Flexible estimation of serial correlation in nonlinear mixed models

DOI10.1080/02664760902914425OpenAlexW2071452186MaRDI QIDQ5123581

Peter Paul de Deyn, Ellen Vloeberghs, Jan Serroyen, Geert Verbeke, Marc Aerts, Geert Molenberghs

Publication date: 29 September 2020

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

Full work available at URL: http://hdl.handle.net/1942/11050

zbMATH Keywords

ordinary least squaresAlzheimer's diseaserandom effectdementia

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R
• SemiPar
• FITPACK

Cites Work

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• Longitudinal data analysis using generalized linear models
• Random-Effects Models for Longitudinal Data
• An Approach to the Analysis of Repeated Measurements
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• Semiparametric Regression
• On modelling mean-covariance structures in longitudinal studies
• Flexible Modelling of the Covariance Matrix in a Linear Random Effects Model
• Nonparametric Estimation of Covariance Structure in Longitudinal Data
• Bayesian inference for variance components using only error contrasts
• Mixed effects multivariate adaptive splines model for the analysis of longitudinal and growth curve data
• Linear mixed models for longitudinal data

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