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Add new list of written learning resources to the docs #447
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Thanks for this @HPCurtis. Got a few requests:
- Put the "Awesome Causal Inference" section at the bottom and maybe change the heading to something like "Resources for causal inferences in general" or something to just portray the idea that it goes beyond the scope of quasi-experiments.
- I'd also maybe compactify that section by turning the bullet point list into prose. I don't know if there's a proper term for it, but like this:
Covering the essentials from: academia, industry, books ...
- Could be worth adding in a few more book references. Maybe these:
- Mastering'metrics: The path from cause to effect
- Mostly Harmless Econometrics: An Empiricist's Companion
- Quasi-Experimentation: A Guide to Design and Analysis
Oh, also Causal Inference: The Mixtape, and The Effect: An Introduction to Research Design and Causality |
I took the liberty of just finishing this off because I had some spare time. |
## Bayesian causal inference resources | ||
* The official [PyMC examples gallery](https://www.pymc.io/projects/examples/en/latest/gallery.html) has a set of examples specifically relating to causal inference. | ||
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## General causal inference resources |
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Looks good to me
Requests for change implemented by myself
#71 Outline for general markdown for causal inference written resources with update to index.md. Separating the awesome causal inference section by Matt Courthoud and essential written resources for the CausalPy package.
📚 Documentation preview 📚: https://causalpy--447.org.readthedocs.build/en/447/