Extending the mixed-effects model to consider within-subject variance for ecological momentary assessment data

DOI10.1002/sim.8429zbMATH Open1546.62561MaRDI QIDQ6627468

Donald Hedeker, Genevieve Dunton, Chih-Hsiang Yang, Rachel K. Nordgren

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

multilevelheteroscedasticityrandom effectsvariance modelingcomplex variationlog-linear variance

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• A Bayesian Approach to the Linear Model with Unequal Variances
• Simulation driven inferences for multiply imputed longitudinal datasets*
• Between- and Within-Cluster Covariate Effects in the Analysis of Clustered Data
• A Random-Effects Ordinal Regression Model for Multilevel Analysis
• Linear mixed models for longitudinal data

Related Items (3)

Fast estimation of mixed-effects location-scale regression models ⋮ An extension of the mixed-effects growth model that considers between-person differences in the within-subject variance and the autocorrelation ⋮ Defining R-squared measures for mixed-effects location scale models

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