Marginal modeling of multilevel binary data with time-varying covariates

DOI10.1093/biostatistics/kxg042zbMath1154.62397OpenAlexW4297820480WikidataQ30939305 ScholiaQ30939305MaRDI QIDQ5701270

Diana L. Miglioretti, Patrick J. Heagerty

Publication date: 2 November 2005

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxg042

zbMATH Keywords

Hierarchical modelsLongitudinal dataMarginalConditionalEndogeneityTransition models

Mathematics Subject Classification ID

Related Items (8)

Marginalized Models for Moderate to Long Series of Longitudinal Binary Response Data ⋮ Longitudinal nominal data analysis using marginalized models ⋮ Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study ⋮ Rejoinder: Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study ⋮ A robust pairwise likelihood method for incomplete longitudinal binary data arising in clusters ⋮ Likelihood-based approach for analysis of longitudinal nominal data using marginalized random effects models ⋮ Marginalized transition shared random effects models for longitudinal binary data with nonignorable dropout ⋮ Marginalized transition random effect models for multivariate longitudinal binary data

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