ECTS
2 credits
Component
Faculty of Science
List of courses
Your choice: 1 of 2
Advanced data processing
2 creditsDescription and inference
2 credits
Advanced data processing
ECTS
2 credits
Component
Faculty of Science
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.
Description and inference
ECTS
2 credits
Component
Faculty of Science
The objective of this course is to provide the necessary basis in statistics to follow all the more elaborate modules of the curriculum, so it is a general refresher. Descriptive statistics are reviewed (quantile, polygon of cumulative frequencies, estimators from samples), simple tests are presented, essential graphs for univariate and multivariate data are presented, the general principle of a statistical test, the hypothesis plan, the notion of p-value, first and second species risk are presented. In practical exercises, students are also brought up to speed in the R environment.