Regression modeling of competing risk using R: an in depth guide for clinicians
Top Cited Papers
- 11 January 2010
- journal article
- Published by Springer Nature in Bone Marrow Transplantation
- Vol. 45 (9), 1388-1395
- https://doi.org/10.1038/bmt.2009.359
Abstract
We describe how to conduct a regression analysis for competing risks data. The use of an add-on package for the R statistical software is described, which allows for the estimation of the semiparametric proportional hazards model for the subdistribution of a competing risk analysis as proposed by Fine and Gray. J Am Stat Assoc 1999; 94: 496–509.Keywords
This publication has 15 references indexed in Scilit:
- Competing risk analysis using R: an easy guide for cliniciansBone Marrow Transplantation, 2007
- Cumulative Incidence in Competing Risks Data and Competing Risks Regression AnalysisClinical Cancer Research, 2007
- Regression Models for Hazard Rates Versus Cumulative Incidence Probabilities in Hematopoietic Cell Transplantation DataTransplantation and Cellular Therapy, 2006
- Regression Modeling of Competing Risks Data Based on Pseudovalues of the Cumulative Incidence FunctionBiometrics, 2005
- Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part 2: Regression modelingBone Marrow Transplantation, 2001
- A Proportional Hazards Model for the Subdistribution of a Competing RiskJournal of the American Statistical Association, 1999
- A Proportional Hazards Model for the Subdistribution of a Competing RiskJournal of the American Statistical Association, 1999
- Bayes FactorsJournal of the American Statistical Association, 1995
- Bayes FactorsJournal of the American Statistical Association, 1995
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974