Hauptseite
Ausbildung

Applied Biometrics

Daten

Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2023-2024

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 semesters
Voraussetzungen:

OAA-MET-T completed

Zahl der Kursteilnehmer für den Kurs:

min. 5 – max. 12

Erreichbar als Campus-Kurs für 5 fő számára. Campus-karok: ÁOK ETK GYTK TTK

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 - Dr. Dergez Tímea
  • 2. Variance analysis - Borbásné Dr. Farkas Kornélia
  • 3. Regression analysis - Dr. Dergez Tímea
  • 4. Correlation analysis - Kőnigné Dr. Péter Anikó
  • 5. Survival analysis - Dr. Dergez Tímea
  • 6. Factor analysis - Dr. Makszin Lilla

Praktika

  • 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

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 Dr. Farkas Kornélia
  • Dr. Dergez Tímea
  • Dr. Makszin Lilla
  • Kőnigné Dr. Péter Anikó
Rólunk