Practical recommendations for reporting F ine‐ G ray model analyses for competing risk data
Sunnybrook Health Science Centre · University of Toronto · +3 more institutions
Abstract
In survival analysis, a competing risk is an event whose occurrence precludes the occurrence of the primary event of interest. Outcomes in medical research are frequently subject to competing risks. In survival analysis, there are 2 key questions that can be addressed using competing risk regression models: first, which covariates affect the rate at which events occur, and second, which covariates affect the probability of an event occurring over time. The cause‐specific hazard model estimates the effect of covariates on the rate at which events occur in subjects who are currently event‐free. Subdistribution hazard ratios obtained from the Fine‐Gray model describe the relative effect of covariates on the…
Citation impact
- FWCI
- 281.52
- Percentile
- 100%
- References
- 21
Authors
2Topics & keywords
- Covariate
- Proportional hazards model
- Statistics
- Regression analysis
- Econometrics
- Regression
- Event (particle physics)
- Hazard