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CoxBoost specifications


Unique identifier OMICS_14238
Name CoxBoost
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0, GNU General Public License version 2.0
Computer skills Advanced
Version 1.4
Stability Stable
Survival, Matrix, Prodlim
Source code URL
Maintained Yes


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  • person_outline Veronika Weyer <>

Publications for CoxBoost

CoxBoost in publications

PMCID: 5558647
PMID: 28831290
DOI: 10.1155/2017/6083072

[…] likelihood-based boosting for generalized linear and additive regression models is provided by the r add-on package gamboost [], and an adapted version for boosting cox regression is provided with coxboost []. for a comparison of both statistical boosting approaches, that is, likelihood-based and gradient boosting in case of cox proportional hazard models, we refer to []., statistical boosting […]

PMCID: 4957316
PMID: 27444890
DOI: 10.1186/s12859-016-1149-8

[…] in the glmnet package [] which also can be combined with stability selection via stabs. note that also other implementations for boosting survival models are available in the r framework (gbm [], coxboost []) as well as methods depending on the brier score [], like the peperr [] and the pec [] packages., we carried out a simulation study to check the performance of stability selection […]

PMCID: 4912281
PMID: 26559287
DOI: 10.1097/MD.0000000000001992

[…] during follow-up and who did not., first, we constructed a clinical risk prediction model. covariates for this model were selected using a boosting technique for cox regression models (r package “coxboost”). the covariates considered were: age, sex, diabetes, hypertension, hypercholesterolemia, bmi, smoking, indication for angiography, angiographic cad severity, treatment following […]

PMCID: 4456390
PMID: 26042868
DOI: 10.1371/journal.pone.0129553

[…] the average of the corresponding chf of the leaf node of each tree. [], this was proposed in [–] to estimate parameter vector (β) in the cox proportional hazards model. in each boosting step, the coxboost adaptively selects a flexible subset of covariates to update the corresponding parameters. in the kth boosting step, the newton-raphson step will be separately used for gk predetermined […]

PMCID: 4426954
PMID: 25983547
DOI: 10.4137/CIN.S17284

[…] applied to reduce the set of predictive genes did not take into account the correlation between genes. in this paper, we studied the performances of three high-dimensional regression methods – coxboost, lasso (least absolute shrinkage and selection operator), and elastic net – to identify prognostic signatures in patients with early breast cancer., we analyzed three public retrospective […]

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CoxBoost institution(s)
Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center Mainz, Johannes Gutenberg-University Mainz, Mainz, Germany
CoxBoost funding source(s)
This work was supported by the German Research Foundation DFG BI 1433/2-1.

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