Causal Inference

A curated collection of notes and textbooks on causal inference.

Overview

This repository serves as a curated collection of notes and textbooks related to causal inference, a fundamental area in statistical and econometric research. The goal is to provide resources for learning, reference, and deeper understanding of causal modeling and inference techniques.

Repository Structure

• Causal Inference Note/ - Notes on causal inference concepts and methods (incomplete)
• Textbook or Paper/ - Collection of textbooks and academic papers:
  • Book_causal-inference-for-statistics-social-and-biomedical-sciences/
  • Causal inference for statistics, social and biomedical sciences/
  • A First Course in Causal.pdf
  • CAUSAL INFERENCE IN STATISTICS A Primer.pdf
  • Causal Inference in Python.pdf
  • Causal inference in statistics.pdf
  • Causal-Inference-the-Mixtape.pdf
  • *Useful Links: https://chabefer.github.io/STCI/Placebo.html
• README.md - Repository description and usage guide

Getting Started

To use the resources in this repository:

1. Clone the repository:

   git clone https://github.com/Danbo-Chen219/causal-inference.git

2. Navigate to the folder:

   cd causal-inference

3. Explore the notes and textbooks in the respective directories.

Recommended Learning Path

1. Start with basic concepts from Causal Inference in Statistics: A Primer.
2. Explore applied methods with Causal Inference in Python.
3. Deep dive into advanced topics using Causal Inference: The Mixtape.

Contribution

If you would like to contribute by adding more materials or improving existing notes:

• Fork the repository
• Add or update relevant content
• Submit a pull request

License

This repository is intended for educational purposes. Please ensure that you adhere to the copyrights of the original authors when using any material.

Contact

For any suggestions or discussions, feel free to reach out via GitHub Issues or email Danbo-Chen219.