autumn 2019 HEL-8003 Mixed Models - 2 ECTS

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 other applicants: June 1st. Application code 9303 in Søknadsweb.


Type of course

PhD course. This course is available as a singular course.

Admission requirements

Admission criteria: The same as for the Master's programme in Public Health. See the programme page. Application Code: 9371 (Nordic applicants).

Course content

During the course the following topics are discussed:

  • Basic principles of multilevel analysis
  • Background of multilevel analysis
  • Example of a multilevel analysis with a two level structure
  • Example of a multilevel analysis with a three level structure
  • Multilevel analysis with dichotomous outcome variables
  • The use of multilevel 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

Having attended the course and completed the exam the students will obtain the following learning outcomes:http://www.nokut.no/en/Facts-and-statistics/The-Norwegian-Educational-System/The-Norwegian-qualifications-framework/Levels/

(National Qualifications Framework 1st, 2nd & 3rd cycle)

 

Knowledge and understanding:

  • Understand the basic principles of multilevel analysis. 
  • Understand the difference between mixed models with continuous, binary and count outcomes.
  • Understand the difference between longitudinal analyses with continuous, binary and count outcomes.
  • Understand generalised estimating equations (GEE) models.
  • Interpret results from mixed models and GEE models.
  • Know how to handle missing data in mixed models and GEE. 

Skills:

  • Be able to use a statistical package to analyse data using mixed models and GEE models.
  • Perform sample size calculations for mixed model analysis and for longitudinal studies.
  • Separate between the different correlations structures in GEE models

General Competence:

  • Know how to interpret results from mixed models and GEE models.
  • Know about different softwares for mixed models and GEE models.


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.


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