On the existence of maximum likelihood estimates in random effects models for clustered multivariate binary data

DOI10.1007/s00184-009-0263-2zbMath1206.62110OpenAlexW2010705897MaRDI QIDQ622555

KyungMann Kim, David Todem

Publication date: 3 February 2011

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-009-0263-2

zbMATH Keywords

linear programmingrandom effectsmaximum likelihood estimateslatent variablescorrelated binary datathreshold valuesexistence/uniqueness conditionspolychoric correlation coefficient

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Measures of association (correlation, canonical correlation, etc.) (62H20)

Uses Software

• CPLEX
• Mplus

Cites Work

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• Longitudinal data analysis using generalized linear models
• Random-Effects Models for Longitudinal Data
• On the existence of maximum likelihood estimates in logistic regression models
• A Structural Probit Model with Latent Variables
• Probit and logistic discriminant functions
• Existence and Uniqueness of the Maximum Likelihood Estimator for a Multivariate Probit Model
• Mixed Effects Models with Bivariate and Univariate Association Parameters for Longitudinal Bivariate Binary Response Data
• Mixed Models
• A note on the existence of the posterior distribution for a class of mixed models for binomial responses
• Identifiability of Mixtures
• Linear mixed models for longitudinal data

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