Least squares estimation of regression parameters in mixed effects models with unmeasured covariates

DOI10.1080/03610929808832172zbMath0901.62089OpenAlexW2070563687MaRDI QIDQ3842905

Jun Shao, Roger P. Qu, Mari Palta

Publication date: 20 August 1998

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929808832172

zbMATH Keywords

longitudinal datarepeated measuresmisspecificationmarginal models

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99)

Related Items (1)

Omitted variables in longitudinal data models

Cites Work

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• Random-Effects Models for Longitudinal Data
• Iterative weighted least squares estimators
• Calibrating Confidence Coefficients
• The Effect of Covariance Structure on Variance Estimation in Balanced Growth-Curve Models with Random Parameters
• Estimation of Within Model Parameters in Regression Models With a Nested Error Structure
• On the Pooling of Time Series and Cross Section Data
• Confidence intervals on variance components in regression models with balanced (q-1)-fold nested error structure
• Efficient Inference in a Random Coefficient Regression Model
• Linear Statistical Inference and its Applications

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