Course: Medical Statistics

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Course title Medical Statistics
Course code KKO/P8ZDS
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study 1
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Mandysová Petra, doc. MSN, Ph.D.
  • Hrabalíková Ludmila, RNDr. Ph.D.
Course content
Quantitative research and its design, IT tools. Operationalization of variables, validity, and reliability in statistics. Descriptive epidemiological methods and studies. Exploratory analysis of one-dimensional data. Statistical testing of numerical data (parametric and non-parametric tests). Statistical testing of nominal data. Questionnaire surveys and evaluation of collected data. Summary of principles for statistical data processing in the context of nursing and healthcare in general. Introduction to working with STATISTICA software. Practicing exploratory analysis. Statistical testing of numerical data by parametric and non-parametric tests. Statistical testing of nominal data. Preparation for statistical data processing within the thesis, use of IT tools.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Methods of individual activities, Skills training
Learning outcomes
The aim of the course is to introduce students to an overview of methods of interactive statistical data processing in healthcare on a computer. The course includes individual problem solving tasks from healthcare practice using statistical software called STATISTICA.
Students know and can work with the most commonly used software in the Czech Republic in the field of computer analysis of medical and other scientific data. In addition to the methodology of data analysis, students also learn the principles and rules for data interpretation in clinical and practical use.
Prerequisites
unspecified

Assessment methods and criteria
Oral examination, Home assignment evaluation, Didactic test

Specified compulsory attendance at lectures and seminars Writing a semester paper. Passing exam test Passing oral exam
Recommended literature
  • HENDL, J.; REMR, J. Metody výzkumu a evaluace. 1. vyd. Praha: Portál, 2017. ISBN 978-80-262-1192-1.
  • HOLÁ, J. Úvod do statistické analýzy jednorozměrných dat. Pardubice: Univerzita Pardubice, 2012.
  • MELOUN, M.; MILITKÝ, J. Interaktivní statistická analýza dat. 3. vyd. Praha: Karolinum, 2012.
  • PECÁKOVÁ, I.; NOVÁK, I.; HERZAMNN, J. Pořizování a vyhodnocování dat ve výzkumech veřejného mínění. Praha: VŠE, 1998.
  • ZVÁROVÁ, J. Základy statistiky pro biomedicínské obory. 1. vyd. Praha: Karolinum, 2004.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester