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  1. Odds Ratio. The OR is the preferred measure of association for case–control data. Conceptually, it is calculated as the odds of exposure among case-patients divided by the odds of exposure among controls. However, in practice, it is calculated as the cross-product ratio. Using the notations in Handout 8.3, OR = ad/bc

  2. The Mantel-Haenszel weighted odds ratio, risk ratio, summary chi square, and p-value calculations combine results from different strata to remove confounding caused by the variables used for stratification. If tables are created for male and female, confounding by sex is removed.

  3. The odds ratio is an indicator of the effect of exposure on the likelihood of becoming ill. In this example the odds ratio is 2.78 (89/32) and the confidence limits range from 1.86 – 4.17. (confidence limits that are above or below 1 are an indicator of significance).

  4. The crude odds ratio and the Mantel summary odds ratio are quite different (4.0 and 1.0), concluding that smoking was a confounding factor and there appears (with this over simplified analysis) to be no association (odds ratio= 1.0) between alcohol and MI.

  5. 24 Απρ 2024 · Introduce the most common methods to assess risk in epidemiology: the odds ratio, and the relative risk. Learn how to analyze and report the odds ratio, and the relative risks as common methods of assessing risk from the results of epidemiological research studies; Summarize the uses of odds ratio and relative risk in epidemiology.

  6. The formula for ratio is defined as a:b a/b, where, a and b could be any two quantities. The most common ratio is to compare the presence of a health problem among women compared to men. And, it is said, for example that breast cancer affect mostly women and just few men.

  7. 22 Μαΐ 2023 · The odds ratio (OR) is a measure of how strongly an event is associated with exposure. The odds ratio is a ratio of two sets of odds: the odds of the event occurring in an exposed group versus the odds of the event occurring in a non-exposed group.

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