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  2. Risk difference - Wikipedia

    en.wikipedia.org/wiki/Risk_difference

    The risk difference (RD), excess risk, or attributable risk [1] is the difference between the risk of an outcome in the exposed group and the unexposed group. It is computed as I e − I u {\displaystyle I_{e}-I_{u}} , where I e {\displaystyle I_{e}} is the incidence in the exposed group, and I u {\displaystyle I_{u}} is the incidence in the ...

  3. Relative risk - Wikipedia

    en.wikipedia.org/wiki/Relative_risk

    The relative risk (RR) or risk ratio is the ratio of the probability of an outcome in an exposed group to the probability of an outcome in an unexposed group. Together with risk difference and odds ratio , relative risk measures the association between the exposure and the outcome.

  4. Population impact measure - Wikipedia

    en.wikipedia.org/wiki/Population_impact_measure

    Frequently used measures of risk and benefit identified by Jerkel, Katz and Elmore, [4] describe measures of risk difference (attributable risk), rate difference (often expressed as the odds ratio or relative risk), population attributable risk (PAR), and the relative risk reduction, which can be recalculated into a measure of absolute benefit ...

  5. Attributable fraction for the population - Wikipedia

    en.wikipedia.org/wiki/Attributable_fraction_for...

    Attributable fraction for the population combines both the relative risk of an incident with respect to the factor, as well as the prevalence of the factor in the population. Values of AF p close to 1 indicate that both the relative risk is high, and that the risk factor is prevalent. In such case, removal of the risk factor will greatly reduce ...

  6. Case–control study - Wikipedia

    en.wikipedia.org/wiki/Case–control_study

    The usual methods of estimating more interpretable parameters than odds ratios—such as risk ratios, levels, and differences—is biased if applied to case–control data, but special statistical procedures provide easy to use consistent estimators. [19]

  7. Number needed to harm - Wikipedia

    en.wikipedia.org/wiki/Number_needed_to_harm

    It is defined as the inverse of the absolute risk increase, and computed as / (), where is the incidence in the treated (exposed) group, and is the incidence in the control (unexposed) group. [1] Intuitively, the lower the number needed to harm, the worse the risk factor, with 1 meaning that every exposed person is harmed.

  8. Hazard ratio - Wikipedia

    en.wikipedia.org/wiki/Hazard_ratio

    Hazard ratios do not reflect a time unit of the study. The difference between hazard-based and time-based measures is akin to the difference between the odds of winning a race and the margin of victory. [3] When a study reports one hazard ratio per time period, it is assumed that difference between groups was proportional.

  9. Preventable fraction among the unexposed - Wikipedia

    en.wikipedia.org/wiki/Preventable_fraction_among...

    In epidemiology, preventable fraction among the unexposed (PFu), is the proportion of incidents in the unexposed group that could be prevented by exposure.It is calculated as = / =, where is the incidence in the exposed group, is the incidence in the unexposed group, and is the relative risk.