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Statistical Analysis of Thesis and Student Research Projects

Data

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

Course director

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
Prerequisites:

-

Course headcount limitations

min. 5 – max. 20

Topic

The aim of the course is the statistical processing of data obtained by students during the preparation of their Student Research Project or Thesis. During the course, students will have the opportunity to evaluate their own databases and to understand the theoretical background of the statistical methods used.

Within this course, we can offer advice and assistance in the statistical analysis of Student Research Project and Thesis.

Lectures

  • 1. Set the data and complete the database for statistical processing - Borbásné Farkas Kornélia
  • 2. Select the right statistical methods - Dergez Tímea
  • 3. Learn the theory of the selected methods - Kőnigné Péter Anikó
  • 4. Interpret the results - Borbásné Farkas Kornélia
  • 5. Interpret the results - Borbásné Farkas Kornélia
  • 6. Conclusions - Borbásné Farkas Kornélia

Practices

  • 1. Set the data and complete the database for statistical processing - Dergez Tímea
  • 2. Select the right statistical methods - Kőnigné Péter Anikó
  • 3. Learn the theory of the selected methods - Makszin Lilla
  • 4. Learn the theory of the selected methods - Dergez Tímea
  • 5. Interpret the results - Kőnigné Péter Anikó
  • 6. Interpret the results - Makszin Lilla

Seminars

Reading material

Obligatory literature

Literature developed by the Department

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

Requirement: present and apply the methods. The course will be finished by processing your own data.

Mid-term exams

individual report

Making up for missed classes

Consultation

Exam topics/questions

individual report

Examiners

Instructor / tutor of practices and seminars

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