Applied Biometrics

Daten

Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2024-2025

Lehrbeauftragte/r

Semesterwochenstunden

Vorlesungen: 6

Praktika: 6

Seminare: 0

Insgesamt: 12

Fachangaben

  • Kode des Kurses: OAE-ABI-T
  • 1 kredit
  • General Medicine
  • Elective modul
  • both
Voraussetzungen:

OAA-MET-T finished

Zahl der Kursteilnehmer für den Kurs:

min. 5 – max. 12

Thematik

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.

Vorlesungen

  • 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

Praktika

  • 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

Seminare

Materialien zum Aneignen des Lehrstoffes

Obligatorische Literatur

Vom Institut veröffentlichter Lehrstoff

Skript

Empfohlene Literatur

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

Voraussetzung zum Absolvieren des Semesters

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.

Semesteranforderungen

Short presentation(s) on the classes by the students

Möglichkeiten zur Nachholung der Fehlzeiten

Consultation

Prüfungsfragen

Short presentation

Prüfer

Praktika, Seminarleiter/innen

  • Borbásné Farkas Kornélia
  • Dergez Tímea
  • Kőnigné Péter Anikó
  • Makszin Lilla