A comparison of two approaches for selecting covariance structures in the analysis of repeated measurements

DOI10.1080/03610919808813497zbMath0947.62015OpenAlexW2044520105MaRDI QIDQ4232052

Rhonda K. Kowalchuk, H. J. Keselman, James Algina, Russell D. Wolfinger

Publication date: 21 August 2000

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919808813497

zbMATH Keywords

Schwarz criterioncovariance structureAkaike criterionunbalanced nonspherical designs

Mathematics Subject Classification ID

Design of statistical experiments (62K99) Parametric hypothesis testing (62F03) Parametric inference (62F99)

Related Items

A model for extreme stacking of data at endpoints of a distribution: illustration with W-shaped data ⋮ Diagnostics for repeated measurements in nonlinear mixed effects models ⋮ Fixed and Random Effects Selection in Mixed Effects Models ⋮ Item response theory for longitudinal data: item and population ability parameters estimation ⋮ Item response theory for longitudinal data: population parameter estimation ⋮ The analysis of repeated measurements: a comparison of mixed-model satterthwaite f tests and a nonpooled adjusted degrees of freedom multivariate test ⋮ Performance of the Kenward–Roger Method when the Covariance Structure is Selected Using AIC and BIC ⋮ Model Selection for Linear Mixed Models Using Predictive Criteria ⋮ Analyzing Small Samples of Repeated Measures Data with the Mixed-Model AdjustedFTest ⋮ Effective simultaneous confidence bands for repeated measurements in linear mixed-effect models

Uses Software

• SAS
• MIXED
• SAS/STAT

Cites Work

• Unnamed Item
• Random-Effects Models for Longitudinal Data
• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• A significance test for multisample sphericity
• Estimating the dimension of a model
• On methods in the analysis of profile data
• Unbalanced Repeated-Measures Models with Structured Covariance Matrices
• Analysis of repeated measurements
• Covariance structure selection in general mixed models
• The analysis of repeated measurements: A quantitative research synthesis
• An improved general approximation test for the main effect in a split‐plot design
• COMPARISON BETWEEN TREATMENTS IN A REPEATED‐MEASUREMENT DESIGN: ANOVA AND MULTIVARIATE METHODS
• A new look at the statistical model identification