Analysis of longitudinal data w. Stata
Study facts
| Course code | MEDSTAT3 |
| Study level | PhD level |
| Belongs to | Department of Global Public Health and Primary Care |
Course description
Language of instruction
English
Course content
Improve the ability of health researchers to analyses correlated data
Learning outcomes
Knowledge
After completion of the course the student should be able to:
- Perform analyses of longitudinal data where each unit of observation is observed several times
- Know alternatives with robust estimation of variances, random intercept and GEE
Skills
After completion of the course the student should be able to:
- Analyze data with simple correlation structures
- Restructure data from wide- to long-format
- Perform relevant regression analyses with Stata
General skills
After completion of the course the student should be able to:
- Understand when statistical analyses need to account for systematic correlation between observations
Study period
Spring.
The course will be held June 3rd and 5th (at 9-15 both days).
Credits (ECTS)
2
Specific terms
Pre-requirements
Basic knowledge on regression methods and familiarity with Stata is required, similar to HELSTA (MEDSTAT1A) + MEDSTAT2-B and MEDSTATA
Recommended previous knowledge
Own research experience
Form of assessment
Home examination
Pass/Fail
Who may participate
PhD
Addtional information
Supplementary course information
The students are required to have Stata available on their own PC, preferably a laptop that can be used during the course and for home work.
Programme
Day 1: Lectures 9-12, exercises 13-15
Day 3: Lectures/demonstrations 9-12, exercises 13-15
Contact
Department of Global Public Health and Primary Care, e-mail: studie@isf.uib.no
Course leader: Rolv T. Lie, e-mail: rolv.lie@isf.uib.no
Contact
Department of Global Public Health and Primary Care, e-mail:
studie@igs.uib.no
Course coordinator Rolv Terje Lie