title: Regression modeling of competing risk using R: an in depth guide for clinicians.
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.
authors.affiliation: Statistics Section, Department of Economy Finance and Statistics, University of Perugia, Perugia, Italy.
authors.forename: L
authors.initials: L
authors.lastname: Scrucca
authors.forename: A
authors.initials: A
authors.lastname: Santucci
authors.forename: F
authors.initials: F
authors.lastname: Aversa
mesh_terms: D016026:Bone Marrow Transplantation / Q000706:statistics & numerical data*; D006801:Humans; D008495:Medical Oncology / Q000379:methods; D015233:Models, Statistical; D054198:Precursor Cell Lymphoblastic Leukemia-Lymphoma / Q000453:epidemiology* / Q000628:therapy*; D011237:Predictive Value of Tests; D012044:Regression Analysis; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D012984:Software