Data
Official data in SubjectManager for the following academic year: 2024-2025
Course director
-
Borbásné Farkas Kornélia
associate professor,
Institute of Bioanalysis -
Number of hours/semester
lectures: 6 hours
practices: 6 hours
seminars: 0 hours
total of: 12 hours
Subject data
- Code of subject: OTF-ABI-T
- 1 kredit
- Biotechnology BSc
- Optional modul
- both
OTN-MBBS-T finished , OTN-MBFB-T finished
Course headcount limitations
min. 5 – max. 12
Topic
Knowledge of certain statistical and biometric methods is essential for understanding the results of scientific research, designing your own research and evaluating data. The aim of this course is to extend and to improve the basic knowledge acquired in biometrics through practical examples.
Subject: To demonstrate the application of biometric methods (e.g. survival analysis, analysis of variance, regression) commonly found in the literature, using representative examples and students' own data.
Lectures
- 1. Introduction to research methodology, refresh the bio-statistical knowledge - Dergez Tímea
- 2. Variance analysis - Borbásné Farkas Kornélia
- 3. Regression analysis - Dergez Tímea
- 4. Correlation analysis - Kőnigné Péter Anikó
- 5. Survival analysis - Dergez Tímea
- 6. Factor analysis - Makszin Lilla
Practices
- 1. Refresh the bio-statistical knowledge using the SPSS, exercises - Dergez Tímea
- 2. Variance analysis, post-hoc tests - Dergez Tímea
- 3. Linear and non-linear regression analysis - Kőnigné Péter Anikó
- 4. Parametric and non-parametric(rank-) correlation analysis - Borbásné Farkas Kornélia
- 5. Survival analysis, Cox-regression analysis... - Borbásné Farkas Kornélia
- 6. Factor analysis - Makszin Lilla
Seminars
Reading material
Obligatory literature
Literature developed by the Department
Notes
Recommended literature
Andrew F. Siegel: Statistics and Data Analysis. An introduction, John Wiley & Sons, 1988
Douglas G. Altman: Practical Statistics for Medical Research, Chapman & Hall, 1994
P. Armitage and G. Berry: Statistical Methods in Medical Research, Blackwell Science, 1994
Robert R. Sokal / F. James Rohlf: Biometry, W. H. Freeman and Company, New York, 1981
Conditions for acceptance of the semester
The assessment is in the form of a practical example. It is a necessary to understand the methods and examples presented in the lectures and to know the main criteria for their application.
Mid-term exams
Short presentation(s) on the classes by the students
Making up for missed classes
Consultation
Exam topics/questions
Short presentation
Examiners
Instructor / tutor of practices and seminars
- Borbásné Farkas Kornélia
- Dergez Tímea
- Kőnigné Péter Anikó
- Makszin Lilla