Advanced Epidemiology (2021)
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Course summary text:
- Description: This course will cover familiar epidemiological concepts like bias, confounding, ...
Archive 2021
Introduction:
- 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
Duration: 1 Semester