autumn 2019 HEL-8003 Mixed Models - 2 ECTS
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.
Error rendering component
- About the course
- Campus: Tromsø |
- ECTS: 2
- Course code: HEL-8003
- Responsible unit
- Institutt for samfunnsmedisin