Structured Modeling for Post-Mortem Brain Tissue Data

DOI10.1080/03610926.2010.539745zbMath1319.62223OpenAlexW2156819819MaRDI QIDQ3168527

Allan R. Sampson, Qiang Wu

Publication date: 31 October 2012

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

Full work available at URL: https://doi.org/10.1080/03610926.2010.539745

zbMATH Keywords

maximum likelihoodschizophreniapatterned covariance matrixone-iteration estimatorstructured means

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Longitudinal data analysis using generalized linear models
• Random-Effects Models for Longitudinal Data
• Missing data in the one-population multivariate normal patterned mean and covariance matrix testing and estimation problem
• Asymptotic nonnull distributions for likelihood ratio statistics in the multivariate normal patterned mean and covariance matrix testing problem
• Assessing normality in random effects models
• Asymptotically efficient estimation of covariance matrices with linear structure
• Unbalanced Repeated-Measures Models with Structured Covariance Matrices
• Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
• Generalized Least Squares, Taylor Series Linearization and Fisher's Scoring in Multivariate Nonlinear Regression

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