Course Causal Inference in Health Sciences

ECTS: 3.4

Course leader: Cecilia Ramlau-Hansen

Language: English

Graduate school: Faculty of Health

Graduate program: PH

Course fee: 4,080.00 DKK

Status: Course is open for application

Semester: Spring 2024

Application deadline: 08/04/2024

Cancellation deadline: 22/04/2024

Course type: Classroom teaching

Start date: 06/05/2024

Administrator: Thilde Møller Risgaard

The course P281/06 Causal Inference in Health Sciences is being offered by the Graduate School of Health, Aarhus University, spring 2024.

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.

Requirements for participation: 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


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


Head of course: Cecilia Høst Ramlau-Hansen

Instructors: Onyebuchi Arah, Andreas Ernst, Stefan Hansen, Nis Brix and Anne Gaml-Sørensen

Venue: Aarhus University, Aarhus (other)

Participation in the course is without cost for:

Course dates:

  • 06 May 2024 07:30 - 15:30
  • 07 May 2024 07:30 - 15:30
  • 15 May 2024 07:30 - 15:30
  • 16 May 2024 07:30 - 15:30
  • 17 May 2024 07:30 - 15:30