Causal Inference with R - Experiments

We introduce how experiments help us find causal connections, and take a quick look at controlled experiments.

These videos and exercises introduce randomized experiments, and explain why we need statistical inference in experiments.

These videos and exercises offer practice in skills used in analyzing experimental data.

These videos and exercises discuss common issues in carrying out experiments.

These videos and exercises discuss the issue of noncompliance in experiments.

These videos and exercises discuss how to compute and interpret long-term causal effects.

These videos and exercises introduce natural experiments, sometimes called quasi-experiments.

This chapter discusses how to form bounds on causal effects in the presence of experimental noncompliance, and we wrap up the course with a bigger exercise to review what we have learned.