ECTS: 4.1
Course leader: Cecilia Ramlau-Hansen
Language: English
Graduate school: Faculty of Health
Graduate program: PH
Course fee: 4,920.00 DKK
Status: Course is open for application
Semester: Spring 2023
Application deadline: 10/04/2023
Start date: 08/05/2023
Administrator: Thilde Møller Risgaard
The course P281/05 Causal Inference in Health Sciences is being offered by the Graduate School of Health, Aarhus University, 2023.
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) or senior researchers from Denmark and other Scandinavian countries.
Recommended knowledge for participation: Although this is an introductory course to causal inference methods, it requires some knowledge on epidemiology, statistics, and mathematics as well as experience in working with statistical software (please see “Prerequisites”).
Prerequisites: Knowledge about Directed Acyclic Graphs (DAGs) equivalent to the Aarhus University PhD courses: Epidemiology II or Introduction to DAGs. Knowledge in statistics and epidemiology equivalent to the Aarhus University PhD courses: Epidemiology I and Basic Biostatistics part 1 and 2. Knowledge on linear and logistic regression models. Basic knowledge on probability theory. Intermediate skills with Stata or other statistical software.
Aim: Introduce participants to the basic theory and practical usage of modern causal inference methods in the health sciences.
Learning outcomes:
- Introduction to the potential outcome framework and counterfactuals
- Assumptions for causal inference
- Introduction to and practical experience with g-methods
- Introduction to and practical experience with causal interaction analysis
- Introduction to and practical experience with causal mediation analysis
Workload: The full workload of the course is expected to be 102 hours.
Content:
Day 1: Causal concepts and frameworks
Day 2: Definition and identification of total effects
Day 3: Estimation of total effects and g-computation
Day 4: Interaction and mediation analyses
Day 5: Practical application of causal inference methods
Instructors: Onyebuchi Arah, Andreas Ernst, Stefan Hansen and Nis Brix
Venue: Aarhus University, 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
Course dates:
- 08 May 2023 08:15 - 15:00
- 09 May 2023 08:15 - 15:00
- 15 May 2023 08:15 - 15:00
- 16 May 2023 08:15 - 15:00
- 17 May 2023 08:15 - 15:00