Tree-based varying coefficient regression for longitudinal ordinal responses

DOI10.1016/j.csda.2015.01.003zbMath1468.62033OpenAlexW2087045073WikidataQ60726025 ScholiaQ60726025MaRDI QIDQ1663330

Gilbert Ritschard, Reto Bürgin

Publication date: 21 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2015.01.003

zbMATH Keywords

varying coefficient modelsrecursive partitioningmixed modelsgeneralized linear modelslongitudinal data analysisstatistical learningordinal regression

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Generalized linear models (logistic models) (62J12)

Related Items (6)

A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution ⋮ Generalized mixed effects regression trees ⋮ A new mixed‐effects regression model for the analysis of zero‐modified hierarchical count data ⋮ svReg: Structural varying‐coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups ⋮ Tree-structured modelling of varying coefficients ⋮ Tree-structured modelling of categorical predictors in generalized additive regression

Uses Software

• R
• Fahrmeir
• vcrpart
• catdata

Cites Work

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• Modeling Longitudinal Data with Ordinal Response by Varying Coefficients
• Tests For Constancy Of Model Parameters Over Time
• A Random-Effects Ordinal Regression Model for Multilevel Analysis
• Bootstrapping Clustered Data
• Improved Estimation in Cumulative Link Models
• Multivariate statistical modelling based on generalized linear models.
• The elements of statistical learning. Data mining, inference, and prediction
• Random forests

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