autumn 2016
HEL-8003 Mixed Models - 2 ECTS

Last changed 06.04.2017

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

PhD course. This course is available as a singular 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

English

Teaching methods

The morning session consists of lectures, and computer practicals are given in the after-lunch sessions. The statistical programs STATA, MLwiN, R, or SPSS can be used.

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.

  • About the course
  • Campus: Tromsø |
  • ECTS: 2
  • Course code: HEL-8003
  • Undersider