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Lecturer(s)
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Course content
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1. Introduction into biometrics and biostatistics. 2. Probability theory. 3. Biometric hypotheses. Hypothesis testing. 4. Planning experiments. Random population, random sample, randomization. 5. Sampling and comparing samples. 6. Analysis of variance. Covariance. 7. Correlation and regression analysis. 8. Statistic distribution and transformations. 9. Selected statistical tests (t, chi-squarred, F, +/-, Wilcox, Rosenbaum). 10. Discrimination analysis. 11. Cluster analysis. 12. Mathematical models and modeling in biology. 13. Bioinformatics.
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The aim of the course is to provide information on essential methods of the biometric analysis and evaluation of the observed experimental data. The main topics of the course: the probability theory, distributions, hypotheses, selected statistical tests, analysis of variance, correlation and regression analysis; planning experiments, sampling and comparing samples, random process, random sample, randomization. The practical exercising is included, too.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
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Recommended literature
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Benedík J. Biostatistika. Brno, 1989.
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Brabec, M. Moderní analýza biologických dat 1. Scientia, Praha 2009.
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Cvrčková Fatima. Úvod do praktické bioinformatiky, Academia, (2006).
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Gavalec M., Poláček M. Biomatematika. Príroda Bratislava, 1990.
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HENDL, J. Přehled statistických metod zpracování dat.. Praha: Portál, 2004. ISBN 80-7178-820-1.
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Kubánková H., Hendl J. Statistika pro zdravotníky.. Mzd Praha 1982, 1987.
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Michálek J. a kol. Biometrika. SPN Praha, 1982.
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Pekár, S., Brabec, M. Moderní analýza biologických dat 2. Masarykova Univerzita, Brno 2012.
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Stávková, J., Dufek, J. Biometrika (skriptum). MZLU, Brno 2000.
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