Medical Statistics, MEDMS24B5_1
Daniel Skak Mahzari-Jensen 
🚧 This section is being actively worked on. 🚧
Welcome!
Welcome to the Medical Statistics course repository. This repo contains all teaching materials, exercises, datasets, and project resources used in the course.
The course focuses on clinical data analysis, biostatistics, and data-driven clinical decision-making through hands-on learning and real-world case studies. For the academic regulations of the course, see Medical Statistics.
Course Overview
Learn to turn clinical data into robust evidence that informs real clinical and research decisions. Healthcare generates enormous amounts of data, yet many decisions are still based on studies with limited statistical rigor, misinterpreted results, or insufficient consideration of uncertainty, bias, and reproducibility. Clinicians and researchers increasingly need the skills to critically appraise the literature and understand how evidence is generated, interpreted, and communicated in scientific work. To address this, you need strong statistical reasoning, practical data analysis skills, and the ability to translate quantitative results into clinically meaningful insight. In this course, you will learn how to use R for data analysis; understand probability, uncertainty, and stochastic processes; apply regression and generalized linear models; design and validate prediction models; evaluate bias, confounding, and reproducibility; perform power and sample size calculations; analyze time-to-event and repeated-measures data; and connect statistical findings to clinical decision-making and meta-analysis.
By the end of the course, you will be able to engage confidently with scientific research, communicate quantitative findings clearly, and contribute to high-quality evidence generation. These skills will empower you to participate fully in modern clinical and translational research, collaborate effectively with statisticians and data scientists, and strengthen the scientific basis of your clinical and research practice.
The purpose of this module is to provide students with fundamental skills in:
- Handling and managing clinical and health-related data
- Visualizing and exploring biomedical datasets
- Applying biostatistical methods to clinical and industrial medical problems
- Supporting clinical decision-making using quantitative evidence
This website
This website contains all materials for the course Medical Statistics at Aalborg University, Faculty of Health as a collaboration between the Department of Health Science & Technology and the Department of Clinical Medicine. The course is currently offered for the education Medicine with Industrial Specialization at the 5th semester.
Check out the overview section of the course, starting with the Syllabus.
If you plan on attending the course, please make sure to complete the Pre-course tasks to get set up and ready for the course. The pre-course tasks include a survey that you need to fill out before the course starts.
Target audiences
This website and its content are targeted to three groups:
- For the learners to use during the course, both to follow along and also to use as a reference during the project or even after the course ends. A more detailed description of who the learner is can be found in Is this for you?
- For the teachers to use as a guide for teaching the course and for the exercise material.
- For the project supervisors to use as a reference on what to expect during the projects work and references for R code help.
- For those who are interested in teaching, who may not have much experience or may not know where to start, to use this website as a guide to running and teaching their own courses.
Re-use and licensing
The course material is licensed under the Creative Commons Attribution 4.0 License, so the material can be used, re-used, and modified, as long as there is attribution to this source. Check out the For teachers section for more details and tips on using this material for teaching.
Contributing
Want to contribute to this course? Look through our CONTRIBUTING page for contribution guidelines on how to get started.
How the website is made
The course material is created using Quarto to write the material and create the book format, GitHub to host the Git repository of the material, and GitHub Actions with Netlify to build and host the website. The original source material for this course is found on the medicinsk-statistik GitHub repository.