Course leader: Reimar W. Thomsen
Graduate school: Faculty of Health
Graduate program: ClinFO
Course fee: 2,520.00 DKK
Status: Course is open for application
Semester: Fall 2022
Application deadline: 12/09/2022
Start date: 10/10/2022
Administrator: Annette Poulsen
The course, C296/03 Applying clinical epidemiological methods and Danish databases to study chronic disease, is being offered by the Graduate School of Health, Aarhus University, fall 2022.
Criteria for participation: University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).
Participants must bring their own computer to the course.
Recommended knowledge for participation: Basics of epidemiology or clinical epidemiology (introductory level). Knowledge related to the chronic disease topic of interest; For example, oncology/cancer research knowledge for those working in cancer; cardiometabolic disease knowledge for those working in this field, etc. Some knowledge of statistics and a computer with Stata or R.
Aim: To provide students with an overview on how to take a research idea through to implementing, analysing, and interpreting an epidemiologic study, using Denmark’s unique network of medical and population-based registries. Each concept will be introduced in a lecture. Through a combination of exercises and computer labs, students will be provided with guidance on implementing, analysing and interpreting studies using data on important chronic diseases from the Danish databases and registries. Students are not required to complete an exam at the end of the course.
This course is relevant to those working with clinical and epidemiological studies of any chronic disease. There will be an introduction to the basic and advanced observational methodology toolbox within clinical outcome studies. We will present methods applied to the study of chronic diseases including cancer, cardiovascular disease, respiratory disease, diabetes/obesity, kidney disease, and bone disease, among others. Methods will include traditional epidemiological study designs for a single chronic disease, but also novel approaches to study treatment, multi morbidity, and chronic disease in a life-course perspective.
Learning outcomes: The course includes lectures, exercises and computer labs on the following:
- Identify and design a clinical epidemiologic research study using the Danish databases and registries – comparing and contrasting study designs in order to suitably address a research question
- Identifying and ascertaining data from the Danish databases and registries
- Assessing study validity and implementing validity checks
- Data analysis including data cleaning and implementing survival analysis using Stata
- Evaluating study findings, interpreting and reporting study findings
- Monday: How can we address a research question?
- Tuesday: What data can we use?
- Wednesday: Can we trust the data?
- Thursday: Evaluating wether an observed association suggests a causal association: Can we trust the analysis?
- Friday: How can we interpret and present our findings?
Workload: The full workload of the course is expected to be 52 hours.
Head of course: Deirdre Cronin Fenton, Ph.D., Mette Nørgaard, M.D., Ph.D., Christian F. Christiansen, M.D., Ph.D., Reimar W. Thomsen, M.D., Ph.D.
Instructors: KEA staff and collaborators.
Venue: The Victor Albeck building (1268), Vennelyst Blvd. 4, 8000 Aarhus.
Participation in the course is without cost for:
- PhD students, Health Research Year students and Health Research Honours Programme students from Aarhus University
- PhD students enrolled at partner universities of the Nordoc collaboration
- PhD students from other institutions in the open market agreement for PhD courses
- 10 October 2022 08:00 - 16:00
- 11 October 2022 08:00 - 16:00
- 12 October 2022 08:00 - 16:00
- 13 October 2022 08:00 - 16:00
- 14 October 2022 08:00 - 16:00