Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
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 2023.

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
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.
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.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
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 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
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 2021, Spring 2023, Spring 2025.

Bi7921 Advanced statistical methods for analysis of biological data

Faculty of Science
Spring 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.
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 2019, Spring 2021, Spring 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
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 2017, Spring 2019, Spring 2021, Spring 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
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 2015, Spring 2017, Spring 2019, Spring 2021, Spring 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
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 2014, Spring 2015, Spring 2017, Spring 2019, Spring 2021, Spring 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2010, Spring 2011, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2019, Spring 2021, Spring 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2010, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2019, Spring 2021, Spring 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2019, Spring 2021, Spring 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
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 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
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 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
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 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
spring 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.
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 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
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 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
Spring 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.
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 2023, Spring 2025.

Bi7921 Advanced methods of analysis of biological data

Faculty of Science
spring 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.
The course is also listed under the following terms Spring 2011 - only for the accreditation, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2019, Spring 2021, Spring 2023, Spring 2025.

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.