Flexible Modelling of the Covariance Matrix in a Linear Random Effects Model

DOI<807::AID-BIMJ807>3.0.CO;2-3 10.1002/1521-4036(200011)42:7<807::AID-BIMJ807>3.0.CO;2-3zbMath0961.62102OpenAlexW2040713875MaRDI QIDQ4525981

Geert Verbeke, David Todem, Mike G. Kenward, Emmanuel Lesaffre

Publication date: 5 June 2001

Full work available at URL: https://doi.org/10.1002/1521-4036(200011)42:7<807::aid-bimj807>3.0.co;2-3

zbMATH Keywords

longitudinal datalinear mixed model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (3)

Bayesian model selection in linear mixed models for longitudinal data ⋮ Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors ⋮ Flexible estimation of serial correlation in nonlinear mixed models

Uses Software

• SAS/STAT
• OSWALD

Cites Work

• Unnamed Item
• Random-Effects Models for Longitudinal Data
• An Approach to the Analysis of Repeated Measurements
• The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines
• Nonparametric Estimation of Covariance Structure in Longitudinal Data
• Variance Components Testing in the Longitudinal Mixed Effects Model

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