This repo is a snapshot in time of the workshop delivered at
posit::conf(2024)
. Visit the workshop’s main repo for the latest
version of the
material.
by Malcolm Barrett, Travis Gerke
Welcome to Causal Inference in R! You can find everything you need about the workshop on the workshop website.
🗓️ August 12, 2024
⏰ 09:00 - 17:00
🏨 ROOM TBD
✍️ pos.it/conf
- 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 be using Posit Cloud for the workshop, but please also install materials locally on your computer so you're ready for any technical issues with one method or the other.
Time | Activity |
---|---|
09:00 - 10:30 | Session 1 |
10:30 - 11:00 | Coffee break |
11:00 - 12:30 | Session 2 |
12:30 - 13:30 | Lunch break |
13:30 - 15:00 | Session 3 |
15:00 - 15:30 | Coffee break |
15:30 - 17:00 | Session 4 |
This work is
licensed under a Creative Commons Attribution 4.0 International
License.
Causal inference in R