An Application of a Mixed-Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data

DOI10.1111/j.1541-0420.2007.00924.xzbMath1137.62085OpenAlexW2019080254WikidataQ31134813 ScholiaQ31134813MaRDI QIDQ85027

Robin J. Mermelstein, Donald Hedeker, Hakan Demirtas, Hakan Demirtas, Robin J. Mermelstein, Donald R. Hedeker

Publication date: June 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2424261

zbMATH Keywords

multilevelheteroscedasticityvariance modelingcomplex variationlog-linear variance

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Estimation in survival analysis and censored data (62N02)

Related Items (8)

A Lasso and a regression tree mixed-effect model with random effects for the level, the residual variance, and the autocorrelation ⋮ WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data ⋮ Heterogeneous heterogeneity by default: Testing categorical moderators in mixed‐effects meta‐analysis ⋮ Application of correlated time-to-event models to ecological momentary assessment data ⋮ LMMELSM ⋮ Tree-structured scale effects in binary and ordinal regression ⋮ The reliability factor: modeling individual reliability with multiple items from a single assessment ⋮ A latent variable mixed-effects location scale model with an application to daily diary data

Uses Software

• GLIM
• SAS
• SAS/STAT

Cites Work

• Unnamed Item
• Unnamed Item
• Is volatility lognormal? Evidence from Italian futures
• A Bayesian Approach to the Linear Model with Unequal Variances
• Estimating Regression Models with Multiplicative Heteroscedasticity
• Random effects and variances as a synthesis of nonlinear regression analyses of mitochondrial electron transport
• Linear Mixed Models with Heterogeneous within-Cluster Variances
• Joint Estimation of Location, Dispersion, and Random Effects in Robust Design
• Between- and Within-Cluster Covariate Effects in the Analysis of Clustered Data
• Partial Likelihood Analysis of Within-Unit Variances in Repeated Measurement Experiments

This page was built for publication: An Application of a Mixed-Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data