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Root number
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484096 |
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Semester
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HS2025 |
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Type of course
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Course |
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Allocation to subject
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Public Health Sciences Course Program |
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Type of exam
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not defined |
| Title |
Theme 1: Linear and Logistic Regression Modelling in R |
| Description |
This course provides an introduction to regression modeling in public health sciences. Participants have learned the basic theoretical concepts and how to apply regression modelling in the context of their research. The course focussed on models for continuous (linear regression), binary (logistic regression), and categorical outcomes (multinomial and ordered logistic regression). |
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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.
Ben Spycher, Institut für Sozial- und Präventivmedizin (ISPM) - Environmental & Spatial Epidemiology ✉
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Aaron Renggli, Institut für Sozial- und Präventivmedizin (ISPM) - Childhood Cancer Epidemiology ✉
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Lorenz Manuel Leuenberger, Institut für Sozial- und Präventivmedizin (ISPM) - Child & Adolescent Health ✉
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Dr.
Lars Michael Lenze, Institut für Sozial- und Präventivmedizin (ISPM) - Community Health ✉
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Yann Ruffieux, Institut für Sozial- und Präventivmedizin (ISPM) - Cancer ✉
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Lilian Goepp, Institut für Sozial- und Präventivmedizin (ISPM) - Climate Change & Health ✉
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ECTS
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1.5 |
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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 |
Monday 3/11/2025 09:15-11:30
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Monday 3/11/2025 11:30-12:30
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Monday 3/11/2025 13:30-14:30
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Monday 3/11/2025 14:30-17:00
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Tuesday 4/11/2025 09:15-11:30
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Tuesday 4/11/2025 11:30-12:30
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Tuesday 4/11/2025 13:30-14:30
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Tuesday 4/11/2025 14:30-17:00
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Wednesday 5/11/2025 09:15-11:30
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Wednesday 5/11/2025 11:30-12:30
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Wednesday 5/11/2025 13:30-14:30
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Wednesday 5/11/2025 14:30-17:00
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Thursday 6/11/2025 09:15-11:30
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Thursday 6/11/2025 11:30-12:30
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Thursday 6/11/2025 13:30-14:30
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Thursday 6/11/2025 14:30-17:00
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Rooms
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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