Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 2023
Extent and Intensity
0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
Teacher(s)
Ing. Marek Brabec, PhD. (lecturer), prof. Mgr. Stanislav Pekár, Ph.D. (deputy)
prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
Guaranteed by
prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science
Prerequisites
( Bi5040 Biostatistics - basic course || Bi5560 Basics of statistics for biol. ) && Bi7920 Data analysis
Basic biostatistic methods, General Linear Model, Generalised Linear Models.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20
fields of study / plans the course is directly associated with
Course objectives
Aim of this lecture is to show how to analyse data with correlated structure by means of selected advanced methods.
Learning outcomes
Student will be able to: - characterize methods GLS, LME and GEE - from a linear predictor from available explanatorz variables - propose experimental design - aply these methods on data
Syllabus
  • 1) Correlated data. 2) Experimental design: Nested, Split-plot. Pseudoreplication. 3) Time Series analysis. 4) Spatial statistics. 5) Generalised Least Squares, Linear Mixed-Effect models, Generalised Estimating Equations. 6) Models with phylogenetical corrections.
Literature
    required literature
  • Pekár S. & Brabec M. 2012. Moderní analýza biologických dat. 2. Lineární modely s korelacemi v prostředí R. Masaryk University Press, Brno.
Teaching methods
Lectures include many specific examples of data analysis.
Assessment methods
Oral exam.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught once in two years.
Information on the per-term frequency of the course: jarní semestr lichých let.
The course is taught: every other week.
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2019, Spring 2021, Spring 2025.
  • Enrolment Statistics (Spring 2023, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2023/Bi7921