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Lecturer(s)
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Kolářová Hana, prof. RNDr. CSc.
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Langová Kateřina, Mgr. Ph.D.
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Bajgar Robert, MUDr. Mgr. Ph.D.
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Course content
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1. The meaning and importance of health statistics. 2. Population, random selection, deduction, induction. 3. Methods of data collection. 4. Fundamentals of probability theory. 5. Basic characteristics of screening and diagnostic tests, ROC curve. 6. Random variable and probability distribution. 7. Selection and descriptive statistics. 8. Estimates of population averages. 9. Basic principles of hypothesis testing. 10. Parametric and nonparametric tests. 11. Correlation and regression analysis.
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Learning activities and teaching methods
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Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Training in job and motor Skils
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Learning outcomes
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The main goal of the course is to introduce students to methods of collecting, storing and processing, analyzing and interpreting patient data using statistical methods.
Students will get acquainted with the basic methods of statistical analysis and processing of biomedical data.
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Prerequisites
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Basic knowledge of mathematics on secondary school level.
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Assessment methods and criteria
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Written exam, Didactic Test
100% attendance at seminars and practical exercises, passing a written test.
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Recommended literature
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Bland, M. (2015). An Introduction to Medical Statistics. Oxford University Press.
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Hendl, J. (2012). Přehled statistických metod: analýza a metaanalýza dat. Praha: Portál.
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Zvárová, J. (2011). Základy statistiky pro biomedicínské obory. Praha: Karolinum.
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Zvárová, J. (2016). Základy statistiky pro biomedicínské obory. Praha: Karolinum.
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