Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 2011 - only for the accreditation
Extent and Intensity
0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
prof. Mgr. Stanislav Pekár, Ph.D. (seminar tutor)
Mgr. David Zelený, Ph.D. (seminar tutor)
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.
Prerequisites
Bi5040 Biostatistics - basic course && Bi8190 Vizualization of biolog. data && Bi7920 Data analysis && Bi7540 Data anal. commun. ecology
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
there are 9 fields of study the course is directly associated with, display
Course objectives
Aim of this lecture is to show how to analyse correlated data using of selected advanced methods.
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.
Assessment methods (in Czech)
Výuka je postavena na řešení konkrétních biologických příkladů. Zkoušení je průběžné - v podobě řešení domácích úkolů. Návštěva přednášek je doporučená.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2019, Spring 2021, Spring 2023, Spring 2025.