nireEHU 
Subject
Univariate and multivariate analysis
General details of the subject
- Mode
- Face-to-face degree course
- Language
- English
Description and contextualization of the subject
This course introduces students to biostatistics as applied to ecotoxicological studies. The basic principles and methods used in biostatistics are covered. 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 (e.g. GAM, Random Forest, t-sne, MDS) will be provided to broaden students¿ statistical toolbox and ensure they make proper use of their data.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.
Teaching staff
| Name | Institution | Category | Doctor | Teaching profile | Area | |
|---|---|---|---|---|---|---|
| ORTIZ ZARRAGOITIA, MAREN | University of the Basque Country | Profesorado Agregado | Doctor | Bilingual | Cellular Biology | maren.ortiz@ehu.eus |
Competencies
| Name | Weight |
|---|---|
| Que el estudiante sea capaz de diseñar y elaborar modelos numéricos, estadísticos y computacionales en lo referente a los ciclos biogeoquímicos de los contaminantes químicos ambientales, sus efectos sobre los seres vivos y los procedimientos de evaluación de riesgo e impacto. | 33.0 % |
| Que el estudiante adquiera destreza básica en técnicas específicas. | 33.0 % |
| 33.0 % |
Study types
| Type | Face-to-face hours | Non face-to-face hours | Total hours |
|---|---|---|---|
| Lecture-based | 22 | 33 | 55 |
| Applied laboratory-based groups | 23 | 34.5 | 57.5 |
| Industrial workshop | 5 | 7.5 | 12.5 |
Training activities
| Name | Hours | Percentage of classroom teaching |
|---|---|---|
| Application Workshops | 12.5 | 40 % |
| Laboratory/Field | 57.5 | 40 % |
| Lectures | 55.0 | 40 % |
Assessment systems
| Name | Minimum weighting | Maximum weighting |
|---|---|---|
| Practical tasks | 0.0 % | 100.0 % |
Learning outcomes of the subject
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.
Temary
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).
Bibliography
Basic bibliography
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).
J. Faraway. 2006. Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. Chapman & Hall/CRC, cop.
B.S. Everitt. 2010. A handbook of statistical analyses using R. Chapman & Hall/CRC, cop.
L. Fahrmeir. 2001. Multivariate statistical modelling based on generalized linear models. Springer, New York, Berlin, Paris