Lab 1 Intro to Counterfactuals

Lab 2 Randomization based inference

Lab 3 More Randomization based inference and Attributable Effects

Lab 4 d-separation (discrete data)

- R commands
- R Markdown commands
- PDF file with R commands and output

Lab 4 d-separation (mvnormal data)

Lab 5 Inferring structure and using the PC algorithm

- SWeave with output (prepared by W.W. Loh)
- R commands
- Data-set 1
- Data-set 2
- Data-set 3
- generating R code

Lab 6 Inferring structure allowing for hidden confounding variables with the FCI algorithm

Lab 7 Relative Risk Regression

Lab 7 Dependence Measures and Collapsibility

Lab 8 regression

Lab 9 IV Analysis

Lab 10 IV Monte Carlo Simulation