Applied Biostatistics for Environmental Data
Angewandte Biostatistik für Umweltdaten
6 CPWinterEN
Contents
Part 1. Introduction to experimental design Design principles Random sampling, block design, nested design, split-plot… Replication and Pseudoreplication Part 2. Introduction to R Introduction to the essentials of R Basics: Syntax, packages, writing codes & functions Data handling, analysis and visualisation (graphs and tables) Exercises Part 3. Distributions, Parameters and Estimators Data classification & distribution Measures of central tendency: mean, median … Measures of variability: variance and standard deviation Likelihood and Akaike Information Criterion Exercises Part 4. Univariate analysis T-test and ANOVA (Analysis of variance) Correlation and regression analysis Non parametric analysis (Wilcoxon, Mann-Witney-U, Kruskal-Wallis) linear models & introduction to mixed models Exercises Part 5. Multivariate analysis Principal component analysis (PCA) Non-metric multidimensional scaling (NMDS) Redundancy analysis (RDA) & Canonical correspondence analysis (CCA) Exercises
Learning outcomes
This module will provides a theoretical introduction to data analysis and results interpretation, statistical methods and tools for environmental and biological sciences, as well as applied tools with a particular focus on R programming (R software).
Assessment
- 10 Exercises during the courses (50%)) - Individual project presentation, 15 min. (50%)
Literature (1)
- Zuur, A. F., Ieno, E. N. & Smith, G. M. 2007 Analysing ecological data. New York Gotelli, N. J. & Ellison A. M. 2013 A primer of ecological statistics. Sunderland Dormann, C. 2020 Environmental Data Analysis: An Introduction with Examples in R. Cham Lakicevic, M., Povak, N. & Reynolds, K. M. 2020 Introduction to R for terrestrial ecology: basics of numerical analysis, mapping, statistical tests and advanced application of R, Cham Wilke C.O. 2019 Fundamentals of Data Visualization, O’Reilly Wickham H& Grolemund G, 2017 R for Data Science, O’Reilly
Remarks
Please bring your laptop!
Source: BTU's module description · retrieved 29 Sep 2026Original