 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.
Programmes in which this activity is taught
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STAT3DA
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Diplôme d'études approfondies en statistique
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Other credits in programs
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STAT3DA
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Diplôme d'études approfondies en statistique
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(3 credits)
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STAT3DA/B
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diplôme d'études approfondies en statistique (biostatistique et épidémiologie)
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(3 credits)
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STAT3DA/E
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diplôme d'études approfondies en statistique (statistique et économétrie)
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(3 credits)
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STAT3DA/M
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Diplôme d'études approfondies en statistique (méthodologie de la statistique)
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(3 credits)
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STAT3DA/P
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diplôme d'études approfondies en statistique (pratique de la statistique)
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(3 credits)
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Mandatory
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