non-FLAMES courses

Apart from the FLAMES course, each university offers several courses and programs in statistics, methodology and related fields. Prices for these courses are set by the local organizers, and may not be free of charge for PhD students and postdoctoral researchers.

Vrije Universiteit Brussel
Ghent University
Master programs

Master in Statistical Data Analysis


Short courses

Institute for Continuing Education


Introduction to Linear Mixed Effects Models and GLMM with R-INLA

Together with Highland Statistics Ltd. we are organizing a course on “Introduction to Linear Mixed Effects Models and GLMM with R-INLA”.


This course has three parts:
Part one begins with a brief revision of multiple linear regression, followed by an introduction to Bayesian analysis and how to execute regression models in R-INLA. Linear mixed effects models to analyze nested data are then explained, followed by a series of mixed modeling exercises in R-INLA. Nested data means multiple observations from the same animal, site, area, nest, patient, hospital, vessel, lake, hive, transect, etc.

In the second part of the course, GLMMs are applied on count data, binary data (e.g. absence/presence of a disease), proportional data (e.g. % coverage) and continuous data (e.g. biomass or distance) using the Poisson, negative binomial, Bernoulli, binomial, beta and gamma distributions.
In the third part of the course we show how R-INLA can be used to execute GLMs with temporal dependency for the analysis of univariate and multivariate time series.

For more details, please consult the attached accompanying pdf files.


​The course will start on Monday the 2th of December and end on Friday the 6th of December 2019 and will take place at the Campus Schoonmeersen, Building C – PC GSCHC.2.008 (2nd Floor)
To get there (10-minute walk from Gent St Pieters Station):
· by car: Valentin Vaerwyckweg 1, 9000 Gent
· on foot, by bike or public transport: Voskenslaan 270, 9000 Gent.
From Monday to Thursday the course will run from 9h to 16h with a 1hour lunch break between 12h and 13h and two 20-minute coffee breaks (one in the morning and one in the afternoon). On Friday, the course will run from 9h to 12h and there will be no lunch.


​Free coffee will be provided everyday and a welcome lunch on the first day in the resto of Building C. You will take care of your lunch from Tuesday onwards. All other practical information will be communicated by email before the start of the course.
To register for this course, go to
The course will be taught by Alain Zuur (Statistician) and Elena Ieno (Biologist).

Hasselt University
Master programs

Master of Statistics

KU Leuven
University of Antwerp