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 (Schay Gusztáv) |
2024.02.13. | |
| 2 | Regression - Rstudio - 1
veres.daniel@med.semmelweis-univ.hu (Veres Dániel Sándor) |
2024.02.20. | |
| 3 | Regression - Rstudio - 2 (Veres Dániel Sándor) | 2024.02.27. | |
| 4 | Regression - Rstudio - 3 (Veres Dániel Sándor) | 2024.03.05. | |
| 5 | ROC analysis
schay.gusztav@med.semmelweis-univ.hu (Schay Gusztáv) |
2024.03.12. | |
| 6 | survival analysis 1 (Agócs Gergely) | 2024.03.19. | |
| 7 | survival analysis 2 (Agócs Gergely) | 2024.03.26. | |
| 8 | meta analysis (Agócs Gergely) | 2024.04.02. | |
| 9 | Fundations of Bayesian statistics (Schay Gusztáv) | 2024.04.09. | |
| 10 | Updating - the bayesian learning model (Schay Gusztáv) | 2024.04.16. | |
| 11 | Foundations of bayesian neural networks (Schay Gusztáv) | 2024.04.23. | |
| 12 | Training of neural netrowks (Schay Gusztáv) | 2024.04.30. | |
| 13 | exam possibility (Schay Gusztáv) | 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.