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Education

Applied Biometrics

Data

Official data in SubjectManager for the following academic year: 2024-2025

Course director

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
Prerequisites:

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
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