Course title | Biostatistics |
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Course code | KMA/BIO |
Organizational form of instruction | Lecture + Exercise |
Level of course | Bachelor |
Year of study | 1 |
Semester | Summer |
Number of ECTS credits | 4 |
Language of instruction | Czech |
Status of course | Compulsory-optional, Optional |
Form of instruction | Face-to-face |
Work placements | This is not an internship |
Recommended optional programme components | None |
Lecturer(s) |
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Course content |
1. Types of epidemiological studies 2. Frequency measures - prevalence, incidence 3. Measures of association - relative risk, odds ratio 4. Analysis of two-dimensional contingency tables - estimates, tests 5. Confounding and adjustment 6. Interaction 7. Logistic regression model 8. Maximum likelihood method 9. Practical use of logistic regression, interpretation of parameters 10. Sensitivity, Specificity, ROC curve
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Learning activities and teaching methods |
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming) |
Learning outcomes |
The aim of the course is to acquaint students with the basic applications of statistics in biomedical research.
Students will have an overview of basic concepts related to biomedical research, will be able to use these concepts and interpret them. |
Prerequisites |
Knowledge of the basics of probability theory.
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Assessment methods and criteria |
Seminar Work
Test during the semester + final work. |
Recommended literature |
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Study plans that include the course |
Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
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Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Data Science (2020) | Category: Mathematics courses | 2 | Recommended year of study:2, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Applied Mathematics (2023) | Category: Mathematics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2020) | Category: Mathematics courses | 2 | Recommended year of study:2, Recommended semester: Summer |
Faculty: Faculty of Science | Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) | Category: Mathematics courses | 2 | Recommended year of study:2, Recommended semester: Summer |