Marginal methods for clustered longitudinal binary data with incomplete covariates

DOI10.1016/j.jspi.2012.04.006zbMath1428.62470OpenAlexW2061663271WikidataQ30540863 ScholiaQ30540863MaRDI QIDQ449361

Baojiang Chen, Richard J. Cook, Grace Y. Yi, Xiao-Hua Andrew Zhou

Publication date: 30 August 2012

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3690662

zbMATH Keywords

longitudinal dataassociationgeneralized estimating equationmissing covariates

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Cites Work

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• Simultaneously Modeling Joint and Marginal Distributions of Multivariate Categorical Responses
• Marginal Modeling of Correlated Ordinal Data Using a Multivariate Plackett Distribution
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Marginal Methods for Incomplete Longitudinal Data Arising in Clusters
• Estimation of the Causal Effect of a Time-Varying Exposure on the Marginal Mean of a Repeated Binary Outcome
• Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
• Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
• A Model for Binary Time Series Data with Serial Odds Ratio Patterns
• Weighted Generalized Estimating Functions for Longitudinal Response and Covariate Data That Are Missing at Random
• Maximum Likelihood Estimation of Misspecified Models

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