Introduction to Survival Analysis
Lecturer: Jan Beyersmann
Exercises taught by: Karin Schiefele
Time and Venue
|Lectures||Tuesday 4:00 pm-6:00 pm, Helmholtzstr. 18, Room 120 |
|Exercise||Monday 12:00 am-01:00 pm O27/121|
Written Exam: 11.02.2014, 16h00-18h00, H3
Retake Exam: 31.03.2014, 11h00-13h00, H11
|Prerequisites:||The level of the course is that of a last year's bachelor course in Mathematical Biometry.|
|Exam:||In order to be admitted to the exam, students must have made a meaningful attempt to solve at least 80% of all Problems.|
Time-to-event data are ubiquitous in fields such as medicine, biology, demography, sociology, economics and reliability theory. In biomedical research, the analysis of time-to-death (hence the name survival analysis) or time to some composite endpoint such as progression-free survival is the most prominent advanced statistical technique. One distinguishing feature is that the data are typically incompletely observed - one has to wait for an event to happen. If the event has not happened by the end of the observation period, the observation is said to be right-censored. This is one reason why the analysis of time-to-event data is based on hazards. This course will emphasize the modern process point of view towards survival data without diving too far into the technicalities.
The exercise sheets are on the SLC.
Aalen, Borgan, Gjessing: Survival and Event History Analysis, Springer 2008
The script of the lecture is now available. Contact Karin Schiefele to provide you the script.