Competing Risks and Multistate Models
Lecturer: Arthur Allignol
Exercises taught by: Karin Schreiber
Time and Venue
|Lectures||Thursday, 12:00 (noon), He22/E18|
|Exercise||Thursday, 04:00 p.m., He22/E18|
The level of the course is roughly that of a first year's master course in Mathematical Biometry. Some basic knowledge of standard survival analysis (Kaplan-Meier estimator, Cox model) and of R is required.
This course covers models that generalize the analysis of time to a single event (survival analysis) to analyzing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Competing risks and multistate models are used in numerous fields such as biomedical research, reliability theory, demography, sociology and econometrics. Multistate methods are promoted with a focus on non- and semiparametric methods and applied (in R) to biomedical data sets from the lecturer's own practical experience.
The exercise sheets are on the slc
Beyersmann, Allignol, Schumacher: Competing Risks and Multistate Models with R, Springer 2012
Aalen, Borgan, Gjessing: Survival and event history analysis: a process point of view, Springer 2008
Die Uebungen beginnen um 16 Uhr s.t.