Application deadline

Registration deadline for PhD students and students at the Medical Student Research Program at Uit - The Arctic University of Norway: September 1st

Application deadline for external applicants: June 1st

Application code 9303

Type of course

Admission requirements

PhD students, master students at a Medical Student Research Program, or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted. Valid documentation is a statement from your institution that you are a registered PhD student or master student at a Medical Student Research Program, or a Master´s Diploma with Diploma Supplement / English translation of the diploma. PhD students are exempt from semester fee.

For more information regarding PhD courses at the Faculty of Health Sciences go to: http://uit.no/helsefak/forskning/phd/emner

Course content

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.

Objectives of the course

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.

Language of instruction and examination

Teaching methods

Assessment

Home Exam. Evaluated with passed/failed.

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

Recommended reading/syllabus

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.