Medical biometry and epidemiology (VO)

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Course numberB3.06651.30.440
Course codeBiomet.
Curriculum2019
Semester of degree program Semester 3
Mode of delivery Presencecourse
SPPW2,0
ECTS credits2,0
Language of instruction German

The students are familiar with the clinical-epidemiological key concepts and applications of statistics in the life andhealth sciences, medicine and in particular biomedical analysis and are able to assess an empirical study according to scientific criteria. In addition, they know the basic statistical concepts, can apply different types of data acquisition, processing and presentation contextual; they master the basic biometric procedures (descriptive and inductive statistics) and can perform corresponding statistical calculations problem-related and independently and interpret the results in a context-sensitive manner. They are able to assess epidemiological studies and perform independent calculations of selected epidemiological parameters.

Modules of the 1st and 2nd Semester

  • Introduction to clinical epidemiology and biometry
  • Descriptive statistics (scale of measure, frequency, characterization of data by parameters, graphical representations, bivariate analysis, interpretation of collected data and presentation of results)
  • Inductive statistics (basic principles and applications of statistical hypothesis testing), stochastics (probability theory)
  • Test procedures (specificity, sensitivity, predictive value)
  • Data acquisition, analysis and presentation
  • Selected epidemiological study types (e.g., observational studies, intervention studies, diagnostic studies)
  • Interpretation and biometric calculation of selected epidemiological parameters (e.g., prevalence, incidence)
  • Effect size (association between disease and exposure): e.g. relative risk, odds ratio, attributable risk
  • Random and systematic errors, internal and external validity, stratification procedures

Bortz J. & Döring N. (2006), Forschungsmethoden und Evaluation für Human- und Sozialwissenschaftler, Springer;
Bortz J. & Schuster C. (2010), Statistik für Human- und Sozialwissenschaftler, Springer;
Schnell R. et al. (2011), Methoden der empirischen Sozialforschung, R. Oldenbourg;
Flick U. (2009), Sozialforschung: Methoden und Anwendungen: Ein Überblick für die BA-Studiengänge, Rowohlt;
Krämer A. & Reintjes R. [Hrsg.] (2003), Infektionsepidemiologie, Berlin: Springer-Verlag;
Wassertheil-Smoller S. & Smoller J. (2015), Biostatistics and Epidemiology, New York: Springer-Verlag;
Timischl W. (2013), Angewandte Statistik. Eine Einführung für Biologen und Mediziner, Wien: Springer Verlag;
Kreienbrock L. et al. (2012), Epidemiologische Methoden, Heidelberg: Spektrum;
Books, journals and websites according to the current state of knowledge in the respective fields.

Lectures, exercises, reflections, discussions