Dear participants of the course on "Applied Biostatistics with R":
Aims:
The goal of the course ”Applied Biostatistics with R” is a comprehensive, research-oriented and application-oriented introduction of biostatistical methods on medical data sets. In addition to expanding the knowledge of statistical methods, the most important learning objective is the competent application of these by using the statistical software R and RStudio. Half of the course will be spend on the introduction, language syntax and programming, data import, data processing, and data visualization in R. In the second part we deal with simple statistical tests, generalized linear models, mixed models, and time-to-event analyzes.
Course setting:
Achievement options:
SL (Studienleistung): After each chapter, we will provide additional tasks to prove your understanding and to verify your active participation with your solutions to be uploaded on Moodle.
PL (Prüfungsleistung): Assignment either graded or ungraded [We will provide a data set and questions/tasks to solve]
Groups with recognition of achievements:
Human medicine students as a compulsory elective in the second section of human medicine studies (Wahlpflichtfach, 3 SWS gem. §2(8) ÄApprO, PL: graded assignment)
Master's students of the program LENC and BEE at the Institute of Biology as a basic module "Personal Profiling" (You can choose: SL for 3 ECTS or PL for 4 ECTS)
Master's students of the program "Infection Biology and Immunology" at the Institute of Biology mendatory within the core module 4 (CM4) "Applied Data Science" (You can choose: SL or PL ungraded assignment)
Members of the Graduate Academy of the University of Greifswald and the graduate programs of the University Medicine Greifswald (PhD, MD/PhD, DMD/PhD) (You can choose: SL for 3 ECTS, PL for 4 ETCS)
Research employees are welcome
Prioritization is given to student's programs of Human Medicine and Biology.
Aims:
The goal of the course ”Applied Biostatistics with R” is a comprehensive, research-oriented and application-oriented introduction of biostatistical methods on medical data sets. In addition to expanding the knowledge of statistical methods, the most important learning objective is the competent application of these by using the statistical software R and RStudio. Half of the course will be spend on the introduction, language syntax and programming, data import, data processing, and data visualization in R. In the second part we deal with simple statistical tests, generalized linear models, mixed models, and time-to-event analyzes.
Course setting:
This semester, the course will be held as a block course in the week from 23th March to 27th March 2026 from 8.30 a.m to 4 p.m. with an hour of lunch break in between. The course will take place at the PC pool in Walther-Rathenau-Str. 11, Rooms A20.0.1 (PC Pool 1.01). PCs are available on site - if you wish to bring your own device, please use a laptop/notebook, tablets are not recommended. In general, courses materials and recorded videos of each course session from the summer semester 2021-2024 are provided for self-study on Moodle. Please also notice a survey prior to the start on Monday 23th March to evaluate your already existing statistical knowledge and on your expectations regarding the course goals. During the couse, after each chapter, we will provide additional tasks to prove your understanding and to verify your active participation (for those who need seminar achievements aka "Studienleistung" or "Teilnahmeschein") with your solutions to be uploaded on Moodle. The course language will be English.
Achievement options:
SL (Studienleistung): After each chapter, we will provide additional tasks to prove your understanding and to verify your active participation with your solutions to be uploaded on Moodle.
PL (Prüfungsleistung): Assignment either graded or ungraded [We will provide a data set and questions/tasks to solve]
Groups with recognition of achievements:
Human medicine students as a compulsory elective in the second section of human medicine studies (Wahlpflichtfach, 3 SWS gem. §2(8) ÄApprO, PL: graded assignment)
Master's students of the program LENC and BEE at the Institute of Biology as a basic module "Personal Profiling" (You can choose: SL for 3 ECTS or PL for 4 ECTS)
Master's students of the program "Infection Biology and Immunology" at the Institute of Biology mendatory within the core module 4 (CM4) "Applied Data Science" (You can choose: SL or PL ungraded assignment)
Members of the Graduate Academy of the University of Greifswald and the graduate programs of the University Medicine Greifswald (PhD, MD/PhD, DMD/PhD) (You can choose: SL for 3 ECTS, PL for 4 ETCS)
Research employees are welcome
Prioritization is given to student's programs of Human Medicine and Biology.
- Dozent/in: Stefan Groß
- Dozent/in: Marcus Vollmer