Competing Risks and Multistate Models

Lecturer: Arthur Allignol
Exercises taught by:
Karin Schiefele


General Information

LanguageEnglish
Lectures2 h
Exercises1 h

Time and Venue

LecturesThursday 12:00am-02:00 pm, Helmholtzstr. 18, E60
ExerciseThursday 04:00pm-05:00 pm, Helmholtzstr. 18, E60

General Informations:

Prerequisites:

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.

Exam:

25.2.2014 10:00-12:00, H11
Retake Exam: 17.4.2014 10:00-12:00, H11


Contents:

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.


Literature:

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 Klausurergebnisse der Nachklausur koennen persoenlich bei Renate Jaeger erfragt werden.

Please contact Renate Jaeger to get your result of the retake exam. 


Die Klausureinsicht ist am 23.4.2014 um 14 Uhr, Raum 1.41.

You may have a look at your exam on 23.4.2014, 2:00 pm, room 1.41.

Competing Risks and Multistate Models

Lecturer: Arthur Allignol
Exercises taught by:
Karin Schiefele


General Information

LanguageEnglish
Lectures2 h
Exercises1 h

Time and Venue

LecturesThursday 12:00am-02:00 pm, Helmholtzstr. 18, E60
ExerciseThursday 04:00pm-05:00 pm, Helmholtzstr. 18, E60

General Informations:

Prerequisites:

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.

Exam:

25.2.2014 10:00-12:00, H11
Retake Exam: 17.4.2014 10:00-12:00, H11


Contents:

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.


Literature:

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 Klausurergebnisse der Nachklausur koennen persoenlich bei Renate Jaeger erfragt werden.

Please contact Renate Jaeger to get your result of the retake exam. 


Die Klausureinsicht ist am 23.4.2014 um 14 Uhr, Raum 1.41.

You may have a look at your exam on 23.4.2014, 2:00 pm, room 1.41.