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Module Number:
| 12954
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| Module Title: | Biostatistics |
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Biostatistik
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| Department: |
Faculty 2 - Environment and Natural Sciences
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| Responsible Staff Member: | -
Prof. Dr. rer. nat. Birkhofer, Klaus
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| Language of Teaching / Examination: | English |
| Duration: | 1 semester |
| Frequency of Offer: |
Every summer semester
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| Credits: |
6
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| Learning Outcome: | The Module Biostatistics provides comprehensive introduction to data analysis for the applied sciences, especially for ecology, with a particular focus on R programming (R software). |
| Contents: | Part "Experimental design”
Correct experimental design is the basis for high-quality research. Students learn about basic types of experimental designs and their advantages and limitations:
- Random sampling
- Non-random sampling (block design, longitudinal data, latin square, split plot)
- Pseudoreplication
Part "Descriptive statistic"
The application of descriptive statistics allows to gain quantitative insights into large data sets. Students learn about:
- Data classification: discrete (binary, nominal, ordinal) and continuous (interval, ratio)
- Basic concepts of data distribution
- Measures of central tendency: mean, median, or mode
- Measures of variability: range, quartiles, absolute deviation, variance and standard deviation
- Inferential statistics, normal and non-normal distributions and calculation of probabilities
Part "Univariate analysis"
Students will gain substantial theoretical knowledge of basic statistical analyses and associated inference and evaluation methods. Students learn about:
- Summary of assumptions
- Difference between models and statistical tests
- T-test and ANOVA (Analysis of variance)
- Correlation and regression analysis
- Non parametric analysis (Wilcoxon, Mann-Witney-U, Kruskal-Wallis)
- General and generalized linear models
- Introduction to mixed models
Part "Multivariate analysis"
Students can learn the statistical technique for analysing data that resulting from more than one variable. Students learn about:
- Principal component analysis (PCA)
- Non-metric multidimensional scaling (NMDS)
- Redundancy analysis (RDA)
- Canonical correspondence analysis (CCA)
Part "Representation of results: graphs and tables"
Basics for a proper presentation of the results for publication in journals.
Part "Introduction to R"
The course will be taught using the R program. R is a powerful software system developed for analysing and graphically displaying data. R is an integrated programming environment, allowing users to script their own functions. Students learn about:
- Comprehensive introduction to the essentials of R
- Programing in R language: syntax parsing, evaluation, object-oriented programming, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code presenting the content of scientific studies
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| Recommended Prerequisites: | None |
| Mandatory Prerequisites: | None |
| Forms of Teaching and Proportion: | -
Lecture
/ 2 Hours per Week per Semester
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Exercise
/ 2 Hours per Week per Semester
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Self organised studies
/ 120 Hours
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| Teaching Materials and Literature: | - Gotelli, N. J. & Ellison A. M. 2013 A primer of ecological statistics. Sunderland
- Dytham, C. 2011 Choosing and using statistics: a biologist's guide. Chichester
- Quinn, G. P. & Keough, M. J. 2003 Experimental design and data analysis for biologists. Cambridge
- Zuur, A. F., Ieno, E. N. & Smith, G. M. 2007 Analysing ecological data. New York
- 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
- Crawley, M. 2013 The R book. Chichester Crawley, M. 2012 Statistik mit R. Weinheim
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| Module Examination: | Final Module Examination (MAP) |
| Assessment Mode for Module Examination: | Written examination, 90 min.
In case of regular (documented) attendance in the exercises, additional 10 % as a bonus is possible. |
| Evaluation of Module Examination: | Performance Verification – graded |
| Limited Number of Participants: | None |
| Part of the Study Programme: | -
Abschluss im Ausland /
Environmental and Resource Management /
keine PO
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| Remarks: | No offer in SS 2025!
All students have to bring their own laptop!
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| Module Components: | - 240782 Lecture/Exercise Biostatistics
- 240784 Examination Biostatistics
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| Components to be offered in the Current Semester: | |
