Causal Inference with R – Regression
Overview
Causal Inference with R – Regression is the third course on causal inference concepts and methods created by Duke University with support from eBay, Inc. Designed to teach you causal inference concepts, methods, and how to code in R with realistic data, this course focuses on how to use regression to find causal effects, why they can be controversial, and what they look like in practice. This course will cover:
- Introduction to regression as causality
- Using regression to estimate causal effects
- Introduction to matching methods
