Czech

2

Not applicable.

Results of the subject study will be:

a) theoretical knowledge of basic statistical apparatus for evaluation of results in the chemical, biological and biochemical field,

b) the ability to apply statistical principles to solve practical problems,

c) skills to process data using advanced software Statistica,

d) gain of overview to apply bio-statistics outputs in other subjects of the discipline, science, research and work life,

e) competence to process the final student's work statistically correctly.

Good knowledge of mathematics. Basic skills of work in excel. Ability to analyze and process chemical and biological results.

Not applicable.

Lecture - (2 lessons per 2 weeks): frontal teaching using demonstration methods (PowerPoint).
Seminars:(2 lessons per 2 weeks): workshop, individual work, discussion methods.
Electronic Support: The Biostatistics course developed in the Moodle e-learning system, video database of lectures.

Conditions to obtain classified credit:
Solve all the given test during the semester.
At the end of the semester, full-time credit test for 50 points, minimum for success: 25 points.
Presentation of essential results from the statistical evaluation of a given research problem.

Biostatistics is taught by the combination of theoretical and practical lectures

1. Introduction to biostatistics, basic statistical terms and methods
2. Estimation of the mean value, interval estimation of the mean value, assessment of correctness and conformity of results
3. Data distribution analysis, testing for outliers
4. Parametric and nonparametric hypothesis testing - T-Test, U-Test, ANOVA, MANOVA, Kruskal-Wallis ANOVA
5. Correlation and regression analysis of data, application of linear regression in biotechnological and chemical practice, polynomial regression, determination of the polynomial degree
6. Multivariate data analysis 1 - Cluster analysis, Principal component analysis
7. Multivariate data analysis 2 - Canonical and linear discrimination analysis

All topics are further practically taught in exercises on PC, using software Statistica and Excel.

Not applicable.

Students will get acquainted with basic and advanced statistical methods and their application in the evaluation of biological and chemical-analytical data in the course Biostatistics. The main mission of the course is to pass on knowledge about the method of elaboration of scientific studies with emphasis on the objective presentation of results and conclusions.

During the semester, students will process applied tasks (full-time form in the seminars, combined form as correspondence tasks). The final exam will consist of a credit test. Furthermore, before the credit week, the student will be given a specific problem, which will have to be solved by using statistical procedures. Substantial results will be publicly presented to other students during the credit.

Not applicable.

Not applicable.

Meloun M., Militký J.: Statistická analýza experimentálních dat. Academia, Praha 2004. (CS)
Lepš J., Šmilauer P.: Biostatistika. Nakladatelství Jihočeské univerzity, České Budějovice, Česká republika, 2016. (EN)

Meloun M.: Statistická analýza vícerozměrných dat v příkladech, Karolinium, Praha, Česká republika, 2017. (EN)
Meloun M.: Počítačová analýza vícerozměrných dat, Academia, Praha, Česká republika, 2005. (EN)

13 hours, compulsory