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Archived Curricula Guide 2015–2017
Curricula Guide is archieved. Please refer to current Curricula Guides
MTTTS15 Statistical Modeling 2 5 ECTS
Organised by
Degree Programme in Mathematics and Statistics

Learning outcomes

The student will learn to understand how the clustered data arises from different kind of experimental settings and problem formulations. Basic analyses for the most common longitudinal, multilevel and latent class data with continuous- and categorical responses will be learned. The student will also learn to perform the analyses when data are missing as well as to use the appropriate statistical software for the analyses.

The extent of each topic varies according to the year of execution.


Normal mixed model and extensions, growth curve models, models for panel discrete (binary,count, categorical) observations, analysis of missing data, mixture or latent class regression, hierarchical and latent structure models.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English

To be announced in teaching schedule.


Numeric 1-5.

Belongs to following study modules

Archived Teaching Schedule. Please refer to current Teaching Shedule.
School of Information Sciences