This repository contains materials for a hybrid lecture held for the Stanford Pathology Department on 11/16/2022. You can download the slides for the presentation by clicking here.
Stephan Kadauke, MD, PhD is an Assistant Professor of Clinical Pathology and Laboratory Medicine and the Medical Director of Cell and Gene Therapy Informatics at the Children’s Hospital of Philadelphia. He is also the Assistant Director of the Cell and Gene Therapy Laboratory, which provides all cell therapy products to patients at CHOP.
Dr. Kadauke aims to promote clinician data literacy and data analysis skills using the free and open-source R statistical programming language and ecosystem. He created an introductory curriculum for teaching data science with R to physicians and other healthcare professionals. In a variety of renditions both in-person and online, he has taught the principles of data science with R to 750+ participants in this course over the past 6 years. For the past 3 years, he was the Chair of the international R/Medicine conference, which aims to promote the development and use of R based tools to improve clinical research and practice.
- Step by step instructions for how to install R and RStudio on macOS or Windows
- Keith Baggerly interview
- R for Data Science (by Hadley Wickham and Garrett Grolemund)
- Solutions Manual (by Jeffrey Arnold)
- R Markdown: The Definitive Guide (by Yihui Xie, JJ Allaire, and Garrett Grolemund)
- Fundamentals of Data Visualization (by Claus Wilke)
- RStudio Cheatsheets
- R Markdown Reference
- R/Medicine 101: Intro to R for Clinical Data - a 2.5 hour introductory workshop to clinical data analysis with R designed for physicians and other healthcare workers. Taught at R/Medicine 2022 by Stephan Kadauke, Patrick Mathias, Joe Rudolf.
All of the material in this GitHub repository is copyrighted under the Creative Commons BY-SA 4.0 copyright to make the material easy to reuse. You may adapt it for your own teaching as you like!