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Book/statisticalpower.Rmd

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@@ -20,7 +20,7 @@ In this module, we introduce statistical power, core approaches to calculating p
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- For **clustered designs** you need to take account of the intra-cluster correlation (the within-cluster variance relative to the overall variance).
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- Power is closely liked to [study design](the-research-design-process.html), [hypothesis testing](hypothesis-testing.html) and [estimation](estimands-and-estimators.html).
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- 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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## Slides
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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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