Causal Inference in R Workshop

Slides

• 00 Intro
• 01 Whole Game
• 02 When Standard Methods Succeed
• 03 Causal Inference with group_by and summarise
• 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

Installing materials locally

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("pak")
pak::pak("r-causal/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")