Multinomial logistic mixed models for clustered categorical data in a complex survey sampling setup

DOI10.1007/S13171-020-00215-2OpenAlexW3088955706MaRDI QIDQ2082346

Brajendra Chandra Sutradhar

Publication date: 4 October 2022

Published in: Sankhyā. Series A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13171-020-00215-2

zbMATH Keywords

consistencynormalitylarge sample propertiesclustered categorical dataclustered correlations through common random effectcomplex survey designcorrect mean specificationfinite/survey population setupgeneralized quasi-likelihood and method of moments estimationsurvey weighted estimation

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Measures of association (correlation, canonical correlation, etc.) (62H20) Point estimation (62F10)

Cites Work

• Longitudinal data analysis using generalized linear models
• Longitudinal categorical data analysis
• Pseudo-likelihood and quasi-likelihood estimation for complex sampling schemes
• Inferences in binary dynamic fixed models in a semi-parametric setup
• An overview on regression models for discrete longitudinal responses
• Quasi-likelihood functions
• GMM versus GQL inferences in semiparametric linear dynamic mixed models
• Analysing ordinal longitudinal survey data: Generalised estimating equations approach
• Logistic regression analysis of sample survey data
• The Role of Sampling Weights When Modeling Survey Data
• Parameters of Superpopulation and Survey Population: Their Relationships and Estimation
• Generalized Variance Functions in Stratified Two-Stage Sampling
• Generalised quasi‐likelihood inference in a semi‐parametric binary dynamic mixed logit model
• Mixed Effects Models with Bivariate and Univariate Association Parameters for Longitudinal Bivariate Binary Response Data
• Approximate Inference in Generalized Linear Mixed Models
• Modelling Overdispersion for Complex Survey Data
• Analysis of Categorical Data for Complex Surveys
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