Course Bayesian statistics with applications in genomics


Course leader: Jakob Skou Pedersen

Language: English

Graduate school: Faculty of Health

Graduate program: ClinFO

Course fee: 4,800.00 DKK

Status: Course is finished

Semester: Spring 2023

Application deadline: 20/02/2023

Start date: 20/03/2023

Administrator: Anne Fabricius

The course C295/02 Bayesian statistics with applications in genomics is being offered by the Graduate School of Health, Aarhus University, 2023.

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).

Recommended knowledge for participation: Some experience with programming and specifically the statistical programming language “R” are beneficial. 

Aim: To apply Bayesian statistics in the analysis of biological or clinical data.

Learning outcomes: 

  • To understand the principles and central concepts of Bayesian statistics
  • Be able to translate and formalize simple scientific questions to Bayesian models
  • Be able to perform Bayesian statistical analysis in R and Stan
  • To understand and apply a range of inference methods

Workload: The full workload of the course is expected to be 100 hours.


  • Bayesian statistics concepts (ideas, priors and posteriors, updating…, MAP and other measures on the posterior)
  • Statistical model formalism and specification in R / Stan
  • Inference: MAP using grid evaluation; perhaps normal approximations
  • More advanced Bayesian stats concepts (posterior predictive value, model selection)
  • Inference: MCMC -- basic concepts, implementation of MH sampler on some simple problem, and use in modern inference engines
  • Information criteria
  • Variational inference techniques
  • Comprehensive practical exercises and workshops using R and Stan on data analysis
  • Full day hackathon with focus on your own problem and data or locally available data and open problems
  • Guest lectures on statistical data analysis, problems in genomics, clinical data analysis

Instructors: Data analyst Simon Drue, PhD stud. Asta Rasmussen, and post doc Mikkel Hovden

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:

  • 20 March 2023 08:30 - 16:30
  • 21 March 2023 08:30 - 16:30
  • 22 March 2023 08:30 - 16:30
  • 23 March 2023 08:30 - 16:30
  • 24 March 2023 08:30 - 16:30