Course Get ready to work with Biostatistics

ECTS: 0.7

Course leader: Eva Greibe

Graduate school: Faculty of Health

Graduate program: ClinFO

Course fee: 840.00 DKK

Status: Course is open for application

Semester: Fall 2022

Application deadline: 29/09/2022

Start date: 27/10/2022

Administrator: Thilde Møller Risgaard

The course C262/17 Get ready to work with Biostatistics is being offered by the Graduate School of Health, Aarhus University, fall 2022.

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).

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 18 hours.


  • 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 and unpaired data
  • Chi2 tests and Fishers exact test
  • Brief introduction to Repeated Measurements: One-way analyses
  • Presentation of data using different plots
  • Brief introduction to Regression analysis

Instructors: Peter Nissen, Ole Halfdan Larsen, Eva Greibe

Venue: Au Conference centre, Fredrik Nielsens vej 4, 8000 Aarhus C

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:

  • 27 October 2022 08:15 - 15:00
  • 10 November 2022 08:15 - 14:15