Teaching within the Medical / Non-Medical PhD Programme
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Introduction to Medical Statistics and Epidemiology
Description:
Within this seminar knowledge is imparted about the basics of medical statistics and epidemiology. An introduction to descriptive statistics is given as well as to the construction and interpretation of a confidence interval. The principle of statistical testing will be explained and basic topics on epidemiology will be discussed. The concept of correlation and linear regression is taught. Important statistical aspects that play a role within the planning of a confirmatory clinical study are introduced. The principle of meta-analysis will also be explained.
Sessions (do not build on one another):
- Descriptive statistics and confidence intervals
- Statistical testing
- Introduction to epidemiology
- Correlation and linear regression
- Planning of a confirmatory clinical study
- Introduction to meta-analysis
Language: German and English (alternating) - The next will be in English
Scope:
- 6 x 2 teaching units
Next Dates:
Date Time Topic Location 02.04.2024 16:00-17:30 h Descriptive statistics and confidence intervals N43 lecture hall 09.04.2024 16:00-17:30 h Statistical testing N30 lecture hall 16.04.2024 16:00-17:30 h Introduction to epidemiology N43 lecture hall 23.04.2024 16:00-17:30 h Correlation and linear regression N43 lecture hall 30.04.2024 16:00-17:30 h Planning of a confirmatory clinical study N43 lecture hall 07.05.2024 16:00-17:30 h Introduction to meta-analysis N43 lecture hall Registration: Via Moodle or by email to phd-info@uke.de
Contact:
Ann-Kathrin Ozga a.ozga@uke.de
Prodekanat für Forschung phd-info@uke.de -
Advanced Statistics
Description:
In this lecture series you will learn about event-time analysis and basic principles of machine learning. The introduction to diagnostic studies is also part of the lecture series. The handling of clustered data and missing values will be presented.
Prerequisite: Basic knowledge in medical statistics (see e.g. our lecture series Introduction to Medical Statistics and Epidemiology)
Sessions:
- My rate to die - Time to event analysis
- Machine learning
- Causal inference
- How to evaluate screening methods - Diagnostic studies
- Cluster in your data - Mixed models (hierarchical or multilevel models)
- Fill the gap - How to handle missing data
Language: English
Scope:
- 6 x 2 teaching units
Next Dates:
TBA
Location:
TBA
Registration: Via Moodle or by email to phd-info@uke.de
Contact:
Ann-Kathrin Ozga, a.ozga@uke.de or
Prodekanat für Forschung phd-info@uke.de