Palacký University Olomouc
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for academic year 2024/2025
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Course: Compositional Data Analysis in Kinanthropology

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Course title Compositional Data Analysis in Kinanthropology
Course code KMA/PGKIN
Organizational form of instruction Lecture + Exercise
Level of course unspecified
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Hron Karel, prof. RNDr. Ph.D.
Course content
1. Sample space, compositional data as methodological concept 2. Geometric properties of compositional data 3. Exploratory data analysis and visualization 4. Multivariate statistics with compositional data: cluster analysis, PCA, correlation analysis, classification 5. Regression analysis 6. Methods for high-dimensional compositional data 7. Compositional tables 8. Preprocessing of compositional data (zeros and missing values) 9. Bayes spaces: a tool for analyzing probability density functions.

Learning activities and teaching methods
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming)
  • Preparation for the Exam - 40 hours per semester
Learning outcomes
Aim of this subject is to introduce the logratio methodology for statistical analysis of compositional data. Key concepts will be illustrated using real-world data from the time-use epidemiology.
Application Application of statistical analysis of compositional data in kinanthropology.
Prerequisites
Basic knowledge of applied statistics.

Assessment methods and criteria
Oral exam

Oral exam: to understand key concepts and methods of statistical analysis of compositional data + perform a comprehensive data analysis from the field of kinanthropology.
Recommended literature
  • A. Buccianti, V. Pawlowsky-Glahn. (2011). Compositional data analysis: Theory and applications. Wiley, Chichester.
  • Dumuid, D., Pedisic, Z., Stanford, T.E., Martín-Fernández, J.A., Hron, K., Maher, C., Lewis, L.K., Olds, T.S. (2019). The compositional isotemporal substitution model: a method for estimating changes in a health outcome for reallocation of time between sleep, physical activity, and sedentary behaviour. Statistical Methods in Medical Research, 28 (3), 846-857.
  • Dumuid, D., Stanford, T.E., Olds, T., Lewis, L.K., Martín-Fernández, J.A., Pedisic, Z., Hron, K., Katzmarzyk, P.T., Barreira, T., Broyles, S.T., Chaput, J.P., Fogelholm, M., Hu, G., Lambert, E.V., Maia, J., Sarmiento, O.L., Standage, M., Tremblay, M.S., Tudor-Locke, C., Maher, C. (2018). Compositional data analysis for physical activity, sedentary time and sleep research. Statistical Methods in Medical Research, 27 (12), 3726-3738.
  • J. Aitchison. (1986). The statistical analysis of compositional data. Chapman and Hall, London.
  • K.G. van den Boogaart, R. Tolosana-Delgado. (2013). Analyzing compositional data with R. Springer, Heidelberg.
  • P. Filzmoser, K. Hron, M. Templ. (2018). Applied compositional data analysis. Springer, Cham.
  • V. Pawlowsky-Glahn, J.J. Egozcue, R. Tolosana-Delgado. (2015). Modeling and analysis of compositional data. Wiley, Chichester.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Palacký University Olomouc, date of update: 20.01.2025 23:59. Data created for academic year 2024/2025