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401-0629-00L 4 Credits MSC D-USYS , D-HEST
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Applied Biostatistics

Lecturers & Examiners: Dr. Matteo Tanadini
VVZ CR n/a

Last Updated: 2026-02-05 16:14:36

Abstract

This course covers the main methods used in Biostatistics. It starts by revising Linear Models (Regression, Anova), then moves to Generalised Linear Models (logistic regression and methods for count data) and finally introduces more advanced topics (Linear Mixed-Effects Models and Generalised Additive Models). The course strongly focuses on applied aspects of data analysis.

Objective

After this course students: - revised Linear Models - revised or got introduced to Generalised Linear Models - got introduced to Linear Mixed-Effects Models - got introduced to Generalised Additive Models - are able to select among these methods to solve an applied problem in Biostatistics - can perform the data analysis using the statistical software R - can interpret the results of such an analysis and draw valid "biological" conclusions

Content

This course is structured into three parts. The first part focuses on Linear and Generalised Linear Models. The second part introduces more advanced methodologies such as Linear Mixed-Effects Models and Generalised Additive Models. Both, part one and two will include the following topics: exploratory data analysis, model fitting, model "selection", residual diagnostics, model validation and results interpretation. Analyses will be carried out using the statistical software R. Finally, in the third part of the course students will be analysing real-world datasets to put into practice the knowledge and skills acquired during the first two parts.

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
written 60 minutes
Aids
Keine
group work (details will be determined by the lecturer): a reasonable attempt to solve the task will result in a bonus of 0.25 grade points; and no bonus at all otherwise.

Course Components

Type Title Time & Place Hours
lecture with exercise Applied Biostatistics
  • Tue 13:15-16:00 (CAB G 51)
3 h weekly

Offered In