ECTS: 4
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
Cancellation deadline: 06/03/2023
Course type: Classroom teaching
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.
Content:
- 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