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 summer semester, the course will be held as a mixture of
asynchronous learning (videos for self-learning will be provided via
Moodle) and personal attendance for exercises which will be held as
weekly courses on Wednesdays 8.15 a.m. at the PC pool in Fleischmannstr.
6, Rooms A4.2.23 (SR201). PCs are available on site - if you wish to
bring your own computer/notebook please bring a suitable adapter for LAN
cables as WiFi connectivity is limited. In general, courses materials
and recorded videos of each course session from the summer semester
2021/2023 are provided for self-study on Moodle. Please also notice a
survey prior to the start on Wednesday 24th April to evaluate your
already existing statistical knowledge and on your expectations
regarding the course goals. 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