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.
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
Magnus.Ekstrom@slu.se to check the availability of
places in the course.
Course homepage
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