Language of instruction
The course will give an introduction to event history analysis and focus on extended event history analyses, such as competing risk analysis and multi-state models.
- Hazard function and survival function
- The Kaplan-Meier estimator
- Time dependent covariates
- The principle of competing risk
- Fine&Gray regression
- Multi-state data
- Data structures in extended event history analyses
- Pseudo data in event history analyses
At the end of the course, the student should have the following learning outcomes:
The student recognises complex event history data and set up data structures and models for extended event history analyses.
- arranges data files and performs some analyses in the statistical packages "R" or "Stata".
- understands some pros and cons of different models.
- understands the general principles of extended event history analyses.
- has a basis for work on extended event history data.
Every 3rd Spring
2 ECTS Credits. Comprises of 4 full day's seminars, 6 hours each.
Knowledge in medical statistics equivalent to MEDSTA, HELSTA or MEDSTAT1A is required.
Recommended previous knowledge
Seminars and exercises under guidance. Requirement of 80% attendance at the seminars to be entitled to an assessment.
Form of assessment
Home exam. All support material allowed. Evaluated as "Passed/ Not passed".
Who may participate
Study counsellor can be contacted here:
Phone: 55 58 60 16
The studyprogram comitee, Faculty of Medicine.
Course responsible: Prof. Stein Atle Lie, Stein.Lie@uib.no .
- David Collett: "Modelling survival Data in Medical Research, 3rd ed."
Type of assessment: Take-home examination