The Ph.D. course will be given as a distance course, 4 Nov - 6 Dec 2024.
Content
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
Prior knowledge
Statistics III: Regression Analysis or equivalent
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
