Cluster adjusted regression for displaced subject data (CARDS): Marginal inference under potentially informative temporal cluster size profiles

DOI10.1111/BIOM.12456zbMath1419.62311OpenAlexW2207070264WikidataQ31032853 ScholiaQ31032853MaRDI QIDQ5739269

Somnath Datta, Joe Bible, James D. Beck

Publication date: 15 July 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4963003

zbMATH Keywords

informative cluster sizecluster weighted generalized estimating equationstemporally varying cluster size

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (3)

Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size ⋮ Semiparametric marginal methods for clustered data adjusting for informative cluster size with nonignorable zeros ⋮ Marginal analysis of multiple outcomes with informative cluster size

Cites Work

• Longitudinal data analysis using generalized linear models
• Marginal Analyses of Clustered Data When Cluster Size Is Informative
• Within-cluster resampling
• A Bayesian Approach for Joint Modeling of Cluster Size and Subunit-Specific Outcomes
• Informative Cluster Sizes for Subcluster-Level Covariates and Weighted Generalized Estimating Equations
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• Inference for marginal linear models for clustered longitudinal data with potentially informative cluster sizes
• Methods for observed‐cluster inference when cluster size is informative: A review and clarifications
• Mean estimating equation approach to analysing cluster-correlated data with nonignorable cluster sizes

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