Description:
Basic concepts of the analysis of longitudinal data
are covered. Marginal
models as well as mixed effects (also known as random effects) models
for both Gaussian and discrete response variables are discussed.
In the lab, the students are encouraged to apply the lecture contents to
real data in order to deepen the understanding of the discussed
concepts and to become more familiar with the learned methods and
techniques.
Organization and Dates:
Flipped Classroom with Q&As via zoom every
Tuesday 8.30 - 10.00; Thursday 14.15 - 15.45
Enrolment Key: Longi2021!
Target Audience:
Statistics Master students, recommended prerequisites:
- Lecture "Lineare Modelle"
- Lecture "Generalisierte Regression"
- Basic knowledge in R
Examination:
15 Minutes oral exams
- Teacher: Giacomo De Nicola
- Teacher: Fabian Scheipl