Applied Biometrics

Data

Official data in SubjectManager for the following academic year: 2020-2021

Course director

Number of hours/semester

lectures: 6 hours

practices: 6 hours

seminars: 0 hours

total of: 12 hours

Subject data

  • Code of subject: OAE-ABI-T
  • 1 kredit
  • General Medicine
  • Elective modul
  • spring
Prerequisites:

OAA-MET-T completed

Course headcount limitations

min. 1 – max. 12

Topic

Basics of biometrical methods are indispensable to understand the scientific results, to plan own research, and to evaluate data. The main goal of the course is to expand and deepened the basic knowledge of biometrics via solving practical problems.
Object of the course is to demonstrate different type of research with most frequently applied biometrical methods, though representative examples or with using of the data of the participants.

Lectures

  • 1. Introduction to research methodology, refresh the bio-statistical knowledge - Dr. Pótó László
  • 2. Variance analysis - Borbásné Dr. Farkas Kornélia
  • 3. Regression analysis - Dr. Pótó László
  • 4. Correlation analysis - Borbásné Dr. Farkas Kornélia
  • 5. Survival analysis - Borbásné Dr. Farkas Kornélia
  • 6. Factor analysis - Borbásné Dr. Farkas Kornélia

Practices

  • 1. Refresh the bio-statistical knowledge using the SPSS, exercises
  • 2. Variance analysis, post-hoc tests
  • 3. Linear and non-linear regression analysis
  • 4. Parametric and non-parametric(rank-) correlation analysis
  • 5. Survival analysis, Cox-regression analysis...
  • 6. Factor analysis

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

Problem solving, oral report

Mid-term exams

Short presentation(s) on the classes by the students

Making up for missed classes

Consultation

Exam topics/questions

It will be given at the first practice

Examiners

Instructor / tutor of practices and seminars

  • Borbásné Dr. Farkas Kornélia
  • Dr. Pótó László