BSIS021c Informatics and statistics in Health care - practice

Faculty of Medicine
spring 2022
Extent and Intensity
0/1.5/0. 1 credit(s). Type of Completion: z (credit).
Taught in person.
Teacher(s)
RNDr. Tomáš Pavlík, Ph.D. (seminar tutor)
Mgr. Michal Uher (seminar tutor)
RNDr. Daniel Klimeš, Ph.D. (seminar tutor)
Guaranteed by
RNDr. Tomáš Pavlík, Ph.D.
Institute of Biostatistics and Analyses – Other Departments for Educational and Scientific Research Activities – Faculty of Medicine
Supplier department: Institute of Biostatistics and Analyses – Other Departments for Educational and Scientific Research Activities – Faculty of Medicine
Timetable
Fri 18. 2. 10:00–11:40 F01B1/709, Fri 25. 2. 10:00–11:40 F01B1/709, Fri 4. 3. 10:00–11:40 F01B1/709, Fri 11. 3. 10:00–11:40 F01B1/709, Fri 18. 3. 10:00–11:40 F01B1/709, Fri 25. 3. 10:00–11:40 F01B1/709, Fri 1. 4. 10:00–11:40 F01B1/709
Prerequisites
BSZB011p Fundamentals of biophysics
None - it is a basic course.
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 present basic approaches and methods of data processing as well as their applications on real data in biology and medicine. In addition, students will gain insight into the problems of clinical data management, databases and the structure of hospital information systems. Students will also learn the computational background of selected methods and their assumptions and gain an overview of their possible application.
Learning outcomes
At the end of the course, the student will be able to:
- understand basic statistical terminology,
- formulate statistical hypothesis according to the given type of data,
- apply statistical methods and tests according to the given type of data,
- understand basic rules of data management and searching for information,
- interpret properly his or her own results.
Syllabus
  • 1. Basic aspects of data management and analysis: representativeness, bias, correlation, causation, significance.
  • 2. Data, their description, and visualization; random sample, target and sample population.
  • 3. Basic data types: continuous, ordinal and nominal scale; descriptive statistics and their visualization.
  • 4. Statistical hypotheses, their evaluation, and interpretation.
  • 5. Basic statistical methods and tests for quantitative and qualitative data.
  • 6. Assumptions of statistical methods and tests and their evaluation.
  • 7. Relational databases, basic data types, and data management.
  • 8. Hospital information systems.
Literature
    recommended literature
  • PAVLÍK, Tomáš and Ladislav DUŠEK. Biostatistika (Biostatistics). 1st ed. Brno: Akademické nakladatelství CERM, s.r.o Brno, 2012, 131 pp. ISBN 978-80-7204-782-6. info
  • ZVÁRA, Karel. Biostatistika. 2. vyd. Praha: Karolinum, 2008, 21o stran. ISBN 9788024607399. info
Teaching methods
Lectures, exercises and class discussion.
Assessment methods
CREDIT REQUIREMENTS:
1. 100% attendance at seminars during the semester. Absence will only be apologized for health reasons. The student must provide appropriate documentation or a medical certificate (in original).
2. Active participation during exercises, students are encouraged to ask questions and comment on examples.
3. Final written test, 50% of correct answers is needed to pass.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
Information on the extent and intensity of the course: 15.
The course is also listed under the following terms spring 2023, spring 2024.
  • Enrolment Statistics (spring 2022, recent)
  • Permalink: https://is.muni.cz/course/med/spring2022/BSIS021c