Data
Official data in SubjectManager for the following academic year: 2020-2021
Course director
-
dr. Kornélia FARKAS-BORBÁS
assistant professor,
Institute of Bioanalysis -
Number of hours/semester
lectures: 6 hours
practices: 6 hours
seminars: 0 hours
total of: 12 hours
Subject data
- Code of subject: OAF-TSA-T
- 1 kredit
- General Medicine
- Optional modul
- both semesters
-
Course headcount limitations
min. 3 – max. 20
Topic
This course is for those students who are working on a student research plan or working on their thesis. They can process their own data and learn the theory of the applied statistical methods as well.
Lectures
- 1. Set the data and complete the database for statistical processing - Borbásné Dr. Farkas Kornélia
- 2. Select the right statistical methods - Dr. Pótó László
- 3. Learn the theory of the selected methods - Dr. Pótó László
- 4. Interpret the results - Borbásné Dr. Farkas Kornélia
- 5. Interpret the results - Borbásné Dr. Farkas Kornélia
- 6. Conclusions - Borbásné Dr. Farkas Kornélia
Practices
- 1. Set the data and complete the database for statistical processing
- 2. Select the right statistical methods
- 3. Learn the theory of the selected methods
- 4. Learn the theory of the selected methods
- 5. Interpret the results
- 6. Interpret the results
Seminars
Reading material
Obligatory literature
Literature developed by the Department
Own database
Notes
Recommended literature
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
Conditions for acceptance of the semester
Problem solving, oral report
Mid-term exams
Making up for missed classes
Consultation
Exam topics/questions
Examiners
Instructor / tutor of practices and seminars
- Borbásné Dr. Farkas Kornélia
- Dr. Pótó László