Introduction to clinical biostatistics (elective course) 2023-2024
Leírás
Általános információk
The subject aims to give an introduction and insight into some aspects of clinical statistics. We will cover survival studies, advanced regression techniques, ROC analysis and basis of modern Bayesian methods including Bayesian neural networks and information theory.
It is assumed that the participants are familiar with the basis of statistics, and have a basic experience with the R (free, GPL licensed) statistical software. This is best accomplished by completeting the course "Medical statistics, informatics and telemedicine" which is scheduled in the 3rd year's fall semester for MD students as a mandatory course.
Előadások
Előadások
| 1 | Introduction
schay.gusztav@med.semmelweis-univ.hu (Gusztáv Schay) |
2024.02.13. | |
| 2 | Regression - Rstudio - 1
veres.daniel@med.semmelweis-univ.hu (Dániel Veres) |
2024.02.20. | |
| 3 | Regression - Rstudio - 2 (Dániel Veres) | 2024.02.27. | |
| 4 | Regression - Rstudio - 3 (Dániel Veres) | 2024.03.05. | |
| 5 | ROC analysis
schay.gusztav@med.semmelweis-univ.hu (Gusztáv Schay) |
2024.03.12. | |
| 6 | survival analysis 1 (Gergely Agócs) | 2024.03.19. | |
| 7 | survival analysis 2 (Gergely Agócs) | 2024.03.26. | |
| 8 | meta analysis (Gergely Agócs) | 2024.04.02. | |
| 9 | Fundations of Bayesian statistics (Gusztáv Schay) | 2024.04.09. | |
| 10 | Updating - the bayesian learning model (Gusztáv Schay) | 2024.04.16. | |
| 11 | Foundations of bayesian neural networks (Gusztáv Schay) | 2024.04.23. | |
| 12 | Training of neural netrowks (Gusztáv Schay) | 2024.04.30. | |
| 13 | exam possibility (Gusztáv Schay) | 2024.05.14. |
Vizsga
Vizsga
At the end of the semester a Moodle-test will be written and will serve as the basis of the grades. During the semester it is mandatory to read and analyze ONE medically relevant research paper, and talk about the statistical methods used therein. This is a pre-requisite for an accepted semester.