Better data management
Good research results

Because medical data is a specialized domain, it carries with it the sensitivity of protecting patient privacy and the uniqueness of potential constraints between hypothesis development and clinical application.
Therefore, only researchers with sufficient understanding of this can handle medical data.
However, programming itself can be awkward for hospital staff conducting actual medical research, medical and bio-healthcare companies, and researchers at public medical institutions.
Therefore, we have neatly included only the R programming essential for handling medical data to help medical researchers.

This book establishes the relationship between medical research and R through examples of medical research using R, and then explores how to set up a working environment on a personal computer.
After learning basic statistics and data-based visualization, which are essential when handling research data, through R, we will also look at useful R packages for analysis and statistics.
Additionally, we will go through the process of creating a package optimized for a specific study and distributing it so that other researchers who need it can utilize it.
Finally, you'll learn more about Shiny and Quarto, which help you share compelling reports with other researchers, clients, or patients who aren't directly involved in data management and programming.