Analysis of grouped dataLaajuus (5 cr)

Objective

To understand the special properties of grouped datasets from modeling point of view. To be able to model such datasets using theoretically justified means.

Content

Linear mixed-effects models provide extension of linear models into such grouped datasets, where observations within the group are correlated. Examples about such datasets are pupils within school class, trees on a forest sample plot, and repeated measurements of persons. Essentially, the groups (school classes, sample plots, persons) are a sample from a population of groups. The course covers linear mixed-effects models with one level of hierarchy. At the end of the course, we will discuss about extensions to more complicated groupings, such as nested groupings and crossed groupings.

Qualifications

Data analysis or Regression analysis 1 and 2, R-course