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Lecturer(s)
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Picek Jan, prof. RNDr. CSc.
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Volf Petr, doc. CSc.
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Course content
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Research representative and unrepresentative samples. Methods of measurement and data acquisition. Pilot studies and its significance. Statistical tests, parametric tests, nonparametric tests, correlation. Interpretation of the results of the research. Reviews scientific reports.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing)
- Class attendance
- 28 hours per semester
- Preparation for credit
- 3 hours per semester
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Learning outcomes
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Application of the statistics and probability - the solving of simple problems of data processing.
Knowledge of information technology in health care and basic data analysis methods
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Prerequisites
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unspecified
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Assessment methods and criteria
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Written exam
Requirements on credit: Term paper and its defense, test.
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Recommended literature
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BUDÍKOVÁ, M., KRÁLOVÁ, M., MAROŠ, B. Průvodce základními statistickými metodami. Praha: Grada, 2010. ISBN 978-80-247-3243-5.
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HENDL, J. Přehled statistických metod: analýza a metaanalýza dat. Praha: Portál, 2012. ISBN 978-80-262-0200-4.
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LEPŠ, J. Biostatistika. České Budějovice: Episteme, 2016. ISBN 978-80-7394-587-9.
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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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WALKER, I. Výzkumné metody a statistika. Praha: Grada, 2013. ISBN 978-80-247-3920-5.
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ZVÁROVÁ, Jana. Základy statistiky pro biomedicínské obory. Biomedicínská statistika I.. Praha: Karolinum, 2016. ISBN 978-80-246-3416-6.
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