Comparing alternating logistic regressions to other approaches to modelling correlated binary data

DOI10.1080/00949655.2014.916707zbMath1457.62218OpenAlexW2055805721MaRDI QIDQ5220848

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Publication date: 27 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2014.916707

zbMATH Keywords

generalized estimating equationsgeneralized linear mixed modelshierarchical datapenalized quasi-likelihoodthree-level dataalternating logistic regressionsadaptive Gaussian Hermite quadrature

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Uses Software

• lme4

Cites Work

• Unnamed Item
• Analysis of correlated binary data under partially linear single-index logistic models
• Models for discrete longitudinal data.
• Correlated Binary Regression with Covariates Specific to Each Binary Observation
• Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
• Modelling multivariate binary data with alternating logistic regressions
• Approximate Inference in Generalized Linear Mixed Models
• Improved Estimation Procedures for Multilevel Models with Binary Response: A Case-Study
• A Model for Binary Time Series Data with Serial Odds Ratio Patterns
• Bias correction in generalised linear mixed models with a single component of dispersion
• A case study on the choice, interpretation and checking of multilevel models for longitudinal binary outcomes

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