Thesis and Student Research Job. Medical Research - 2. Data Collection and Evaluation - ELUTASÍTVA

Data

Official data in SubjectManager for the following academic year: 2020-2021

Course director

Number of hours/semester

lectures: 12 hours

practices: 0 hours

seminars: 0 hours

total of: 12 hours

Subject data

  • Code of subject: ELUT: OAF-DT2-T
  • 1 kredit
  • General Medicine
  • Optional modul
  • both semesters
Prerequisites:

OAA-MET-T completed

Course headcount limitations

min. 1 – max. 12

Topic

The course goal is to help to students to prepare their student research or thesis job. The first step is to select the topic. The best way to this is overview the relevant scientific literature of the given field of interest. It should be found typically a few dozen of fresh scientific paper and process them. The best statistical method is for this processing is the meta-analysis. There will be double results of that:
- It can be seen which examined questions were answered on a statistically proved way and which ones are still open. The later ones are good candidates for selecting as a topic for your research – not only as a thesis but as a potential PhD topic as well.
- On the other side it can be discovered some pitfalls which were causing the failed results of some jobs. To correct them is another potential job for a thesis work.
After the topic and concepts of the research work comes the data collection and evaluation job in this course.
- Which data should be collected and how can you do that?
- Which statistical methods are relevant for the data evaluations?
- Interpret the results and make your conclusions.
The first part of the research studies supported by the 1st part of the course. The following job after this course is supported by the 3rd part. Those other two courses are suggested to complete but this course alone can be also useful for your studies.

Lectures

  • 1. Basic features of medical research studies. - Dr. Pótó László
  • 2. Overview your research plan, evaluate and complete. - Dr. Pótó László
  • 3. The data collection plan - and plan the work. - Dr. Pótó László
  • 4. The data collection plan - and plan the work. - Dr. Pótó László
  • 5. Data collection - 1. - Dr. Pótó László
  • 6. Data collection - 1. - Dr. Pótó László
  • 7. Data collection -2. Methods for the evaluation. - Dr. Pótó László
  • 8. Data collection -2. Methods for the evaluation. - Dr. Pótó László
  • 9. Data evaluation - 1. - Dr. Pótó László
  • 10. Data evaluation - 1. - Dr. Pótó László
  • 11. Data evaluation - 2. Draw the conclusions. - Dr. Pótó László
  • 12. Data evaluation - 2. Draw the conclusions. - Dr. Pótó László

Practices

Seminars

Reading material

Obligatory literature

5-10 papers from the library, department, tutor ... collected by the student.

Literature developed by the Department

Other materials (sample papers and research plan, ...) supplied by the tutor.

Notes

Recommended literature

Any statistical book from the design of studies and data evaluation.

Conditions for acceptance of the semester

Maximum of 15 % absence allowed

Mid-term exams

Conduct your research job and present it week by week on the course.

Making up for missed classes

One extra class

Exam topics/questions

Activ participation and prepare and submit your own research work.

Examiners

Instructor / tutor of practices and seminars