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  2. Odds ratio - Wikipedia

    en.wikipedia.org/wiki/Odds_ratio

    The sample odds ratio n 11 n 00 / n 10 n 01 is easy to calculate, and for moderate and large samples performs well as an estimator of the population odds ratio. When one or more of the cells in the contingency table can have a small value, the sample odds ratio can be biased and exhibit high variance .

  3. Hazard ratio - Wikipedia

    en.wikipedia.org/wiki/Hazard_ratio

    The hazard ratio would be 2, indicating a higher hazard of death from the treatment. For example, a scientific paper might use an HR to state something such as: "Adequate COVID-19 vaccination status was associated with significantly decreased risk for the composite of severe COVID-19 or mortality with a[n] HR of 0.20 (95% CI, 0.17–0.22)."

  4. Diagnostic odds ratio - Wikipedia

    en.wikipedia.org/wiki/Diagnostic_odds_ratio

    The log diagnostic odds ratio can also be used to study the trade-off between sensitivity and specificity [5] [6] by expressing the log diagnostic odds ratio in terms of the logit of the true positive rate (sensitivity) and false positive rate (1 − specificity), and by additionally constructing a measure, :

  5. 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 ...

  6. Survival analysis - Wikipedia

    en.wikipedia.org/wiki/Survival_analysis

    lower 95% CI upper 95% CI 5: 23: 2: 0.913 ... estimate it is calculated using Greenwood's formula, and depends on the number at risk (n.risk in the table), the number ...

  7. Likelihood ratios in diagnostic testing - Wikipedia

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

    The calculation of likelihood ratios for tests with continuous values or more than two outcomes is similar to the calculation for dichotomous outcomes; a separate likelihood ratio is simply calculated for every level of test result and is called interval or stratum specific likelihood ratios. [6] The pretest odds of a particular diagnosis ...

  8. Logistic regression - Wikipedia

    en.wikipedia.org/wiki/Logistic_regression

    For a continuous independent variable the odds ratio can be defined as: The image represents an outline of what an odds ratio looks like in writing, through a template in addition to the test score example in the "Example" section of the contents. In simple terms, if we hypothetically get an odds ratio of 2 to 1, we can say...

  9. Relative risk reduction - Wikipedia

    en.wikipedia.org/wiki/Relative_risk_reduction

    Formula Value Absolute risk reduction : ARR CER − EER: 0.3, or 30% Number needed to treat: NNT 1 / (CER − EER) 3.33 Relative risk (risk ratio) RR EER / CER: 0.25 Relative risk reduction: RRR (CER − EER) / CER, or 1 − RR: 0.75, or 75% Preventable fraction among the unexposed: PFu (CER − EER) / CER: 0.75 Odds ratio: OR (EE / EN) / (CE ...