Personalized Risk Prediction in Clinical Oncology Research: Applications and Practical Issues Using Survival Trees and Random Forests

Molecular-Based Recursive Partitioning Analysis Model for Glioblastoma in the Temozolomide Era

(2017) Erica Hlavin Bell et al.   JAMA Oncology

Doubly robust survival trees

(2016) Jon Arni Steingrimsson et al.   STATISTICS IN MEDICINE

Comparison of Splitting Methods on Survival Tree

(2015) Asanao Shimokawa et al.  

Comparison of Splitting Methods on Survival Tree

(2015) Asanao Shimokawa et al.   International Journal of Biostatistics

Evaluating Random Forests for Survival Analysis Using Prediction Error Curves

(2015) Ulla B. Mogensen et al.   Journal of Statistical Software

Random survival forests for competing risks

(2014) H. Ishwaran et al.   BIOSTATISTICS

A random forest approach for competing risks based on pseudo-values

(2013) Ulla B. Mogensen et al.   STATISTICS IN MEDICINE

Random forests for genomic data analysis

(2012) Xi Chen et al.   GENOMICS

Recursively Imputed Survival Trees

(2012) Ruoqing Zhu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A new variable importance measure for random forests with missing data

(2012) Alexander Hapfelmeier et al.   STATISTICS AND COMPUTING

High-Dimensional Variable Selection for Survival Data

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

Consistency of random survival forests

(2010) Hemant Ishwaran et al.   STATISTICS & PROBABILITY LETTERS

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN

Random survival forests

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