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.
Objectives
Taking into account the biological complexity in the analyses and their graphic representations.
Necessary pre-requisites
Mastery of linear models with several explanatory variables (VAS)
Knowledge control
Continuous assessment : 100%.