Some applications of the analysis of multivariate normal data with missing observations

DOI10.1080/10543409508835109zbMath0907.62067OpenAlexW2074126866WikidataQ36684176 ScholiaQ36684176MaRDI QIDQ4216079

William D. Johnson, Warren May

Publication date: 8 December 1998

Published in: Journal of Biopharmaceutical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10543409508835109

zbMATH Keywords

repeated measuresgeneralized estimating equationsmissing datalongitudinal studiescovariance structuresscore equations

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Generalized linear models (logistic models) (62J12)

Related Items (1)

A cautionary note on the analysis of randomized block designs with a few missing values

Uses Software

• SAS/STAT

Cites Work

• Longitudinal data analysis using generalized linear models
• Random-Effects Models for Longitudinal Data
• Unbalanced Repeated-Measures Models with Structured Covariance Matrices
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
• A sharper Bonferroni procedure for multiple tests of significance
• On difference of means with incomplete data
• Analysis of Longitudinal Data with Unequally Spaced Observations and Time- Dependent Correlated Errors
• A test for equality of means of correlated variates with missing data on one response
• A new look at the statistical model identification

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