Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2025
- 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 Basic statistics for biol. II ) && 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
- there are 11 fields of study the course is directly associated with, display
- 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.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 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
- there are 11 fields of study the course is directly associated with, display
- 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.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2021
- 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
- there are 11 fields of study the course is directly associated with, display
- 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.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2019
- Extent and Intensity
- 0/2. 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 && Bi8190 Visualization of biolog. data && 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
- there are 8 fields of study the course is directly associated with, display
- Course objectives
- Aim of this lecture is to show how to analyse data with correlated structure by means 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.
- Teaching methods (in Czech)
- Výuka je postavena na řešení konkrétních biologických příkladů.
- Assessment methods (in Czech)
- Zkoušení je průběžné - v podobě řešení domácích úkolů. Návštěva přednášek je doporučená.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
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.
Bi7921 Advanced statistical methods for analysis of biological data
Faculty of ScienceSpring 2017
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
Ing. Marek Brabec, PhD. (lecturer), prof. Mgr. Stanislav Pekár, Ph.D. (deputy)
Mgr. Petr Šmarda, 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 && Bi8190 Visualization of biolog. data && 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
- there are 8 fields of study the course is directly associated with, display
- Course objectives
- Aim of this lecture is to show how to analyse data with correlated structure by means of selected advanced methods, univariate or multivariate. Specifically data with temporal, spatial or phzlogeentic dependence (LME, GLS, GEE), as well as models with nonlinear predictor(NLS, GNLS, NLME, GAM).
- Learning outcomes
- Student will know: - how to prepare an exparimental design - use advanced statistical methods
- Syllabus
- 1) Correlated data. 2) Experimental design: Nested, Split-plot. Pseudoreplication. 3)Random effects. 4) Models with temporal dependence. 5) Models with spatial dependence. 6) Models with phylogenetic dependence. 7) Mixed-effect models like GLS, LME and GEE. 8) Models with non-linear predictor (NLS, GNLS). 9) Models with random effects and non-linar predictor (NLME). 10) Additive models (GAM).
- Literature
- Pekár S. & Brabec M. 2012. Moderní analýza biologických dat. 2. Lineární modely s korelacemi v prostředí R. Masaryk University Press, Brno.
- Pinheiro J.C. & Bates D.M. 2000. Mixed-Effects Models in S and S-PLUS. New York: Springer Verlag.
- Teaching methods
- Beside theory, lectures are based on conctere data and ther analysis.
- Assessment methods
- Continuous examination by means of homework. Final exam is oral.
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
The course is taught: in blocks.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2015
- Extent and Intensity
- 0/2. 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 && Bi8190 Visualization of biolog. data && 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
- there are 8 fields of study the course is directly associated with, display
- Course objectives
- Aim of this lecture is to show how to analyse data with correlated structure by means 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.
- Teaching methods (in Czech)
- Výuka je postavena na řešení konkrétních biologických příkladů.
- Assessment methods (in Czech)
- 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 other week.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2014
- Extent and Intensity
- 0/2. 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 && Bi8190 Visualization of biolog. data && 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
- there are 8 fields of study the course is directly associated with, display
- Course objectives
- Aim of this lecture is to show how to analyse data with correlated structure by means 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.
- Teaching methods (in Czech)
- Výuka je postavena na řešení konkrétních biologických příkladů.
- Assessment methods (in Czech)
- 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 other week.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2013
- Extent and Intensity
- 0/2. 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 && Bi8190 Vizualization of biolog. data && 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
- there are 8 fields of study the course is directly associated with, display
- Course objectives
- Aim of this lecture is to show how to analyse data with correlated structure by means 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.
- Teaching methods (in Czech)
- Výuka je postavena na řešení konkrétních biologických příkladů.
- Assessment methods (in Czech)
- Zkoušení je průběžné - v podobě řešení domácích úkolů. Návštěva přednášek je doporučená.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
The course is taught: every other week.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2012
- Extent and Intensity
- 0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
- Teacher(s)
- Ing. Marek Brabec, PhD. (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 - Timetable
- Mon 12:00–13:50 BR2
- Prerequisites
- Bi5040 Biostatistics - basic course && Bi8190 Vizualization of biolog. data && 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
- there are 11 fields of study the course is directly associated with, display
- Course objectives
- Aim of this lecture is to show how to analyse data with correlated structure by means 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)
- Study Materials
The course is taught once in two years.
Information on the per-term frequency of the course: jarní semestr lichých let.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2011
- 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. (alternate examiner)
Ing. Marek Brabec, PhD. (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. - Prerequisites
- Bi5040 Biostatistics - basic course && 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
- 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 data with correlated structure by means 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)
- Study Materials
The course is taught annually.
The course is taught: every week.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2010
- Extent and Intensity
- 0/2/1. 2 credit(s) (plus 1 credit for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, 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.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2024
The course is not taught in Spring 2024
- 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
- there are 11 fields of study the course is directly associated with, display
- 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.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2022
The course is not taught in Spring 2022
- 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
- there are 11 fields of study the course is directly associated with, display
- 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.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2020
The course is not taught in Spring 2020
- 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
- there are 11 fields of study the course is directly associated with, display
- 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.
Bi7921 Advanced methods of analysis of biological data
Faculty of Sciencespring 2018
The course is not taught in spring 2018
- Extent and Intensity
- 0/2. 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 && Bi8190 Visualization of biolog. data && 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
- there are 8 fields of study the course is directly associated with, display
- Course objectives
- Aim of this lecture is to show how to analyse data with correlated structure by means 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.
- Teaching methods (in Czech)
- Výuka je postavena na řešení konkrétních biologických příkladů.
- Assessment methods (in Czech)
- 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 once in two years.
Information on the per-term frequency of the course: jarní semestr lichých let.
The course is taught: every other week.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2016
The course is not taught in Spring 2016
- Extent and Intensity
- 0/2. 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 && Bi8190 Visualization of biolog. data && 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
- there are 8 fields of study the course is directly associated with, display
- Course objectives
- Aim of this lecture is to show how to analyse data with correlated structure by means 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.
- Teaching methods (in Czech)
- Výuka je postavena na řešení konkrétních biologických příkladů.
- Assessment methods (in Czech)
- 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 other week.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 2009
The course is not taught in Spring 2009
- 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, basics of multivariate analysis. - 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 use of selected advanced methods, univariate and multivariate, in the analysis of biological data that are not included in the courses Bi7920 and Bi7540.
- Syllabus
- 1) Survival analysis. 2) Experimental design: Nested, Split-plot. Pseudoreplication. 3) Time Series analysis. 4) Spatial statistics. 5) Generalised Least Squares, Linear and non-linear Mixed-Effect models. 6) Models with phylogenetical corrections. 7) Non-linear regression. 8) Generalised Additive Models. 9) Advanced use of indirect and direct ordination methods. 10) Classification and regression trees, random forests. 11) Modeling of species response curves (generalists vs. specialists, HOF models).
- 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 once in two years.
Information on the per-term frequency of the course: v jarním semestru sudých let.
The course is taught: every week.
Bi7921 Advanced methods of analysis of biological data
Faculty of Sciencespring 2012 - acreditation
The information about the term spring 2012 - acreditation is not made public
- Extent and Intensity
- 0/2. 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. (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 && Bi8190 Vizualization of biolog. data && 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
- 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 data with correlated structure by means 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.
- Teaching methods (in Czech)
- Výuka je postavena na řešení konkrétních biologických příkladů.
- Assessment methods (in Czech)
- 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 other week.
Bi7921 Advanced methods of analysis of biological data
Faculty of ScienceSpring 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.
- Enrolment Statistics (Spring 2025, recent)