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Statistics for biologists III

This course teaches advanced statistical methods for modern biology research.

This includes linear models with multiple independent variables, statistical models with several levels of random variation (repeated measures, mixed models), new computer intensive methods (e.g. bootstrap, MCMC), as well as Bayesian models and hypothesis testing. Hands-on application of the methods in biological research is in focus.

  • Course structure

    Teaching format

    The education consists of lectures and computer exercises.

    Learning outcomes

    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.


    Measurement of knowledge takes place through written examinations.


    Ayco Tack


    Tel: +46 8 16 3959

  • Course literature

    Note that the course literature can be changed up to two months before the start of the course.

    No mandatory course literature.

  • Contact

    Student office
    Study counsellor (advanced level)