PhD basic courses in transferable skills

 

Statistics IV: Generalized linear models, Umeå (4 ECTS)

The objective of the course is to give an overview of generalized linear models.

    On completion of the course, the student will be able to:
    • specify generalized linear models including conditions and assumptions;
    • select an appropriate linear model for a given problem;
    • carry out an analysis based on a generalized linear model in the statistical software R;
    • interpret and evaluate results correctly and draw reasonable conclusions;
    • clearly and concisely communicate results and conclusions.
    The course will cover the following topics:
    • Binomial and multinomial logistic regression;
    • Poisson regression;
    • Overdispersion and zero-inflation;
    • Generalized linear models and generalized linear mixed models.
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    Extent:
    4 credits

    Prerequisites
    Statistics III: Regression Analysis or equivalent. Admitted to a Ph.D. program at SLU. If you are not a Ph.D. student or not at SLU, contact Svetlana.Saarela@slu.se to check the availability of places in the course.

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