Gaussian copula mixed models for clustered mixed outcomes, with application in developmental toxicology

DOI10.1007/s13253-013-0155-9zbMath1303.62099OpenAlexW2084122520MaRDI QIDQ486151

Beilei Wu, Alexander R. de Leon

Publication date: 14 January 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-013-0155-9

zbMATH Keywords

latent variablesgeneralized linear mixed modelsbiserial correlationlogit-normal gaussian copula mixed modelmixed binary-continuous datarobit-\(t\) Gaussian copula mixed modeltetrachoric correlation

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (3)

Gaussian copula joint models to analysis mixed correlated longitudinal count and continuous responses ⋮ An adaptation of pseudo-score confidence interval method for linear mixed models ⋮ Copula regression models for discrete and mixed bivariate responses

Uses Software

• SAS
• gcmr
• PROC NLMIXED

Cites Work

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• A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses
• Likelihood Models for Clustered Binary and Continuous Out comes: Application to Developmental Toxicology
• Jackknife Estimators of Variance for Parameter Estimates from Estimating Equations with Applications to Clustered Survival Data
• Regression Models for a Bivariate Discrete and Continuous Outcome with Clustering

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