Fundamentals of Medical Statistics
Elective course and continuing education for postdoctoral and doctoral students
Course description
In the block course "Fundamentals of Medical Statistics" the course material of the compulsory course"QB1: Cross-sectional Block Epidemiology, Medical Biometry and Medical Informatics" will be repeated and deepened in order to provide habilitation students and doctoral students with basic biostatistical knowledge for planning, conducting and evaluating experimental, clinical or epidemiological studies for their empirical investigations.
Registration
Students/PhD students of the faculty of medicine please register exclusively via KLIPS - registration of students/PhD students without matriculation number is not possible. Only in this way can the course be counted as an elective block and/or as a key qualification course.
Employees of the University Hospital Cologne or Students of the Master's program 'Versorgungswissenschaft' register via the online form to register.
Note: Please also note the information on data protection.
We comply with our information obligations according to Art. 13 DSGVO here.
The course Fundamentals of Medical Statistics (GMS) is conducted exclusively in presence. Doctoral students can also take this elective course as a key qualification course in Module II of the Graduate School of Human and Dental Medicine (GSHZ) of the Medical Faculty of the University of Cologne.
There is no examination. A maximum of one day of absence is allowed for successful participation.
Literature
For preparation and guidance of this course we recommend the book by V. Harms "Medizinische Statistik", 9th edition, Harms Verlag, Lindhöft, 2019.
Course dates: see teaching
Schedule: see below
Note
If you have any questions about our course offerings, please direct them to the Institute's teaching coordinator via the contact form.
Lecture notes
| Course day | PDF files on the topic |
|---|---|
| Day 1 | - 01 - Introduction (Status: 2023-07-16) - 02 - Descriptive Statistics (as of: 2023-07-16) - 03 - Probability Theory, Distributions; Probability Theory-Example.xlsx |
| Day 2 | - 05 - Confidence Intervals (as of 2022-07-19); Significance Tests (DE, as of 2022-07-19); Significance tests (EN, as of 2023-07-19) |
| Day 3 | |
| Day 4 | - 08 - Correlation, regression - 09 - Survival time analyses (as of 2022-07-21) |
| Day 5 | - 10 - Trial Design (as of 2022-02-04). - 11 - Clinical Trials (as of 2023-03-10) |
The access data to the lecture notes will be announced in the lectures.
The documents will be updated on or after the respective course dates.