Course: Biometry 1

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Course title Biometry 1
Course code KMA/BIOM1
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
  • Fišerová Eva, doc. RNDr. Ph.D.
  • Vencálek Ondřej, Mgr. Ph.D.
Course content
1. Types of epidemiological studies 2. Measurting of disease frequency - prevalence, incidence rate 3. Measuring of association - relative risk, odds ratio 4. Analysis of twodimensional contingency tables - estametion and testing 5. Basics of discriminant analysis, ROC curve

Learning activities and teaching methods
Lecture, Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming)
  • Attendace - 39 hours per semester
  • Preparation for the Course Credit - 40 hours per semester
  • Semestral Work - 40 hours per semester
Learning outcomes
Clinical epidemiology of biostatistics.
Application Applications of statistical data analysis in biology and medicine.
Basic knowledge of probability theory and mathematical statistics.

Assessment methods and criteria
Student performance

Each student has to pass all written tests during the term and a final test.
Recommended literature
  • A Lukasová, J. Šarmanová. (1985). Metody shlukové analýzy. SNTL, Praha.
  • E. Jarošová. (1998). Navrhování experimentů. VŠE, Praha.
  • G. J. McLachlan. (1992). Discriminant analysis and statistical pattern recognition. Wiley, New York.
  • K. Überla. (1976). Faktorová analýza. Alfa, Bratislava.
  • R. G. Miller. (1981). Survival Analysis. Wiley, New York.
  • T. Le Chap. (2003). Introductory Biostatistics. Wiley, New Jersey.
  • Zvárová, J. (2004). Biomedicínská statistika. Karolinum, Praha.

Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Science Applied Statistics (2015) Mathematics courses 2 Summer