This course teaches advanced statistical methods for modern biology research.
The course covers advanced statistical concepts and methods that are currently in general use in biological research. The topics include linear models with one or more continuous and categorical variables, generalized linear models (for binomial and count data), statistical models for designs with random effects and multiple hierarchical levels (mixed models, blocks, nested designs and repeated measures). Bayesian statistics and the similarities and differences between Bayesian approaches and classical model fitting are also covered. The course aims at the application of statistical methods to research in the biological sciences
It is expected that the student after taking the course will be able to:
- show insights into the most regularly used advanced statistical methods in biological research and show an understanding of the importance of such methods for the analysis of biological data
- apply these methods to biological data
- interpret the results of both classical and Bayesian statistical analyses
Knowledge equivalent to Biological statistics II, 7,5 ECTS credits (BL7048). Swedish upper secondary school course English B/English 6 or equivalent. Information about entry requirements on universityadmissions.se