When do we need competing risks methods for survival analysis in nephrology?
University of Amsterdam · Academic Medical Center · +5 more institutions
Abstract
Survival analyses are commonly applied to study death or other events of interest. In such analyses, so-called competing risks may form an important problem. A competing risk is an event that either hinders the observation of the event of interest or modifies the chance that this event occurs. For example, when studying death on dialysis, receiving a kidney transplant is an event that competes with the event of interest. Conventional methods for survival analysis ignoring the competing event(s), such as the Kaplan-Meier method and standard Cox proportional hazards regression, may be inappropriate in the presence of competing risks, and alternative methods specifically designed for analysing competing risks…
Citation impact
- FWCI
- 25.16
- Percentile
- 100%
- References
- 25
Authors
6- MNMarlies NoordzijCorresponding
University of Amsterdam, Academic Medical Center
- KLKaren Leffondré
Bordeaux Population Health, Inserm
- KJKarlijn J. van Stralen
Academic Medical Center, University of Amsterdam
- CZCarmine Zoccali
Leiden University, Leiden University Medical Center
- FWFriedo W. Dekker
Istituto di Biomedicina e di Immunologia Molecolare Alberto Monroy
Topics & keywords
- Medicine
- Proportional hazards model
- Event (particle physics)
- Survival analysis
- Nephrology
- Dialysis
- Intensive care medicine
- Internal medicine
- Good health and well-being