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

DOI10.1080/02664763.2021.1906849OpenAlexW3144917581MaRDI QIDQ5093040

Yingzi Li, Nairanjana Dasgupta, Huinan Liu

Publication date: 26 July 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2021.1906849

zbMATH Keywords

longitudinal datarepeated measuresgeneralized estimating equationsordinal categorical databinary dynamic logit for correlated ordinal

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• R

Cites Work

• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Many to one comparisons in a longitudinal binary data setup
• Longitudinal categorical data analysis
• Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
• Inferences in binary dynamic fixed models in a semi-parametric setup
• Analyzing Bivariate Ordinal Data Using a Global Odds Ratio
• Joint Regression and Association Modeling of Longitudinal Ordinal Data
• Miscellanea. On the efficiency of regression estimators in generalised linear models for longitudinal data
• Marginal Methods for Incomplete Longitudinal Data Arising in Clusters
• A Generalization of the Familial Longitudinal Binary Model to the Multinomial Setup
• Dynamic Models for Longitudinal Ordinal Non-stationary Categorical Data
• On the use of a working correlation matrix in using generalised linear models for repeated measures

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