Python Code for Causal Inference: What If

This repo contains Python code for Part II of the book Causal Inference: What If, by Miguel Hernán and James Robins (book site):

Hernán MA, Robins JM (2020). Causal Inference: What If. Boca Raton: Chapman & Hall/CRC.

This Python version roughly corresponds to the Stata, R, or SAS programs found at the book site, and was also translated into Julia, here.

The code in this repo has been checked against the 30 March 2021 version of the book.

Python dependencies

Required Python packages:

If you use the Anaconda distribution of Python, you'll have most of those packages already, and you'll only need to install

The data can be obtained from the book site.

The notebooks all assume that the Excel version of the data has been saved in the same directory as the notebooks.

James Fiedler, with contributions from Petty PY Chen and Piyush Madan

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
README.md		README.md
chapter11.ipynb		chapter11.ipynb
chapter12.ipynb		chapter12.ipynb
chapter13.ipynb		chapter13.ipynb
chapter14.ipynb		chapter14.ipynb
chapter15.ipynb		chapter15.ipynb
chapter16.ipynb		chapter16.ipynb
chapter17.ipynb		chapter17.ipynb