Boosting for high-dimensional time-to-event data with competing risks

2009136 citationsJournal Articlebronze Open Access

Authors

Arthur Allignol · University of Freiburg

Martin Schumacher · University Medical Center Freiburg

Jan Beyersmann · University Medical Center Freiburg

Abstract

The proposed boosting approach is implemented in the R package CoxBoost and prediction error estimation in the package peperr, both available from CRAN.

Topics & Keywords

Statistical Methods and Inference Gene expression and cancer classification Metabolomics and Mass Spectrometry Studies

UN Sustainable Development Goals

Peace, Justice and strong institutions

Publication Details

Published in: Bioinformatics

Volume 25, Issue 7, pp. 890-896

DOI: 10.1093/bioinformatics/btp088

Field-Weighted Citation Impact: 2.34