Data
Official data in SubjectManager for the following academic year: 2025-2026
Course director
-
Dergez Tímea
assistant professor,
Institute of Bioanalysis -
Number of hours/semester
lectures: 0 hours
practices: 12 hours
seminars: 12 hours
total of: 24 hours
Subject data
- Code of subject: OAE-VGO-T
- 2 kredit
- General Medicine
- Elective modul
- both
-
Exam course:Course headcount limitations
min. 5 – max. 12
Topic
The course is designed to provide a comprehensive and thorough grounding in the subject matter, with a focus on extending the knowledge and skills acquired in the compulsory Biometrics course. The programme is structured to offer participants the opportunity to engage in problem-solving exercises, engage in detailed theoretical discussions, and interact with their peers to address real-world problems.
Lectures
Practices
- 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.
- Makszin Lilla - 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
Seminars
- 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.
- Makszin Lilla - 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
Reading material
Obligatory literature
Literature developed by the Department
Moodle notices.
Notes
Moodle electronic notes
Joseph Belágyi: Medical Biometry
Sára Jeges: Biometry
L. Pótó: Biometrics. Workbook for the Practices, Pécs, 2020
Recommended literature
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
Conditions for acceptance of the semester
Active participation in lessons.
Mid-term exams
There is no test.
Making up for missed classes
It is possible to join another group in the current week.
Exam topics/questions
No exam.
Examiners
Instructor / tutor of practices and seminars
- Borbásné Farkas Kornélia
- Dergez Tímea
- Kőnigné Péter Anikó
- Makszin Lilla