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Regression modeling of competing risk using R: an in depth guide for clinicians.

Author(s): L Scrucca, Richard Santucci, F Aversa

Publication date: 2010-08-31

Keywords: Bone Marrow Transplantation, statistics & numerical data, Humans, Medical Oncology, methods, Models, Statistical, Precursor Cell Lymphoblastic Leukemia-Lymphoma, epidemiology, therapy, Predictive Value of Tests, Regression Analysis, Risk Assessment, Risk Factors, Software

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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.

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PubMed ID:: 20062101

DOI:: 10.1038/bmt.2009.359

ScienceOpen disciplines: Chemistry

Keywords: Bone Marrow Transplantation,statistics & numerical data,Humans,Medical Oncology,methods,Models, Statistical,Precursor Cell Lymphoblastic Leukemia-Lymphoma,epidemiology,therapy,Predictive Value of Tests,Regression Analysis,Risk Assessment,Risk Factors,Software

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ScienceOpen disciplines: Chemistry

Regression modeling of competing risk using R: an in depth guide for clinicians.

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