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Root number
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489846 |
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Semester
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FS2025 |
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Type of course
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Course |
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Allocation to subject
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(Continuing education) Health Care Organisations |
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Type of exam
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not defined |
| Title |
Winter School: Causal inference in Observational Epidemiology |
| Description |
Causal inference from observational data is a key task of epidemiology and of allied disciplines such as behavioral sciences and health services research. Commonly used statistical methods estimate association measures which cannot always be causally interpreted, even when all potential confounders are included in the analysis. In contrast, a causally explicit approach formally defines causal effects, identifies the conditions required to estimate causal effects without bias, and uses analytical methods that, under those conditions, provides estimates that can be endowed with a causal interpretation. This course presents such framework for causal inference from observational data and recent methodological developments, with a special emphasis on complex longitudinal data. The application of these methods will be illustrated using data from a synthetic HIV cohort study. The course is aimed at epidemiologists, statisticians, and other researchers who work with longitudinal observational data. |
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ILIAS-Link (Learning resource for course)
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Link to another web site
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| Lecturers |
Prof. Dr.
Marcel Zwahlen, Teaching Staff, Faculty of Medicine ✉
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Miguel Angel Hernan, Institute of Social and Preventive Medicine
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ECTS
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1 |
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Recognition as optional course possible
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No |
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Grading
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attended |
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Dates
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Rooms
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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