Survival Analysis
Survival analysis is a branch of statistics for analysing the expected amount of time until some event occurs, such as death in biological organisms and failure in mechanical systems.
The course treats life length data with censoring and truncation, using models for the hazard- and survival function. Estimation of the survival function with the Nelson-Aalen and Kaplan-Meier methods is introduced, as well as methods for comparing two or more survival functions. Some parametric distributions of life lengths are defined, together with the associated parameter estimates. Non-parametric methods, the semi-parametric proportional hazard and Cox regression model, and some parametric regression models are taught as well.
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Course structure
The course consists of two elements; theory and computer exercises.
Teaching format
Instruction is given in the form of lectures and exercise sessions and computer exercises.
Assessment
The course is assessed through written examination and written presentation of the hand-in assignments.
Examiner
A list of examiners can be found on
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course.
Aalen, Borgan & Gjessing: Survival Event History Analysis: A Process Point of View. Springer.
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Course reports
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More information
New student
During your studiesCourse web
We do not use Athena, you can find our course webpages on kurser.math.su.se.
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