Competing Risk Analysis Using R: An Easy Guide for Clinicians

Bone Marrow Transplant. 2007 Aug;40(4):381-7. doi: 10.1038/sj.bmt.1705727. Epub 2007 Jun 11.

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.

Publication types

  • Technical Report

MeSH terms

  • Acute Disease
  • Hematopoietic Stem Cell Transplantation
  • Humans
  • Internet*
  • Kaplan-Meier Estimate
  • Leukemia / therapy
  • Risk Factors*
  • Software*