Practical Review and Comparison of Modified Covariance Estimators for Linear Mixed Models in Small‐sample Longitudinal Studies with Missing Data

DOI10.1111/insr.12447OpenAlexW3156735679MaRDI QIDQ6067147

Kazushi Maruo, Masahiko Gosho, Hisashi Noma

Publication date: 14 December 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12447

zbMATH Keywords

covariance matrixmissing at randombias-corrected estimatorsmixed-effects models for repeated measuressmall clinical trials

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Applications of statistics (62Pxx) Multivariate analysis (62Hxx)

Cites Work

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• On the robust variance estimator in generalised estimating equations
• Small-sample adjustments to tests with unbalanced repeated measures assuming several covariance structures
• Inference and missing data
• Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
• A Note on the Efficiency of Sandwich Covariance Matrix Estimation
• Small Sample Correction for the Variance of GEE Estimators
• Analyzing Longitudinal Clinical Trial Data
• A Comparison of Two Bias‐Corrected Covariance Estimators for Generalized Estimating Equations
• Clinical Trials with Missing Data
• Linear mixed models for longitudinal data

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