Introduction to mixed-effects models using R

[5 half days] - [starts on 10-05-2027 at 09:30] - [English] - []

Does your data carry a complex structure that does not allow the use of traditional models ? Maybe do they feature random factors or repeated measures ? Time to switch to the mixed-effects models !

Mixed models are a family of models with both fixed and random effects. They make it possible to take into account the correlation between several observations, in particular the temporal aspect of the data.

Training aims

Prerequisites
By registering for this training, you commit to a level of knowledge equivalent to the following training(s):
Introduction to data analysis with R

Content

• Simple structures :
  
  • Models with a random intercept
  • Models with a random intercept and a random slope

• More specific structure of variance-covariance matrix useful for longitudinal or spatial data
• Hierachical structures with more than 2 levels

Location
: To be specified -

Attendance
The training is open to all but requires prior registration.

Time slots for training
10-05-2027 from 09:30 to 12:30
11-05-2027 from 09:30 to 12:30
12-05-2027 from 09:30 to 12:30
13-05-2027 from 09:30 to 12:30
14-05-2027 from 09:30 to 12:30

Rate
UCLouvain member (with an internal account), UCLouvain student : Training available free of charge but registration in advance is required.
Administrative fees will be applied in case of late cancellation.
Invoice paid by university, UCLouvain clinic member, Researcher, SHS Namur member : 175 euros per day for a total of 437 euros
Company, Non-UCLouvain member : 270 euros per day for a total of 675 euros

Financial support
This training course is recognized by the IABE, enabling participants to earn CPD points.
(Note that this is true for all SMCS courses.)

For more information (open)