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Fix typo
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jwbowers committed Jan 11, 2023
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Expand Up @@ -20,7 +20,7 @@ In this module, we introduce statistical power, core approaches to calculating p

- For **clustered designs** you need to take account of the intra-cluster correlation (the within-cluster variance relative to the overall variance).

- Power is closely liked to [study design](the-research-design-process.html), [hypothesis testing](hypothesis-testing.html) and [estimation](estimands-and-estimators.html).
- Power is closely linked to [study design](the-research-design-process.html), [hypothesis testing](hypothesis-testing.html) and [estimation](estimands-and-estimators.html).

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@jwbowers

jwbowers Jan 11, 2023

Author Contributor

Thanks to Ryan Moore for catching this. @graemeblair and @nahomi I just went ahead and fixed it and pushed to the main branch. I assume github actions will re-compile. Alerting you in case the Quarto site needs to be updated.


## Slides
Below are slides with the core content that we cover in our lecture on power. You can directly use these slides or make your local copy and edit.
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