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š§šµš² šš®šš® šš»š®š¹ššš'š ššš¶š±š² šš¼ šš®ššš² š®š»š± šš³š³š²š°š is out -- an introduction to causal inference in practice.
The first two chapters are available for free here: theissbendixen.com/dag-book/
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It took us three years to write this thing. But the good news is you can read it in three days!
We cover fairly advanced methods -- counterfactuals, g-computation, inverse probability of treatment weighting, poststratification, missing data imputation, etc. -- without dense formal notation.
"Strongly application-focused... an effective tool for getting data analysts into the world of causal inference and immediately into a workable project." -- Nick Huntington-Klein, @nickchk.com
Instead, we cut to the chase and emphasize a practical workflow using step-by-step explanations and real data examples in R.
The companion website lives here
theissbendixen.com/dag-book and holds:
- All data and code used in the book
- Free sample chapters
- Bonus material!
