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Lecturer(s)
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Mašín Vladimir, MUDr. Ph.D.
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Course content
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Lectures: 1. Introduction; distribution of statistics 2) Measures of data position and variability 3) Graphical ways of data presentation 4) Population and selection 5) Experimental and theoretical distributions 6) Gaussian distribution 7) Methods of data selection; sampling 8) Hypothesis testing; parametric and non-parametric statistics 9) Tests associated with one selection 10) Two sample tests 11) Testing three or more selections 12) Chi-square and Fisher's exact test 13) Variable dependency testing 14) Special types of regression Exercises: 1) Distribution of statistics 2) Measures of data position and variability 3) Graphical ways of data presentation 4) Population and selection 5) Experimental and theoretical distributions 6) Gaussian distribution 7) Methods of data selection; sampling 8) Hypothesis testing; parametric and non-parametric statistics 9) Tests associated with one selection 10) Two sample tests 11) Testing three or more selections 12) Chi-square and Fisher's exact test 13) Variable dependency testing 14) Special types of regression
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Learning activities and teaching methods
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Dialogue metods(conversation,discussion,brainstorming), Problematic methods (research and exploration)
- Preparation for exam
- 4 hours per semester
- Home preparation for classes
- 8 hours per semester
- Class attendance
- 48 hours per semester
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Learning outcomes
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The course is a part of the basic module of the study branch Biomedical Engineering. The aim of the course is to acquaint students with the theory and methods of statistics used in biological and medical fields. Students will learn how to choose appropriate solutions for a given type of data. Students will learn how to solve selected statistical problems.
Students obtain knowledge in given course in accordance with requirements and course programme.
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Prerequisites
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Preconditions are frased in the annotation of the course and in the curriculum of the studying programme.
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Assessment methods and criteria
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Combined examination, Oral exam
Credit: - activity in lectures and seminars, - 80% attendance at exercises, - statistical calculations in Excel.
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Recommended literature
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HENDL, Jan. Přehled statistických metod: analýza a metaanalýza dat. Praha: Portál, 2012. ISBN 978-80-262-0200-4.
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NEUBAUER, Jiří, Marek SEDLAČÍK a Oldřich KŘÍŽ. Základy statistiky: aplikace v technických a ekonomických oborech. Praha: Grada, 2016. ISBN 978-80-247-5786-5.
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PECINOVSKÝ, Josef a Rudolf PECINOVSKÝ. Office 2016: průvodce uživatele. Praha: Grada, 2016. ISBN 978-80-247-5691-2.
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PROCHÁZKA, Bohumír. Stručná biostatistika pro lékaře. Praha: Karolinum, 2015. ISBN 978-80-246-2783-0.
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SKALSKÁ, Hana a Pravoslav STRÁNSKÝ. Základy biostatistiky. Praha Karolinum, 2007. ISBN 80-7066-881-4.
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ZÁŠKODNÝ, Přemysl a Helena ZÁŠKODNÁ. Metodologie vědeckého výzkumu. Praha: Curriculum, 2016. ISBN 978-80-87894-08-8.
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ZÁŠKODNÝ, Přemysl a kol. Základy statistiky s aplikací na zdravotnictví. Praha: Curriculum, 2016. ISBN 978-80-87894-12-5.
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ZVÁROVÁ, Jana. Základy statistiky pro biomedicínské obory. Praha: Karolinum, 2011. ISBN 978-80-246-1931-6.
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