Abstract
The term competing risks refers to cause of death models. Competing risks have been introduced and illustrated as a multi-state model in Figure 1.7 and discussed previously, in Sections 1.10, 3.3.9, and Chapter 5; but such data present special challenges, and therefore are considered separately in this chapter. It differs from the rest of this book in that only one event is possible for each individual, and in that sense, the concept of dependence seems irrelevant. However, two problems stand out as particularly important for competing risks data, the possibility of classification error and, more important, the desire to study the effect of modifying the hazards for some causes of death. Therefore, dependence is the key problem for such data. We would like to discuss aspects where dependence is important, but it is impossible to estimate the degree of dependence. In fact, it is impossible even to give a specific interpretation of dependence. The problem is caused by competing risks not being a truly multivariate survival problem. This has been discussed for centuries, since Bernoulli considered what the eradication of smallpox would imply for the mean lifetime.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media New York
About this chapter
Cite this chapter
Hougaard, P. (2000). Competing risks models. In: Analysis of Multivariate Survival Data. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1304-8_12
Download citation
DOI: https://doi.org/10.1007/978-1-4612-1304-8_12
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7087-4
Online ISBN: 978-1-4612-1304-8
eBook Packages: Springer Book Archive