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Seminar and Practice for Biometrics Exam

Daten

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

Lehrbeauftragte/r

Semesterwochenstunden

Vorlesungen: 0

Praktika: 12

Seminare: 12

Insgesamt: 24

Fachangaben

  • Kode des Kurses: OSE-VGO-T
  • 2 kredit
  • Dentistry
  • Elective modul
  • both
Voraussetzungen:

keine

Vizsgakurzus:

Zahl der Kursteilnehmer für den Kurs:

min. 5 – max. 12

Thematik

The course closely follows the compulsory Biometrics course, as it is designed to provide additional practice and consultation. During the lessons, participants have the opportunity to formulate their individual problems, discuss theoretical issues in detail and solve problems interactively.

Vorlesungen

Praktika

  • 1.

    Relative frequency and probability, thinking models (deterministic and stochastic models). Types of data and their representation.

    - Dergez Tímea
  • 2.

    Probability calculation-Binomial and Poisson distribution.

    - Dergez Tímea
  • 3.

    Exploring data by numbers - descriptive statistics.

    - Dergez Tímea
  • 4.

    Normal distribution. The distribution of the sample mean.

    - Dergez Tímea
  • 5.

    Estimation. The confidence interval of the expected value.

    - Dergez Tímea
  • 6.

    Hypothesis testing methods - the one sample (and the paired samples) t tests.

    - Dergez Tímea
  • 7.

    Two independent samples t test. The Type one and Type two errors.

    - Dergez Tímea
  • 8.

    Nonparametric tests.

    - Dergez Tímea
  • 9.

    Linear regression and correlation.

    - Dergez Tímea
  • 10.

    Contingency tables - the chi-squares test, Fisher's exact test.

    - Dergez Tímea
  • 11.

    Summary of topics.

    - Dergez Tímea
  • 12.

    Final practice. Grading, evaluation.

    - Dergez Tímea

Seminare

  • 1.

    Introduction (Biometrics and Medical Sciences). Probability and relative frequency. Variables and its representation.

    - Dergez Tímea
  • 2.

    Probability calculation and discrete distributions.

    - Dergez Tímea
  • 3.

    Descriptive statistics.

    - Dergez Tímea
  • 4.

    Continuous probability distributions-normal distribution.

    - Dergez Tímea
  • 5.

    Statistical estimation. Confidence interval for the expected value.

    - Dergez Tímea
  • 6.

    Principle of hypothesis testing metjods. One sample and paired samples t tests.

    - Dergez Tímea
  • 7.

    Comparison of the confidence interval and hypothesis testing methods. Type I and type II errors.

    - Dergez Tímea
  • 8.

    Independent samples t test. The power of the test.

    - Dergez Tímea
  • 9.

    Non-parametric tests: Sign-, Wilcoxon-, Mann-Whitney tests.

    - Dergez Tímea
  • 10.

    Linear regression and correlation.

    - Dergez Tímea
  • 11.

    The evaluation of frequency data: Chi-squared test and Fisher's exact test. Special applications.

    - Dergez Tímea
  • 12.

    The principle of the ANOVA.

    - Dergez Tímea

Materialien zum Aneignen des Lehrstoffes

Obligatorische Literatur

Vom Institut veröffentlichter Lehrstoff

Moodle notices.

Skript

Moodle electronic notes
Joseph Belágyi: Medical Biometry
Sára Jeges: Biometry
L. Pótó: Biometrics. Workbook for the Practices, Pécs, 2020

Empfohlene Literatur

D.S. Moore, G.P. McCabe: Introduction to the Practice of Statistics, 5th ed., W.H. Freeman 2005
D. Yates, D.S. Moore, D.S. Starnes: The Practice of Statistics (TI-83/89 Graphing Calculator Enhanced) 2/e, 2003, W.H. Freeman
W.G. Rees: Essential Statistics, Chapman and Hall, 1992

Voraussetzung zum Absolvieren des Semesters

Active participation in lessons.

Semesteranforderungen

There is no test.

Möglichkeiten zur Nachholung der Fehlzeiten

It is possible to join another group in the current week.

Prüfungsfragen

No exam.

Prüfer

Praktika, Seminarleiter/innen

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