The benefit of data-based model complexity selection via prediction error curves in time-to-event data

High-Dimensional Variable Selection for Survival Data

(2010) Hemant Ishwaran et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A general, prediction error-based criterion for selecting model complexity for high-dimensional survival models

(2010) Christine Porzelius et al.   STATISTICS IN MEDICINE

Kernels and Ensembles

(2008) Mu Zhu   AMERICAN STATISTICIAN

Random survival forests

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

The Performance of Risk Prediction Models

(2008) Thomas A. Gerds et al.   BIOMETRICAL JOURNAL

Biostatistical Aspects of Genome-Wide Association Studies

(2008) Andreas Ziegler et al.   BIOMETRICAL JOURNAL

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

(2008) Harald Binder et al.   BMC BIOINFORMATICS

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Subclassification and Individual Survival Time Prediction from Gene Expression Data of Neuroblastoma Patients by Using CASPAR

(2008) A. Oberthuer et al.   CLINICAL CANCER RESEARCH