory produces 1,000 items, 200 will be produced by Machine A, 300 by Machine B, and 500 by Machine C. Machine A will produce 5% × 200 = 10 defective items, Machine B 3% × 300 = 9, and Machine C 1 ...

  7. Evaluation of binary classifiers - Wikipedia

    en.wikipedia.org/wiki/Evaluation_of_binary...

    Prevalence has a significant impact on prediction values. As an example, suppose there is a test for a disease with 99% sensitivity and 99% specificity. If 2000 people are tested and the prevalence (in the sample) is 50%, 1000 of them are sick and 1000 of them are healthy.

  8. Incidence (epidemiology) - Wikipedia

    en.wikipedia.org/wiki/Incidence_(epidemiology)

    Incidence is usually more useful than prevalence in understanding the disease etiology: for example, if the incidence rate of a disease in a population increases, then there is a risk factor that promotes the incidence. For example, consider a disease that takes a long time to cure and was widespread in 2002 but dissipated in 2003.

  9. Mortality rate - Wikipedia

    en.wikipedia.org/wiki/Mortality_rate

    The crude death rate is defined as "the mortality rate from all causes of death for a population," calculated as the "total number of deaths during a given time interval" divided by the "mid-interval population", per 1,000 or 100,000; for instance, the population of the U.S. was around 290,810,000 in 2003, and in that year, approximately 2,419,900 deaths occurred in total, giving a crude death ...