Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages CoxBoost and mboost

Comparison of classification methods that combine clinical data and high-dimensional mass spectrometry data

(2014) Caroline Truntzer et al.   BMC BIOINFORMATICS

The Evolution of Boosting Algorithms

(2014) H. Binder et al.   METHODS OF INFORMATION IN MEDICINE

Investigating the prediction ability of survival models based on both clinical and omics data: two case studies

(2014) Riccardo De Bin et al.   STATISTICS IN MEDICINE

Model-based boosting in R: a hands-on tutorial using the R package mboost

(2012) Benjamin Hofner et al.   COMPUTATIONAL STATISTICS

Variable selection and model choice in structured survival models

(2012) Benjamin Hofner et al.   COMPUTATIONAL STATISTICS

The Importance of Knowing When to Stop

(2012) A. Mayr et al.   METHODS OF INFORMATION IN MEDICINE

Added predictive value of high-throughput molecular data to clinical data and its validation

(2011) A.-L. Boulesteix et al.   BRIEFINGS IN BIOINFORMATICS

Testing the additional predictive value of high-dimensional molecular data

(2010) Anne-Laure Boulesteix et al.   BMC BIOINFORMATICS

Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models

(2008) Harald Binder et al.   BMC BIOINFORMATICS

Flexible boosting of accelerated failure time models

(2008) Matthias Schmid et al.   BMC BIOINFORMATICS