What type of data is odds ratio?

The odds ratio (OR) is a measure of association that is used to describe the relationship between two or more categorical (usually dichotomous) variables (e.g., in a contingency table) or between continuous variables and a categorical outcome variable (e.g., in logistic regression).

What is a combined odds ratio?

Typically you combine by taking the weighted average of the log of the odds ratio and then exponentiating. If the sizes of the data sets are roughly equal for your odds ratios then it’s the average of the log odds.

Is odds ratio used in cohort?

Odds ratios are most commonly used in case-control studies, however they can also be used in cross-sectional and cohort study designs as well (with some modifications and/or assumptions).

What should the odds ratio be for a matched pair?

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). In this case, an odds ratio of 2.78 means that the relative risk of disease is about three times more frequent in the exposed group for the population in question.

Which is an example of the odds ratio?

The odds ratio estimate is the ratio of case-positive to case-negative matched pairs: Illustrative example. Suppose that in studying 50 matched-pairs (100 people total) we find:

What is the odds ratio for not exposed cases?

Enter 95 in the Not Exposed Cases / Not Exposed controls group. 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).

What does a odds ratio of 2.78 mean?

In this case, an odds ratio of 2.78 means that the relative risk of disease is about three times more frequent in the exposed group for the population in question. The McNemar and Corrected McNemar tests are chi squared tests with associated p-values. Fisher’s exact tests of association are p-values.