# Setup and Materials

### 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("remotes")
::install_github("r-causal/causalworkshop") remotes
```

Once you’ve installed the package, install the workshop with

`::install_workshop() causalworkshop`

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:

`::install_workshop("a/path/on/your/computer") causalworkshop`

You can also find the materials on the workshop repository.

## Posit Cloud workspace

A public cloud workspace with all materials and packages installed is also available on Posit Cloud. *Note that for certain workshops, we may provide a custom link to a cloud workspace.*

## Hosted slides

Following the above instructions will download a PDF copy of the slides. If you’d like to see the HTML version of the slides, we recommend taking a look at the hosted versions rather than the raw versions in the repository.

### 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