https://github.com/jrfiedler/causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
https://github.com/jrfiedler/causal_inference_python_code

causal-inference causality data-science python

Last synced: 12 days ago
JSON representation

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

• Host: GitHub
• URL: https://github.com/jrfiedler/causal_inference_python_code
• Owner: jrfiedler
• Created: 2018-02-04T23:00:19.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-01-08T02:29:18.000Z (almost 3 years ago)
• Last Synced: 2024-10-01T18:04:14.080Z (about 1 month ago)
• Topics: causal-inference, causality, data-science, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.51 MB
• Stars: 1,237
• Watchers: 51
• Forks: 387
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# 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](https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/)):

> 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](http://www.github.com/jrfiedler/causal_inference_julia_code).

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

## Python dependencies

Required Python packages:

- numpy

- pandas

- statsmodels

- scipy

- matplotlib

- linearmodels

- tqdm

If you use the [Anaconda](https://www.anaconda.com/distribution/) distribution of Python, you'll have most of those packages already, and you'll only need to install

- linearmodels

- tqdm

## Data

The data can be obtained from the [book site](https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/).

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

## Author

James Fiedler, with contributions from [Petty PY Chen](https://github.com/pettypychen) and [Piyush Madan](https://github.com/piyushmadan)