Topics: - the meaning and significance of statistics for healthcare; population, random selection, inference, induction, - general scheme of a research project; methods of data collection, - data processing; analysis, interpretation and presentation of results, - basics of probability theory, basic characteristics of screening and diagnostic tests, ROC curve, - random variable and probability distribution, - selection and descriptive statistics, - estimation of population means, - basic principles of testing hypothesis, parametric tests (t-tests and ANOVA), non-parametric tests (Mann-Whitney U-test, Wilcoxon test, Kruskal-Wallis test), - analysis of categorical data, contingency table, chi-square test, Fisher's test, McNemar's test, correlation and regression analysis, factor analysis, - questionnaire validation - content, construct, and convergent validation.
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Hendl, J. (2015). Přehled statistických metod zpracování dat. Analýza a metaanalýza dat. Praha: Portál.. Praha: Portál.
-
Hendl, J.& Remr , J. (2017). Metody výzkumu a evaluace. Praha: Portál.
-
Langová, K. et al. (2017). Statistika v biomedicínském výzkumu III.
-
Langová, K. et al. (2017). Statistika v biomedicínském výzkumu II.
-
Polit, D., Beck, Ch. (2017). Study Guide for Essentials of Nursing Research. Philadelphia, PA: Wolters Kluwer.
-
Tappen, R. M. (2015). Advanced nursing research, 2nd Edition. Burlington: Jones & Bartlett Publishers.
-
Zvárová, J. (2016). Základy statistiky pro biomedicínské obory. Praha: Karolinum.
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