July 26, 2023, Nivedita Bhaskhar, https://nivbhaskhar.github.io/

Note: Everything in this survey is for binary treatments.

• References

• Packages

• Introduction

• Terminology and framework

• Treatment effects

• Different assumptions on treatment assignment

• Estimating ATE and CATE for binary treatments

• ATE estimation using machine learning for binary treatments

• CATE estimation using meta learners for binary treatments

• Pros and cons of various methods for ATE estimation

• Pros and cons of various methods for CATE estimation using meta learners

• Adapting ML methods directly for causal inference - a brief example

• Citation

  If you use these notes in any form, please include a back link and also cite them as

  Bhaskhar, Nivedita. (July 2023). Machine Learning and estimating treatment effects - a preliminary survey. https://nivbhaskhar.github.io/