Statistics IV: Generalized linear models

Objectives:

The objective of the course is to give an overview of generalized linear models with applications in the agricultural sciences and related fields of research. On completion of the course, the student will be able to:

• specify generalized linear models including assumptions
• select an appropriate generalized linear model for a given problem
• use the statistical software R for generalized linear modelling
• interpret and evaluate results correctly and draw reasonable conclusions
• clearly and concisely communicate results and conclusions

Content:

The course will cover the following topics:

• binomial and multinomial logistic regression
• count regression (Poisson, negative binomial)
• generalized linear mixed models
• overdispersion and zero-inflation

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 Claudia von Brömssen to check the availability of places in the course.