Regression trees for longitudinal and multiresponse data

DOI10.1214/12-AOAS596zbMath1454.62198arXiv1209.4690OpenAlexW3105262881MaRDI QIDQ1951544

Wei Zheng, Weih-Yin Loh

Publication date: 6 June 2013

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1209.4690

zbMATH Keywords

decision treerecursive partitioningselection biasCARTgeneralized estimating equationmissing valueslinear mixed effects modellowess

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (11)

Seemingly unrelated regression tree ⋮ Unbiased regression trees for longitudinal and clustered data ⋮ Generalized mixed effects regression trees ⋮ BiMM tree: a decision tree method for modeling clustered and longitudinal binary outcomes ⋮ Repeated measures random forests (RMRF): Identifying factors associated with nocturnal hypoglycemia ⋮ Mixed-effect models with trees ⋮ Predictions of machine learning with mixed-effects in analyzing longitudinal data under model misspecification ⋮ Tree-based ensembles for multi-output regression: comparing multivariate approaches with separate univariate ones ⋮ Regularization-based model tree for multi-output regression ⋮ Estimating the rate constant from biosensor data via an adaptive variational Bayesian approach ⋮ Regression trees for detecting preference patterns from rank data

Uses Software

• UCI-ml
• lme4
• mvpart
• geepack

Cites Work

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• Nonparametric estimation of conditional quantiles using quantile regression trees
• Multivariate Regression Trees for Analysis of Abundance Data
• Classification Trees for Multiple Binary Responses
• Robust Locally Weighted Regression and Smoothing Scatterplots

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