• ECTS

    2 credits

  • Component

    Faculty of Science

Description

Generalized linear mixed models + methodology and experimental protocols to take into account a biological reality: non-normal law and pseudo-replication

Protocol optimization, power and uncontrolled 1st order risk: variable transformation, polynomial regression, link function, likelihood, model selection

Deviance analysis and goodness of fit

Incorporation of blocks, repeated measurements over time, taking into account spatial and temporal correlation, over-dispersion

Graphical representation of predictions.

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Objectives

Taking into account the biological complexity in the analyses and their graphic representations.

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Necessary pre-requisites

Mastery of linear models with several explanatory variables (VAS)

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Knowledge control

Continuous assessment : 100%.

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