Lectures: Introduction to Biostatistics - importance of biostatistics, types of biological data, basic statistical concepts. Descriptive Statistical Methods - basic characteristics of a dataset and their interpretation, graphical representation of data. Theoretical Data Models I - random variable and its distribution, distribution function, density, quantile function, characteristics of a random variable. Theoretical Data Models II - the normal distribution and derived distributions. Foundations of the Mathematical Approach to Statistics I - random sampling, principles of estimation, construction of confidence intervals. Foundations of the Mathematical Approach to Statistics II - basic principles of hypothesis testing: type I and type II errors, test power, t-tests. Goodness-of-Fit Tests. Normality Testing - chi-squared goodness-of-fit test, Shapiro-Wilk test. Analysis of Variance (ANOVA): one-way classification, two-way classification with and without interactions. Nonparametric Approach to Statistical Inference - rank tests. Measuring the Strength of Dependence between Two Quantitative Variables - Pearson and Spearman correlation coefficients, Z-transformation, tests for correlation coefficients. Dependence between Two Quantitative Variables I - linear regression, method of least squares, tests and estimates in regression. Dependence between Two Quantitative Variables II - multiple regression, general regression models, alternative estimators to the least squares method. Analysis of Categorical Data - contingency tables, tests of independence, tests of homogeneity. Classification Methods - cluster analysis, classification trees. Practical Classes: The exercises will practice the material covered in lectures using the Statistica software applied to real biological data.
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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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LEPŠ, J. Biostatistika. České Budějovice: Episteme, 2016. ISBN 978-80-7394-587-9.
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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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