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.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
The predictive value of the modified AFP model for liver transplantation outcomes in multinodular hepatocellular carcinoma patients
World Journal of Surgical Oncology Open Access 27 March 2023
-
TAVI in patients with low-flow low-gradient aortic stenosis–short-term and long-term outcomes
Clinical Research in Cardiology Open Access 23 March 2022
-
Dose-escalated radiotherapy with PET/CT based treatment planning in combination with induction and concurrent chemotherapy in locally advanced (uT3/T4) squamous cell cancer of the esophagus: mature results of a phase I/II trial
Radiation Oncology Open Access 23 March 2021
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Pintilie M . Competing Risks: A Practical Perspective. John Wiley & Sons: New York, 2006. pp 24.
Klein JP, Rizzo JD, Zhang MJ, Keiding N . Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part I: unadjusted analysis. Bone Marrow Transplant 2001; 28: 909–915.
Kim HT . Cumulative incidence in competing risks data and competing risks regression analysis. Clin Cancer Res 2007; 13: 559–565.
Scrucca L, Santucci A, Aversa F . Competing risk analysis using R: an easy guide for clinicians. Bone Marrow Transplant 2007; 40: 381–387.
R Development Core Team. R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing 2009, Vienna, Austria. ISBN 3–900051–07–0, URL http://www.R-project.org.
Fine JP, Gray RJ . A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 1999; 94: 496–509.
Lunn M, McNeil D . Applying Cox regression to competing risks. Biometrics 1995; 51: 524–532.
Klein JP, Andersen PK . Regression modeling of competing risks data based on pseudo values of the cumulative incidence function. Biometrics 2005; 61: 223–229.
Klein JP, Zhang MJ . Survival analysis. Handbook of Statistics 2007; 27: 281–320.
Moeschberger ML, Tordoff KP, Kochar N . A Review of Statistical Analyses for Competing Risks. Handbook of Statistics 2007; 27: 321–341.
Logan BR, Zhang MJ, Klein JP . Regression models for hazard rates versus cumulative incidence probabilities in hematopoietic cell transplantation data. Biol Blood Marrow Transplant 2006; 12: 107–112.
Akaike H . A new look at the statistical model identification. IEEE Trans Automat Contr 1974; 19: 716–723.
Schwartz G . Estimating the dimension of a model. Ann Stat 1978; 6: 31–38.
Burnham KP, Anderson DR . Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. Springer-Verlag: New York, 2002. pp 488.
Kass RE, Raftery AE . Bayes factors. J Am Stat Assoc 1995; 90: 773–795.
Klein JP, Rizzo JD, Zhang MJ, Keiding N . Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part 2: Regression modeling. Bone Marrow Transplant 2001; 28: 1001–1011.
Acknowledgements
We thank Professor R Gray for his useful input on the cmprsk package, which lead to the improvement of displayed output of competing risk regression models in R.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no conflict of interest.
Appendix A
Appendix A
Rights and permissions
About this article
Cite this article
Scrucca, L., Santucci, A. & Aversa, F. Regression modeling of competing risk using R: an in depth guide for clinicians. Bone Marrow Transplant 45, 1388–1395 (2010). https://doi.org/10.1038/bmt.2009.359
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/bmt.2009.359
Keywords
This article is cited by
-
The predictive value of the modified AFP model for liver transplantation outcomes in multinodular hepatocellular carcinoma patients
World Journal of Surgical Oncology (2023)
-
Effect of HLA mismatch on post-transplant infections in allogeneic hematopoietic stem cell transplantation with PTCy-based GvHD prophylaxis
Bone Marrow Transplantation (2023)
-
Effect of an Albumin Infusion Treatment Protocol on Delayed Cerebral Ischemia and Relevant Outcomes in Patients with Subarachnoid Hemorrhage
Neurocritical Care (2023)
-
Predictors of clonal evolution and myeloid neoplasia following immunosuppressive therapy in severe aplastic anemia
Leukemia (2022)
-
A retrospective single-center analysis of G-CSF-mobilized donor lymphocyte infusion in hematologic malignancies after unmanipulated allogenic PBSCT
International Journal of Hematology (2022)