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  2. Odds ratio - Wikipedia

    en.wikipedia.org/wiki/Odds_ratio

    An odds ratio (OR) is a statistic that quantifies the strength of the association between two events, A and B. The odds ratio is defined as the ratio of the odds of event A taking place in the presence of B, and the odds of A in the absence of B. Due to symmetry, odds ratio reciprocally calculates the ratio of the odds of B occurring in the presence of A, and the odds of B in the absence of A.

  3. Number needed to harm - Wikipedia

    en.wikipedia.org/wiki/Number_needed_to_harm

    The NNH is an important measure in evidence-based medicine and helps physicians decide whether it is prudent to proceed with a particular treatment which may expose the patient to harms while providing therapeutic benefits.

  4. Relative risk - Wikipedia

    en.wikipedia.org/wiki/Relative_risk

    In practice the odds ratio is commonly used for case-control studies, as the relative risk cannot be estimated. [1] In fact, the odds ratio has much more common use in statistics, since logistic regression, often associated with clinical trials, works with the log of the odds ratio, not relative risk. Because the (natural log of the) odds of a ...

  5. Case–control study - Wikipedia

    en.wikipedia.org/wiki/Case–control_study

    Although in classical case–control studies, it remains true that the odds ratio can only approximate the relative risk in the case of rare diseases, there is a number of other types of studies (case–cohort, nested case–control, cohort studies) in which it was later shown that the odds ratio of exposure can be used to estimate the relative ...

  6. Rare disease assumption - Wikipedia

    en.wikipedia.org/wiki/Rare_disease_assumption

    and = / / = While the prevalence is only 9% (9/100), the odds ratio (OR) is equal to 11.3 and the relative risk (RR) is equal to 7.2. Despite fulfilling the rare disease assumption overall, the OR and RR can hardly be considered to be approximately the same. However, the prevalence in the exposed group is 40%, which means is not sufficiently small

  7. Conditional logistic regression - Wikipedia

    en.wikipedia.org/wiki/Conditional_logistic...

    In fact, it can be shown that the unconditional analysis of matched pair data results in an estimate of the odds ratio which is the square of the correct, conditional one. [ 2 ] In addition to tests based on logistic regression, several other tests existed before conditional logistic regression for matched data as shown in related tests .

  8. Attack rate - Wikipedia

    en.wikipedia.org/wiki/Attack_rate

    In epidemiology, the attack rate is the proportion of an at-risk population that contracts the disease during a specified time interval. [1] It is used in hypothetical predictions and during actual outbreaks of disease.

  9. 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. It is defined as: