A Generalization of the Familial Longitudinal Binary Model to the Multinomial Setup

DOI10.1007/978-3-319-31260-6_5zbMath1407.62196OpenAlexW2477685749MaRDI QIDQ4645251

Román Viveros-Aguilera, Taslim Sazzad Mallick, Brajendra Chandra Sutradhar

Publication date: 10 January 2019

Published in: Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-31260-6_5

zbMATH Keywords

multinomial logit modelcategorial responsesdynamic mixed modelsfamilial correlations through random effectslongitudinal correlations through dynamic relationships

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Point estimation (62F10)

Related Items (1)

Binary Dynamic Logit for Correlated Ordinal: estimation, application and simulation

Cites Work

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• Dynamic mixed models for familial longitudinal data
• Generalized method of moments versus generalized quasilikelihood inferences in binary panel data models
• An overview on regression models for discrete longitudinal responses
• Analyzing Bivariate Ordinal Data Using a Global Odds Ratio
• Miscellanea. On the efficiency of regression estimators in generalised linear models for longitudinal data
• Mixed Effects Models with Bivariate and Univariate Association Parameters for Longitudinal Bivariate Binary Response Data
• Approximate Inference in Generalized Linear Mixed Models
• On the use of a working correlation matrix in using generalised linear models for repeated measures
• Likelihood analysis of joint marginal and conditional models for longitudinal categorical data

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