Ensemble survival tree models to reveal pairwise interactions of variables with time-to-events outcomes in low-dimensional setting
type: Item
instance of: scholarly article
title: Ensemble survival tree models to reveal pairwise interactions of variables with time-to-events outcomes in low-dimensional setting
zbMATH Open document ID: 1398.92010
author: Jean-Eudes Dazard
author: Hemant Ishwaran
author: Rajeev Mehlotra
author: Aaron Weinberg
author: Peter Zimmerman
published in: Statistical Applications in Genetics and Molecular Biology
publication date: 2018-09-11T00:00:00Z
full work available at URL: pmc5844232
Mathematics Subject Classification ID: 92B15
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62N03
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 92D10
zbMATH DE Number: 6934768
zbMATH Keywords: epistasis
zbMATH Keywords: genetic variations interactions
zbMATH Keywords: interaction detection and modeling
zbMATH Keywords: random survival forest
zbMATH Keywords: time-to-event analysis
Wikidata QID: Q49905853
describes a project that uses: CRAN
describes a project that uses: randomSurvivalForest
describes a project that uses: ElemStatLearn
describes a project that uses: randomForestSRC
describes a project that uses: bootstrap
describes a project that uses: ggRandomForests
describes a project that uses: hierNet
describes a project that uses: GBOOST
MaRDI profile type: Publication
OpenAlex ID: W2790219140
cites work: A lasso for hierarchical interactions
cites work: Random forests
cites work: Q5654899
cites work: Q4139463
cites work: Q4318617
cites work: Proportional hazards tests and diagnostics based on weighted residuals
cites work: Variable importance in binary regression trees and forests
cites work: Random survival forests
cites work: High-Dimensional Variable Selection for Survival Data
cites work: Nonparametric Estimation from Incomplete Observations
cites work: Survival Trees by Goodness of Split
cites work: Random Forests and Adaptive Nearest Neighbors
cites work: Regression Trees for Censored Data
cites work: A Permutation Approach to Testing Interactions for Binary Response by Comparing Correlations Between Classes
cites work: A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates
cites work: Regularization and Variable Selection Via the Elastic Net
DOI: 10.1515/SAGMB-2017-0038
description: scientific article; zbMATH DE number 6934768