Course in event history analysis

Language of instruction

English

Course content

Overall aim:

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.

Contents:

• Hazard function and survival function
• The Kaplan-Meier estimator
• Cox-regression
• 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

Learning outcomes

At the end of the course, the student should have the following learning outcomes:

Knowledge

The student recognises complex event history data and set up data structures and models for extended event history analyses.

Skills

The student:

• arranges data files and performs some analyses in the statistical packages "R" or "Stata".
• understands some pros and cons of different models.

General competence

The student:

• understands the general principles of extended event history analyses.
• has a basis for work on extended event history data.

Study period

Every 2nd Spring

Credits (ECTS)

2 ECTS Credits. Comprises of 4 full day's seminars, 6 hours each.

Pre-requirements

Knowledge in medical statistics equivalent to MEDSTA, HELSTA or MEDSTAT1A is required.

Recommended previous knowledge

Basic knowledge of survival analyes in addition to knowledge of either "Stata" or "R". It is recommended to take the courses MEDSTATA and MEDSTA2 before ODFLA902.

Compulsory Requirements

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

Postdoc/ PhD

Contact

Study counsellor can be contacted here:

sigrid.nevdal@uib.no

Tlf: +47 55 58 64 75

Academic responsibility

The studyprogram comitee, Faculty of Medicine.

Course responsible: Prof. Stein Atle Lie, Stein.Lie@uib.no .

Reading list

• David Collett: "Modelling survival Data in Medical Research, 3rd ed."
• Articles