index.Rmd

--- 
title: "Analyzing RCTs: A Cookbook"
author: "Inge Christoffer Olsen"
date: "`r Sys.Date()`"
site: bookdown::bookdown_site
output: 
  bookdown::gitbook: default
documentclass: book
bibliography: ["packages.bib"]
biblio-style: "apalike"
link-citations: yes
graphics: yes
github-repo: icostatistics/rct-cookbook
description: "The idea of this book is to capture some of the standard statistical analysis methods for randomised controlled trials"
---

# Preface

This is a working document describing how I usually analyse and present randomized controlled trials (RCTs), both in Stata and R. It is mainly a repository for code I use and need to refer to instead of searching through old code, but it could be useful for other as well. 


I am quite new to R, and have embraced the [tidyverse](tidyverse.org) style of coding. The graphics are a mostly created using [ggplot2](ggplot2.tidyverse.org), but lately I have also started using the [`ggformula`](https://CRAN.R-project.org/package=ggformula) package.  The "book" is written in [RMarkdown](https://rmarkdown.rstudio.com) with [bookdown](bookdown.org). 

## Structure of the book

The structure of the book is not very sophisticated. First there is an introduction where I introduce the concept of an RCT, and then I simualte a trial to be used in the continuation of the book. Chapter 3 and 4 are description on how to analyse continuous and dichotomous endpoints, both for single and repeated follow-up observations. The plan is to include also a chapter on time to event endpoints and sample size calculations. 

## Acknowledgements


```{r, include=FALSE}
# automatically create a bib database for R packages
knitr::write_bib(c(
  .packages(), 'bookdown', 'knitr', 'rmarkdown', 'tidyverse', 'ggplot2', 'ggformula', 'margins'
), 'packages.bib')
```