ECTS: 2.8
Course leader: Bo Martin Bibby
Language: English
Graduate school: Faculty of Health
Graduate program: PH
Course fee: 3,360.00 DKK
Status: Course is open for application
Semester: Fall 2027
Application deadline: 10/10/2027
Cancellation deadline: 24/10/2027
Course type: Classroom teaching
Start date: 09/11/2027
Administrator: Thilde Møller Risgaard
4 + 2 days course
The course consists of 4 initial course days. Here after you are able to attend a 5 and 6 course day. Apply for those days when registering for the course.
Waiting list
Applicants are initially placed on a waiting list. Seats are allocated after application deadline.
The course P126/21 Linear mixed effects models and repeated measurements is being offered by the Graduate School of Health, Aarhus University, fall 2027.
Criteria for participation: University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).
Requirements for participation: Participation in the course requires completion of Basic Biostatistics part 1 and 2 or similar. The statistical programs Stata and R will be used throughout the course.
Aim: To give the participants an introduction to linear mixed effects models with focus on repeated measurements in experimental studies, and to enable the participants to choose a relevant statistical analysis of own data.
Learning outcomes: See the content.
Workload: The full workload of the course is expected to be 125 hours
Content:
- Process data for a statistical analysis of repeated measurements.
- Choose a relevant statistical model for a given research question and evaluate the assumptions behind the linear mixed effects model or repeated measurement analysis.
- Perform linear mixed effects analysis, variance component analysis or repeated measurement analysis based on the chosen model.
- Describe the results from the statistical analysis, and discuss the results in relation to the scientific question.
- Be aware of the limitations of the statistical methods presented in the course.
Instructors: Bo Martin Bibby and Simon Bang Mohr Kristensen
Venue: Aarhus University, Aarhus
Participation in the course is without cost for:
- PhD students, Health Research Year students from Aarhus University
- PhD students enrolled at partner universities of the Nordoc collaboration
- PhD students from other institutions in the open market agreement for PhD courses
Course dates:
- 09 November 2027 09:00 - 16:00
- 11 November 2027 09:00 - 16:00
- 16 November 2027 09:00 - 16:00
- 18 November 2027 09:00 - 16:00
- 23 November 2027 09:00 - 16:00
- 25 November 2027 09:00 - 13:00