title: Competing risk analysis using R: an easy guide for clinicians.
abstract: In the last decade with widespread use of quantitative analyses in medical research, close co-operation between statisticians and physicians has become essential from the experimental design through all phases of complex statistical analysis. On the other hand, easy-to-use statistical packages allow clinicians to perform basic statistical analyses themselves. Since the software they most commonly use does not perform in depth competing risk analysis, we recommend an add-on package for the R statistical software. We provide all the instructions for downloading it from internet and illustrate how to use it for analysis of a sample dataset of patients who underwent haematopoietic stem cell transplantation for acute leukaemia.
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: D000208:Acute Disease; D018380:Hematopoietic Stem Cell Transplantation; D006801:Humans; D020407:Internet; D053208:Kaplan-Meier Estimate; D007938:Leukemia / Q000628:therapy; D012307:Risk Factors; D012984:Software