Entry requirements

120 credits including 90 credits in statistics, or 120 credits including 60 credits in statistics and 30 credits in mathematics and/or computer science.

Learning outcomes

Learning outcomes

After completing the course, the student is expected to

- have basic knowledge of the most common methods for the analysis of survival data,

- be able to apply these methods on data from the medical field and other subject areas,

- be able to assimilate the content of scientific articles based on survival data,

- have the ability to both orally and in written form account for results of analyses based on methods for survival data.

Content

Censuring and truncation. Hazard and survival function, cumulative incidence. Estimation of the survival function: Kaplan-Meier method, Nelson-Aalen method. Methods for comparison of two or more survival curves. Analysis of the relationship between explanatory variables and survival time (regression): Non-parametric methods especially the Cox PH model, parametric models. Methods for dealing with competing risks.

Instruction

Instruction is given in form of lectures, computer exercises and/or seminars.

Assessment

The examination takes place through a written examination at the end of the course and/or through oral and written presentations of compulsory take-home assignments.