A D‐vine copula‐based model for repeated measurements extending linear mixed models with homogeneous correlation structure

DOI10.1111/BIOM.12867zbMath1414.62450arXiv1705.06261OpenAlexW2946823105WikidataQ57162667 ScholiaQ57162667MaRDI QIDQ4628365

Matthias Killiches, Claudia Czado

Publication date: 13 March 2019

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1705.06261

zbMATH Keywords

longitudinal datalinear mixed modelsrepeated measurementsvine copulasunbalanced setting

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Characterization and structure theory for multivariate probability distributions; copulas (62H05)

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Vine copula statistical disclosure control for mixed-type data ⋮ A Time-Heterogeneous D-Vine Copula Model for Unbalanced and Unequally Spaced Longitudinal Data ⋮ A copula-based GLMM model for multivariate longitudinal data with mixed-types of responses

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