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Root number
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484096 |
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Semester
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HS2026 |
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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 |
PHS: Linear and Logistic Regression Modelling in R (Core Methods) |
| Description |
13. - 14. and 27. - 28.08.2026
This course provides an introduction to regression modeling in Public Health Sciences. Participants will learn the basic theoretical concepts and how to apply regression modelling in the context of their research. The course will focus on models for continuous (linear regression), binary (logistic regression), and categorical outcomes (multinomial and ordered logistic regression). Practical examples and exercises in R will accompany the course, enabling participants to apply the learned concepts effectively. Prior completion of the 'basic statistics and projects in R' and 'introduction to epidemiology and study design' courses (or similar courses) is recommended as they provide essential foundational knowledge for the course.
Special:
This course builds on the material covered in the courses ‘Basic Statistics and Projects in R’ and ‘Introduction to Epidemiology and Study Design’. Students should bring their own laptops with installed, recent versions of R and RStudio.
Cancellation regulation: After the closing date for registrations, the organisers will decide whether the course can take place. The decision is based on the number of registrations. A Processing fee of CHF 100 will be applied for cancellation after the registration deadline. More information on the website: https://www.medizin.unibe.ch/studies/study_programs/phs_course_program/index_eng.html |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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Further information for this course
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| Lecturers |
Prof. Dr.
Ben Spycher, Institut für Sozial- und Präventivmedizin (ISPM) - Environmental & Spatial Epidemiology ✉
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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 |
Thursday 13/8/2026 09:00-17:00
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Friday 14/8/2026 09:00-17:00
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Thursday 27/8/2026 09:00-17:00
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Friday 28/8/2026 09:00-17:00
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Rooms
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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