HEL-8003 Mixed Models - 2 stp

During the course the following topics are discussed:

• Basic principles of mixed model analysis
• Background of mixed model analysis
• Example of a mixed model analysis with a two level structure
• Example of a mixed model analysis with a three level structure
• Mixed model analysis with dichotomous outcome variables
• The use of mixed model analysis in longitudinal studies
• Generalised estimating equations
• Alternative models for longitudinal data analysis
• Sample size calculations
• Missing data
• Software for mixed models.

To take PhD courses you need at a minimum a master¿s degree or equivalent, or admission to a Medical Student Research Program.

For information about how to apply for admission, go to:

http://uit.no/helsefak/forskning/phd/emner

The student will:

• have knowledge of the basic concept of mixed models.
• have knowledge of the two most important applications of mixed models, i.e. multilevel analysis and longitudinal data analysis.
• be able to interpret the results of mixed model analysis.

Home Exam. Evaluated with passed/failed.

The course will be arranged irregularly and no continuation exams will be given.

Recommended readings:

Applied Longitudinal Data Analysis for Epidemiology. 2nd Revised edition, Cambridge University Press, 2013. ISBN 97 811 076 9992 2.

Applied Multilevel Analysis. A Practical Guide. Cambridge University Press. 2006. ISBN 97 805 216 1498 6.