This is an onsite course for IMR staff and students, with the option for non-IMR participants to join online via Zoom.
Open online live course: An introduction to the World of GLMM.
- Dates: 19 - 23 May 2025.
- Times: 08.30 - 15.30 Norwegian time
- Included: 1 hour face-to-face video chat about your data. See flyer for details and conditions.
Course format
- Live online teaching is from 8.30 - 15.30 Norwegian time.
- The course includes a few theory presentations along with a large number of exercises using real data sets.
- Detailed, annotated R code will be provided, and a brief period will be set aside for practice before each exercise is discussed in depth.
Brief outline
We will begin our journey into the world of Generalised Linear Mixed-Effects Models (GLMMs) with a step-by-step revision exercise on data exploration and linear regression. Next, we will introduce linear mixed-effects models, which are essential for analysing hierarchical or clustered data, such as multiple observations from the same vessel, catch, pen in a fish farm, animal, site, lake, or area. Keywords at this stage are dependency, pseudo-replication, model diagnostics, model interpretation and model visualisation.
In the second part of the course, GLMMs are applied to count data, binary data (e.g. absence/presence of a disease), proportional data (e.g. %coverage), and continuous data with or without zeros, using the Gaussian, Poisson, negative binomial, generalised Poisson, Bernoulli, binomial, beta, gamma, and Tweedie distributions. Time allowing, we also discuss power analysis to determine the optimal number of observations per cluster and the optimal number of clusters.
To reinforce your learning, the course includes approximately 15 practical exercises, allowing you to apply these methods to real fisheries and aquatic datasets, as well as more general ecological datasets. By the end, you will be equipped to analyse and interpret complex ecological data with confidence, providing valuable insights for your research.
The course fee includes a 1-hour face-to-face video chat with the instructors. You can discuss your own data during this session.
For more information, see the course flyer: Flyer2025_05_IMR_GLMM.pdf