Random forest and variable importance rankings for correlated survival data, with applications to tooth loss

DOI10.1177/1471082X14535517MaRDI QIDQ4971011

Melodie J. Hallett, Martha E. Nunn, Xiaogang Su, Juanjuan Fan, Richard A. Levine

Publication date: 8 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

random forestcorrelated survival datavariable importancedental applicationsprognostic rulesVA dental longitudinal study

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R
• ElemStatLearn

Cites Work

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• Bagging predictors
• Multivariate exponential survival trees and their application to tooth prognosis
• Stratification by stepwise regression, correspondence analysis and recursive partition: A comparison of three methods of analysis for survival data with covariates
• Analyzing bagging
• Multivariate Survival Trees: A Maximum Likelihood Approach Based on Frailty Models
• Variable Selection for Classification and Regression in Large p, Small n Problems
• Extremely randomized trees
• Random forests

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