Competing Risks and Survival Analysis

Kees van Montfort (), Peter Fennema () and Wendimagegn Ghidey ()
Additional contact information
Kees van Montfort: Erasmus Medical Center, Department of Biostatistics
Peter Fennema: Advanced Medical Research
Wendimagegn Ghidey: Erasmus Medical Center, Department of Hematology

Chapter Chapter 5 in Developments in Statistical Evaluation of Clinical Trials, 2014, pp 85-96 from Springer

Abstract: Abstract The analysis of time-to-event data in the presence of competing risks is part of many studies today. However, the impact of the interrelationship between the competing risks on the interpretation of the results seems to be unclear to many researchers, however. We try to provide a guide to researchers interested in analysing competing risks data. Estimation of the cause-specific hazard function, the cumulative incidence function, the Gray test statistic, and the multi-stage models for analysing competing risks data are explained. Furthermore, we apply the theoretical methodology and illustrate the fundamental problems of interpreting the results of competing risk analyses by using empirical data in the field of outcome research in orthopaedics.

Keywords: Cumulative Incidence; Failure Time; Failure Type; Compete Risk Model; Cumulative Incidence Function (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-55345-5_5

Ordering information: This item can be ordered from
http://www.springer.com/9783642553455

DOI: 10.1007/978-3-642-55345-5_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().