MAZRD Applied analysis of biomedical and geographical data

Faculty of Science
Spring 2023
Extent and Intensity
0/2. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Marie Budíková, Dr. (lecturer)
Guaranteed by
doc. PaedDr. RNDr. Stanislav Katina, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable of Seminar Groups
MAZRD/01: Thu 14:00–15:50 MP1,01014, M. Budíková
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is:
to provide students with an overview of modern statistical methods; to introduce students to problems encountered in real data processing;
to teach students to apply appropriate statistical methods to real data files;
to teach students to correctly interpret the results of statistical analyzes.
Learning outcomes
At the end of this course the student will be able:
to apply suitable statistical methods to sets of real data sets;
correctly interpret results of statistical analyses.
Syllabus
  • Types of statistical variables
  • Preparation of real data sets
  • Description of real data sets
  • Graphical representation of data
  • Verification of assumptions of model
  • Parametric and nonparametric tests
  • The analysis of contingency tables
  • Correlation analysis
  • Regression models
  • Generalized linear models
  • Introduction to survival analysis
Literature
    recommended literature
  • PEPE, Margaret Sullivan. The statistical evaluation of medical tests for classification and prediction. Oxford: Oxford University Press, 2004, xvi, 302. ISBN 0198509847. info
  • COLLETT, D. Modelling survival data in medical research. 1st ed. Boca Raton: Chapman & Hall, 1999, xvii, 347. ISBN 0412448904. info
Teaching methods
Lessons are held every week. It consists of lectures followed by statistical data processing using the software STATISTICA respectively R. This course is also lectured by practitioners.
Assessment methods
Teams of students will develop projects during the semester. At the end of the semester they will deliver their results in the form of a short presentation in a computer room. Presentations will be assessed as researchers from other scientific areas as teachers of the Institute of Mathematics and Statistics.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
The lessons are usually in Czech or in English as needed, and the relevant terminology is always given with English equivalents.

The target skills of the study include the ability to use the English language passively and actively in their own expertise and also in potential areas of application of mathematics.

Assessment in all cases may be in Czech and English, at the student's choice.

The course is also listed under the following terms Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2024.
  • Enrolment Statistics (Spring 2023, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2023/MAZRD