12-Appendices.Rmd

# Appendices {#appendices}

## Appendix A: Glossary of Terms {#appendix_a_glossary}

 - Average Treatment Effect
 - Conditional Treatment Effect
 - Marginal Treatment Effect




## Appendix B: Resources for Using R {#appendix_b_using_r}

There are a lot of excellent existing resources on learning and using R in practice. A non-exhaustive list of these resources are below.

  - Getting Started
    - [R Project: An Introduction to R](https://cran.r-project.org/doc/manuals/r-release/R-intro.html)
    - [Rstudio Educational Resources](https://education.rstudio.com/)
    - [Rstudio Primers](https://rstudio.cloud/learn/primers)
    - [R for Data Science](https://r4ds.had.co.nz/)
    - [Introduction to Data Science](https://rafalab.github.io/dsbook/)
    - [Exploratory Data Analysis with R](https://bookdown.org/rdpeng/exdata/)
    - [Coursera Data Science Foundations using R](https://www.coursera.org/specializations/data-science-foundations-r)
    - [edX Data Science: R Basics](https://www.edx.org/course/data-science-r-basics)
    - [Happy Git and GitHub for the useR](https://happygitwithr.com/)
    - [The R Graph Gallery](https://r-graph-gallery.com/)
  - Quick References
    - [RStudio Cheat Sheets](https://rstudio.com/resources/cheatsheets/)
  - Programming & Advanced Topics
    - [Hands On Programming with R](https://rstudio-education.github.io/hopr/)
    - [Advanced R](https://adv-r.hadley.nz/)




## Appendix C: {#appendix_c_references_by_method}

  - G-Computation, Standardization
  - Inverse Probability Weighting
  - Targeted Maximum Likelihood


`r if (knitr::is_html_output()) '# References {-}'`