Hierarchical and Mixed Effects Models in R

Description

In this course, you will :

• Discover what a random effect is and how to use it to model your data. The course then moves on to linear mixed-effect regressions.
• These powerful models will enable you to investigate data with a more complex structure than a standard linear regression.
• Following that, the course teaches generalised linear mixed-effect regressions.
• Generalized linear mixed-effects models can model more types of data, such as binary responses and count data.
• As a subset of mixed-effect modelling, the course covers repeated-measures analysis.

Syllabus :

• Overview and introduction to hierarchical and mixed models
• Linear mixed-effect models
• Generalized linear mixed-effect models
• Repeated Measures