Causal Inference with R – Experiments
Overview
Causal Inference with R – Experiments is the second course on causal inference concepts and methods created by Duke University with support from eBay, Inc. Designed to teach you about concepts, methods, and how to code in R with realistic data, this course focuses on experiment design, working with data from controlled and natural experiments, and dealing with noncompliance. This course will cover:
- Randomized experiments and statistical inference
- Practice with published experiments
- Common issues in experiments
- Dealing with noncompliance in experiments
- Long-term average treatment effects
- Natural experiments
- Bounds analysis
