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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

    A list of the learning outcomes can be found in the syllabus. Please find the link to the syllabus on the right side of this page.


    Measurement of knowledge takes place through written examinations.


    Ayco Tack


    Tel: +46 8 16 3959

  • Schedule

    The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
  • 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)