Under construction.
More information:
Course content
Under construction.
Target audience / Prerequisites
This advanced course is intended for researchers, data analysts, and professionals who already have experience with multilevel analysis. Participants should be familiar with the principles of mixed-effects models for continuous outcomes and have prior experience performing these analyses in R.
The course is suitable for participants who have previously completed the Introduction to Multilevel Analysis course or who have an equivalent level of knowledge and practical experience. Familiarity with fitting, interpreting, and evaluating linear mixed-effects models in R is assumed.
As this is an advanced course, introductory concepts such as the rationale for multilevel modelling, model specification, and the interpretation of basic mixed-effects models will not be covered. The focus is on extending these concepts to generalized linear mixed models (GLMMs) and generalized estimating equations (GEEs) for the analysis of non-continuous outcomes.
Time and Place
December 17-18, 2026 from 9.30 until 15.00 at the latest, with a one hour lunch break around 12.00
This course is fully ONLINE
Instructors
Prof. dr. Steven Abrams and dr. Jesse Berwouts
Price
| PhD student ADS | € 50 |
| UA-affiliated | € 90 |
| Academic non-UA | € 160 |
| Nonprofit/public sector | € 250 |
| Private sector | € 500 |
Exam
For this course, we offer the possibility to take an exam.
For the PhD students in the faculties IOB and Applied Economics, this is a requirement to obtain a credits for these courses, but people from other faculties are allowed as well.
If you are interested in taking the exam, check the wants-to-take-exam-box in the registration form.
Participating in the exam costs 10€, which is deduced automatically from your educational credit.