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Advanced linear models [STAT3221]
[15h] 3 credits

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This course is taught in the 2nd semester

Language:

English

Level:

Third cycle

>> Aims
>> Main themes
>> Content and teaching methods
>> Other credits in programs

Aims

This is a third 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 :
- an explicit modelling of dispersion as a function of available covariates.
- an amendment of (generalised) linear models to deal with clustered or longitudinal data.
These techniques will be illustrated by the analysis of datasets using SAS or S-Plus.

Main themes

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

Content and teaching methods

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

Other credits in programs

STAT3DA/B

diplôme d'études approfondies en statistique (biostatistique et épidémiologie)

(3 credits)

STAT3DA/E

diplôme d'études approfondies en statistique (statistique et économétrie)

(3 credits)

STAT3DA/M

Diplôme d'études approfondies en statistique (méthodologie de la statistique)

(3 credits)

STAT3DA/P

diplôme d'études approfondies en statistique (pratique de la statistique)

(3 credits)

Mandatory



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Person in charge : Jean-Louis Marchand - Information : issec@stat.ucl.ac.be
Last update :13/03/2007