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Advenced linear models [ LSTAT2210 ]


4.0 crédits ECTS  15.0 h + 5.0 h   1q 

Teacher(s) Legrand Catherine ; Desmet Lieven (compensates Legrand Catherine) ;
Language French
Place
of the course
Louvain-la-Neuve
Prerequisites

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.

Main themes

- Review of generalised linear models - Dispersion models - Linear mixed models. - Generalised linear mixed models. - Autoregressive models. - Marginal models and generalised estimating equations.

Aims

This is a second cycle course giving a critical overview of recent scientific developments in the field. It will deal with present extensions of linear and generalised linear models. The considered extensions will be of two types : - a explicit modelling of dispersion as a function of available covariates. - a amendment of (generalised) linear models to deal with clustered or longitudinal data.

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.

Content - Review of generalised linear models - Dispersion models - Linear mixed models. - Generalised linear mixed models. - Autoregressive models. - Marginal models and generalised estimating equations.
Faculty or entity
in charge
> LSBA
Programmes / formations proposant cette unité d'enseignement (UE)
  Sigle Crédits Prérequis Acquis
d'apprentissage
STAT9CE 4 -
Master [120] in Statistics: Biostatistics BSTA2M 4 LSTAT2020 ET LSTAT2120
Master [120] in Statistics: General STAT2M 4 -
Master [120] in Business engineering INGE2M 5 -
STAT2FC 4 -


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