Univariate & multivariate analysis

Univariate & multivariate analysis

  • ECTS

    5 crédits

  • Composante

    Collège Sciences et Technologies pour l’Energie et l’Environnement (STEE)

  • Volume horaire



This short course introduces students to biostatistics as applied to ecotoxicological studies. The basic principles and methods used in biostatistics are covered in this short course. This includes the technical qualifications necessary for exploring, analysing and interpreting data from both controlled experiments, in particular standardized ecotoxicity tests, and field monitoring. Beyond conventional tests such as ANOVA and its variants, an overview of other less conventional approaches will be provided to broaden statistical toolbox and ensure students to make proper use of their data.


Topics covered include:

  • Statistical approach.
  • Uni- and multivariate statistics to monitor toxicants and estimate their effects on organisms.
  • OECD guidance on the statistical analysis of ecotoxicity tests: comparison of the no/lowest observed effect concentrations approach (NOEC/LOEC) to dose-response approaches and the estimation of effective concentrations (ECx).
  • Basic use of R software.
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  • Explore experimental design, identify main statistical methods and choose the most appropriate one.
  • Verify assumptions and interpret results.
  • Analyse ecotoxicity tests and ecological data.
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Pré-requis obligatoires

Basic statistical knowledge

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Contrôle des connaissances

Evaluation Continue Intégrale (ECI) 100%

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Compétences visées

Bloc 1

Traiter des données dans des logiciels génériques (R) et spécifiques


Bloc 3

Communiquer autour de connaissances scientifiques avec des publics variés, à l'oral et l'écrit, en Français et en Anglais


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- N. Gotelli. 2004. A primer of ecological statistics, Sinauer Associates, Sunderland, Massachusetts.

- C. Dytham. 2003.          Choosing and using statistics : a biologist’s guide, Blackwell, Malden (MA).

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