From the course: Meta-analysis for Data Science and Business Analytics
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Odds ratios
From the course: Meta-analysis for Data Science and Business Analytics
Odds ratios
- [Narrator] Let's take a look at how we create confidence intervals around an odds ratio. Confidence intervals are not strictly part of meta-analysis but they are often provided, and it's helpful to know how they're constructed when it comes time to interpret them. The chart that you see is a depiction of the curve that you would get if you repeated the same experiment hundreds of even thousands of times and charted the results. With this experiment, the population value of the log of the odds ratio is 3, as shown by the vertical line in the center of the normal curve. You won't get exactly the same odds ratio every time you run the experiment. The differences could be due to sampling error or to differences in the way the experiment was conducted. That distinction is reflected in some assumptions that the analysis makes, particularly whether to regard the experiments as representative of the same treatment, the treatment is a fixed effect, or the individual experiments are a random…
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