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 and examination

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
  • Tilleggsinformasjon
  • PhD students at UiT
  • External applicants
  • Course information