Univariate and multivariate analysis

Présentation

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.

Objectifs

Aims

Investigating ecotoxicological data.

Objectives

At the end of this Unit, you should understand:

  1. Basics of experimental and sampling design.
  2. Main statistical approaches to monitor toxicants and estimate their effects on organisms.
  3. Assumptions and interpretation of statistical methods.

Volume horaire

  • Cours Magistral : 22h
  • Travaux Dirigés : 23h

Compétences visées

At the end of this Unit, you should be able to:

  1. Choose the most appropriate statistical method to answer a specific question.
  2. Use R software to analyse data.
  3. Interpret statistical results.

Examens

1st : continuous assessment

  • Laboratory work and report (100%)

2nd exam : oral presentation

By completion of University Unit Evaluation Questionnaire by students, annual assessment by Unit Coordinator.

Syllabus

Topics covered include:

  • Basic use of R software.
  • Basic and advanced statistical approaches.
  • Uni- and multivariate statistics.
  • OECD guidance on the statistical analysis of ecotoxicity tests: no/lowest observed effect concentrations (NOEC/LOEC), dose-response, effective concentrations (ECx).

Bibliographie

- 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).

Informations complémentaires

Work in autonomy: 10 to 20h

En bref

Crédits ECTS 5.0

Contact(s)

Composante

Responsable(s)

Vignon Matthias (MAITRE DE CONFERENCES DES UNIVERSITES)

Responsable M2 DYNEA

Collège STEE - Sciences Anglet -
1 Allée du Parc Montaury
64600 ANGLET
Tél : +33 559574400

Email : matthias.vignon @ univ-pau.fr

RECAPET Charlotte

COLLEGE STEE - CAMPUS D'ANGLET
- ALLEE PARC MONTAURY
64600 ANGLET

Liquet Benoit (PROFESSEUR DES UNIVERSITES)

UFR Sciences et Techniques Côte Basque
1 Allée du Parc Montaury
64600 ANGLET
Tél : +33 559574449

Email : benoit.liquet @ univ-pau.fr

Lieu(x)

  • Anglet