ECTS: 0.8
Course leader: Eva Greibe
Language: English
Graduate school: Faculty of Health
Graduate program: ClinFO
Course fee: 960.00 DKK
Status: Course is finished
Semester: Spring 2023
Application deadline: 01/01/2023
Cancellation deadline: 12/01/2023
Course type: Classroom teaching
Start date: 26/01/2023
Administrator: Thilde Møller Risgaard
Waiting list
All applicants will be placed on waiting list. This course is primarily for research-year medical students and Talent
The course C262/19 Get ready to work with Biostatistics (RY and Talent) is being offered by the Graduate School of Health, Aarhus University, spring 2023.
Criteria for participation: University degree in medicine, dentistry, nursing, or master’s degree in other fields and/or postgraduate research fellows (only for research-year medical students and Talent).
Aim: To achieve knowledge on data documentation, basic statistical tests and the assumptions for performing these tests.
Learning outcomes:
- How to test for assumptions for basic statistical tests
- How to perform basic statistical tests
- How to present results in tables
- How to perform a sample size calculation
Workload: The full workload of the course is expected to be 19 hours
Content: The participant will gain knowledge on:
- Different types of variables (continuous and categorical variables)
- Descriptive statistics
- Test for Gaussian distribution
- Sample size calculation
- Parametric statistics and non-parametric statistics - paired data - unpaired data
- Chi2 tests and Fishers exact test
- Repeated measurements: One-way analyses
- Presentation of data using different plots
- Regression analysis
Instructors: Ole Halfdan Larsen, Peter Henrik Nissen, Eva Greibe
Venue: Aarhus University, Aarhus
Participation in the course is without cost for:
- PhD students, Health Research Year students and Health Research Honours Programme 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:
- 26 January 2023 08:15 - 15:00
- 09 February 2023 08:15 - 14:15