• ECTS

    4 credits

  • Component

    Faculty of Science

Description

"General linear models with 1 or more explanatory random variables: from translating the figure that answers the biological question to the statistical model, i.e., taking into account many effects and knowing how to interpret them

general properties seen through regression and 1-factor ANOVA (R2, F, ddl, least squares, likelihood, diagnosis, validation, goodness of fit, interpretation of effect sizes); nested and cross-factor ANOVA, multiple regression (notion of parameter and effects, and interaction)

incorporation of the dependence of explanatory random variables, confounding of effects (quantitative for multiple regression, and unbalanced designs for ANOVA)".

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Objectives

Construction of linear models with one or more explanatory variables appropriate to the structure of biological data from an experimental protocol or collected in natural populations (with dependence, co-linearity, spatial or temporal structure).

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Necessary pre-requisites

Hypothesis testing mastered, cf UE DESINF (or equivalence)

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Knowledge control

Continuous assessment : 100%.

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