An overview of techniques for linking high-dimensional molecular data to time-to-event endpoints by risk prediction models

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Assessment of evaluation criteria for survival prediction from genomic data

(2011) Hege M. Bøvelstad et al.   BIOMETRICAL JOURNAL

High-Dimensional Cox Models: The Choice of Penalty as Part of the Model Building Process

(2010) Axel Benner et al.   BIOMETRICAL JOURNAL

Semiparametric prognosis models in genomic studies

(2010) S. Ma et al.   BRIEFINGS IN BIOINFORMATICS

The Dantzig Selector in Cox's Proportional Hazards Model

(2010) ANESTIS ANTONIADIS et al.   SCANDINAVIAN JOURNAL OF STATISTICS

Buckley-James Boosting for Survival Analysis with High-Dimensional Biomarker Data

(2010) Zhu Wang et al.   Statistical Applications in Genetics and Molecular Biology

Over-optimism in bioinformatics research

(2009) A.-L. Boulesteix   BIOINFORMATICS

Parallelized prediction error estimation for evaluation of high-dimensional models

(2009) Christine Porzelius et al.   BIOINFORMATICS

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

(2009) H. Binder et al.   BIOINFORMATICS

Incorporating Predictor Network in Penalized Regression with Application to Microarray Data

(2009) Wei Pan et al.   BIOMETRICS

Survival prediction from clinico-genomic models - a comparative study

(2009) Hege M Bøvelstad et al.   BMC BIOINFORMATICS

Incorporating pathway information into boosting estimation of high-dimensional risk prediction models

(2009) Harald Binder et al.   BMC BIOINFORMATICS

Covariate Selection for the Semiparametric Additive Risk Model

(2009) TORBEN MARTINUSSEN et al.   SCANDINAVIAN JOURNAL OF STATISTICS

Survival Analysis with High-Dimensional Covariates: An Application in Microarray Studies

(2009) David Engler et al.   Statistical Applications in Genetics and Molecular Biology

Survival analysis with high-dimensional covariates

(2009) Daniela M Witten et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Sparse regression techniques in low-dimensional survival data settings

(2009) Christine Porzelius et al.   STATISTICS AND COMPUTING

Twin Boosting: improved feature selection and prediction

(2009) Peter Bühlmann et al.   STATISTICS AND COMPUTING

A study of pre-validation

(2008) Holger Höfling et al.   Annals of Applied Statistics

Random survival forests

(2008) Hemant Ishwaran et al.   Annals of Applied Statistics

Sparse kernel methods for high-dimensional survival data

(2008) L. Evers et al.   BIOINFORMATICS

Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value

(2008) A.-L. Boulesteix et al.   BIOINFORMATICS

Network-constrained regularization and variable selection for analysis of genomic data

(2008) C. Li et al.   BIOINFORMATICS

Regularized Estimation for the Accelerated Failure Time Model

(2008) T. Cai et al.   BIOMETRICS

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

Survival prediction using gene expression data: A review and comparison

(2008) Wessel N. van Wieringen et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples

(2008) Harald Binder et al.   Statistical Applications in Genetics and Molecular Biology

Penalized regression with correlation-based penalty

(2008) Gerhard Tutz et al.   STATISTICS AND COMPUTING