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Causal Inference in R: A book!

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#252 introduces a foundation for discussing missingness and measurement error. I'm happy with this pedagogically, but I think there are a few areas to improve after @LucyMcGowan works on the...

:hole: missingness
:pencil2: writing

I'm following the code for exchangeability. When I get to the mix_up function, I realize the previous code did not create an object for "flavor", I wonder if the flavor...

clarification proposed in class

Dear all, What an excellent resource! I'm making some open educational materials on formal theory which touch upon causal inference, and I would like to base some examples on the...

Mostly minor edits

This is a sort of internal style guide for various decisions we need to make. All of these are open to discussion, but I want to be consistent for all...

I think we have a typo in this causal diagram: https://www.r-causal.org/chapters/01-casual-to-causal#fig-diagram-3 It has the time 0 as 'when they stopped' but the study actually looks at reduction, not cessation: >...

See this box in Chapter 4 for an example

I'm not sure I want to cover this but if we did, seems like it would go in the ML chapter by virtue of it being a data adaptive approach