This practical is part of our comprehensive course An Introduction to Precision Medicine, which is available at:
👉 https://sdas.thinkific.com/courses/precmedintro
The course introduces the core concepts and methods of precision medicine, with a focus on developing and validating prognostic and predictive models using data from both clinical trials and non-randomized sources. Through interactive tutorials and hands-on practicals in R, participants learn how to explore data, construct risk prediction models, evaluate model performance, and apply these models in clinical decision-making.
This repository includes selected materials and practical exercises designed to support learning and implementation using R and Quarto.
All materials in this repository — including Quarto files, R code, and figures — are licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
You are welcome to use, adapt, and share these materials for non-commercial purposes, provided you give appropriate credit to Smart Data Analysis and Statistics.
We take copyright and license compliance seriously and are prepared to pursue legal action against individuals or organizations that use these materials in violation of the license terms.
If you use or adapt this material, please cite both the course and the practical materials:
Smart Data Analysis and Statistics (SDAS). (2025). An Introduction to Precision Medicine [Online course]. Available at: https://sdas.thinkific.com/courses/precmedintro
Smart Data Analysis and Statistics (SDAS). (2025). Computer Practical Materials for "An Introduction to Precision Medicine". Available at: https://github.com/smartdata-analysis-and-statistics/precision-medicine-practicals