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

- 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.
- 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.

*Det finns inga kurstillfällen för denna kurs just nu*

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