- 00 Intro
- 01 Whole Game
- 02 When Standard Methods Succeed
- 03 Causal Inference with
group_by
andsummarise
- 04 Causal Diagrams
- 05 Causal Inference is Not Just a Statistics Problem
- 06 Introduction to Propensity Scores
- 07 Using Propensity Scores
- 08 Checking Propensity Scores
- 09 Fitting the outcome model
- 10 Continuous Exposures and G-Computation
- 11 Tipping Point Sensitivity Analyses
- 12 Whole Game (Your Turn)
- 13 Bonus: Selection Bias
- 14 Bonus: Continous Exposures with Propensity Scores
We will provide a link to a Posit Cloud space for the workshop. However, we recommend also installing the materials locally so you have two options.
To install the required packages and course materials, we have an R package called {causalworkshop} to help you do that! You can install {causalworkshop} from GitHub with:
install.packages("remotes")
remotes::install_github("malcolmbarrett/causalworkshop")
Once you’ve installed the package, install the workshop with
causalworkshop::install_workshop()
By default, this package downloads the materials to a conspicuous place
like your Desktop. You can also tell install_workshop()
exactly where
to put the materials:
causalworkshop::install_workshop("a/path/on/your/computer")