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401-8616-25L 3 Credits MSC D-MATH

Analysis of Longitudinal Data (University of Zurich)

No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student. UZH Module Code: STA431 Mind the enrolment deadlines at UZH:
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Last Updated: 2026-06-01 11:33:51

Abstract

In many applications, the assumption of independent observations is unrealistic and appropriate statistical techniques are necessary to analyse dependent data. According to the type of dependency, different approaches are commonly used.

Objective

Students learn how to explore longitudinal data and how to analyse them with simple approaches, for example, repeated measures ANOVA and ANCOVA.

Content

We focus on longitudinal data from clinical or epidemiolgical applications, where repeated measurements over time are available from a number of individuals (e.g. patients) or units. Students learn how to explore longitudinal data and how to analyse them with simple approaches, for example, repeated measures ANOVA and ANCOVA. Further the general linear model with correlated residuals is studied and random effects models and generalized estimating equations are used to analyse longitudinal data. Throughout the course the programming language R will be used.

General Information

Language
English
Levels
MSC

Examination

Type
graded semester performance
Registration modalities, date and venue of this performance assessment are specified solely by the UZH.

Course Components

Type Title Time & Place Hours
lecture with exercise Analysis of Longitudinal Data (University of Zurich)
**Course at University of Zurich**
No time listed 1.5 h weekly

Offered In

  • Statistik Master (Die hier aufgelisteten Lehrveranstaltungen gehören zum Curriculum des Master-Studiengangs Statistik. Die entsprechenden KP gelten nicht als Mobilitäts-KP, auch wenn gewisse Lerneinheiten nicht an der ETH Zürich belegt werden können.)