3.2 — Causal Inference & DAGs — R Practice

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For each of the following examples:

1. Write out all of the causal pathways from X (treatment of interest) to Y (outcome of interest).
2. Identify which variable(s) need to be controlled to estimate the causal effect of X on Y. You can use dagitty.net to help you, but you should start trying to recognize these on your own!
3. Draw the DAGs in r using ggdag. After setting up the dag with dagify() (and specifying exposure and outcome inside dagify), pipe that into ggdag(). Try again piping it instead into ggdag_status() (to highlight what is X and what is Y). Try again piping it instead into ggdag_adjustment_set() to show what needs to be controlled.

Don’t forget to install ggdag!

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