Practical Statistics in Medicine with R
1st Edition
Konstantinos I. Bougioukas, PhD 
Welcome!
This is a working draft.
This is the website for the work-in-progress “Practical Statistics in Medicine with R”. If you’d like a physical copy of the book or an eBook, you can wait until mid-2024 for the 1st edition; it will be published by CRC Press/Taylor & Francis Group.
Who this textbook is for
This introductory textbook is based on lectures and practical sessions delivered over several years at Aristotle University of Thessaloniki in Greece.
Designed to complement hands-on labs, the primary emphasis of this textbook is to introduce students to the basic ideas of medical statistics using R. It can also be used as a support for self-directed learning for students and researchers in biomedical field to analyze data. Additionally, bridging the gap between theory and practice, it may be useful for (under)graduate students with a science background (engineering, mathematics) who want to move towards biomedical sciences and develop essential R skills.
The textbook is organized in two primary parts: “Part 1: R basics” and “Part 2: Statistics”. In Part 1, readers are introduced to the fundamentals of base R, along with practical methods for data import and manipulation using pipe-friendly functions from the tidyverse collection packages. It also provides step-by-step guidance on visualizing data using the ggplot2 package and its extensions. Part 2 covers the most common statistical tests with examples from bio-medical field. Statistical functions from Base R and the rstatix add-on package are presented side-by-side, fostering engagement and enriching reader’s coding experience.
This textbook is intended to be self-contained and is not expected any previous experience with the R programming language. However, it assumes that the reader has a basic knowledge of mathematics and introductory statistics. If the reader wants to learn in more detail this programming language and statistics, we recommend the books below:
Reproducibility and License
This textbook was made using 
Quarto® which is an open-source scientific and technical publishing system built on Pandoc. To learn more about Quarto books visit https://quarto.org/docs/books.
The online version of the textbook is hosted by Netlify and the material is free to use for non-commercial purposes, and is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License. 