Data
Official data in SubjectManager for the following academic year: 2024-2025
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 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.
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.
- 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
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.
- 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
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