Competing risk analysis using R: an easy guide for clinicians

✍ Scribed by Scrucca, L; Santucci, A; Aversa, F

• Book ID: 110015352
• Publisher: Nature Publishing Group
• Year: 2007
• Tongue: English
• Weight: 482 KB
• Volume: 40
• Category: Article
• ISSN: 0007-1188
• DOI: 10.1038/sj.bmt.1705727

✦ Synopsis

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.