VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.

401-0629-00L 4 Credits MSC D-USYS , D-MAVT , D-PHYS , D-ITET , D-HEST

You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.

Applied Biostatistics

Lecturers & Examiners: Dr. Matteo Tanadini

VVZ CR n/a

Last Updated: 2026-02-05 15:35:57

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 - 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 included the following topics: exploratory data analysis, model fitting, model "selection", residual diagnostics, model validation and results interpretation. Analyses will be carried out by 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: oral 20 minutes

Course Components

Type	Title	Time & Place	Hours
lecture with exercise	Applied Biostatistics The lecturers will communicate the exact lesson times of ONLINE courses	Tue 13:00-16:00 (ON LI NE)	3 h weekly

Offered In

Biomedical Engineering Master
- Track Courses
  - Molecular Bioengineering
    - Recommended Elective Courses (These courses are particularly recommended for the Molecular Bioengineering track. Please consult your track advisor if you wish to select other subjects.)
Environmental Sciences Master
- Major in Human Health, Nutrition and Environment
  - Public Health (The module Public Health is compulsory for all students in the major Human Health, Nutrition and Environment.)
Food Science Master
- Major in Human Health, Nutrition and Environment
  - Module
    - Module Public Health (The module Public Health is compulsory for all students in the major Human Health, Nutrition and Environment.)
Health Sciences and Technology Master
- Major in Human Health, Nutrition and Environment
  - Electives
    - Elective Courses I
- Major in Medical Technology
  - Elective Courses