Online course: Introduction to linear mixed-effects models and GLMM with R. 15-19 March 2027.
This is an online live course.
Dates and times:
- 15-19 March 2027
- 14.00 - 20.00 (UK time)
We will begin 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 (including proportions with zeros and ones via ordered beta models), and continuous data with or without zeros, using the Gaussian, Poisson, negative binomial, generalised Poisson, Bernoulli, binomial, beta, gamma, Tweedie, and ordered beta distributions. Bonus material (with on-demand video): 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.
The course website contains on-demand video for most exercises and all theory presentations.
Pre-required knowledge
A working knowledge of R, multiple linear regression, and basic GLMs (such as Poisson, negative binomial, and Bernoulli GLMs) is recommended. This course is designed to be accessible and non-technical, with revision material available through on-demand videos to support your learning.
1 hour face-to-face
The course includes a 1-hour face-to-face video chat with the instructors (to be used after the course). You are invited to apply the statistical techniques discussed during the course on your own data and if you encounter any problems, you can ask questions during the 1-hour face-to-face chat.
A discussion board (access for 12 months) allows for interaction on course content between instructors and participants.
Course content: See flyer
For terms and conditions, see: