Lecturer: Jan Beyersmann
Exercises taught by: Karin Schiefele

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General Information

Language	English
Lectures	2 h
Exercises	1 h

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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

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Exam:

Written Exam: 11.02.2014, 16h00-18h00, H3

Retake Exam: 31.03.2014, 11h00-13h00, H11

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General Informations:

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.

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Contents:

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.

 

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Exercise Sheets:

The exercise sheets are on the SLC.

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Literature:

Aalen, Borgan, Gjessing: Survival and Event History Analysis, Springer 2008

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