- Description: This course will cover familiar epidemiological concepts like bias, confounding, and other systematic errors, but will go into more details with a focus on how and why the validity of results might be endangered. The use of Directed Acyclic Graphs for identifying sets of covariates necessary for robust adjustment of models will be introduced. The identification and interpretation of interaction/effect modification will be covered with the aim of describing how subgroups might behave differently. Finally, the course will cover more recent developments in epidemiology, by introducing causal inference from observational studies using counterfactual models and propensity scores, mediation analyses and the use of instrumental variables. The course will include lectures and group work based on selected papers and problems related to the projects of the participants.
Literature: Selected papers and book chapters.
Evaluation: Active participation and presentation from group work.
Prerequisites: Skills corresponding to basic epidemiology and basic statistical courses.
- Organizer: Associate professor Henrik Bøggild, e-mail: boggild@hst.aau.dk
- Lecturers: Associate professor Henrik Bøggild, professor Kirsten Fonager, professor Søren Paaske Johnsen and invited lectures Public Health and Epidemiology Group, Health Science and Technology, Aalborg University, Center for Clinical Health Service Research, Department of Social Medicine and Unit of Clinical Biostatistics, Aalborg University Hospital
- ECTS: 2,4
- Time: 15-17 November 2021
- Place: Room 405, Forskningens Hus, Sdr. Skovvej 15
- Zip code: 9000
- City: Aalborg
- Number of seats: 20
- Deadline: 25 October 2021
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.