Logistic Regression With Multiple Random Effects: A Simulation Study of Estimation Methods and Statistical Packages

DOI10.1080/00031305.2013.817357OpenAlexW2032089624WikidataQ37341300 ScholiaQ37341300MaRDI QIDQ5877131

Sherry Emery, Yoonsang Kim, Young-Ku Choi

Publication date: 3 February 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2013.817357

zbMATH Keywords

Laplace approximationpenalized quasi-likelihoodadaptive Gauss-Hermite integrationantismoking advertisingmixed-effects logistic regression

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (8)

Effect of misspecification of random effects distribution on the performance of parameters estimation methods in binary logistic mixed models ⋮ A marginalized multilevel model for bivariate longitudinal binary data ⋮ Functional clustering methods for binary longitudinal data with temporal heterogeneity ⋮ Comparative GMM and GQL logistic regression models on hierarchical data ⋮ On Adaptive Gauss-Hermite Quadrature for Estimation in GLMM’s ⋮ Unnamed Item ⋮ An Asynchronous Distributed Expectation Maximization Algorithm for Massive Data: The DEM Algorithm ⋮ Kim, Y., Choi, Y.-K., and Emery, S. (2013), “Logistic Regression With Multiple Random Effects: A Simulation Study of Estimation Methods and Statistical Packages,” The American Statistician, 67, 171-182

Uses Software

• lme4
• Stata
• SAS
• WWGbook
• SAS/STAT
• SuperMix

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Numerical integration in logistic-normal models
• Comparison of PQL and Laplace 6 estimates of hierarchical linear models when comparing groups of small incident rates in cluster randomised trials
• Accuracy of Laplace approximation for discrete response mixed models
• Logistic regression with random coefficients
• On the Effect of the Number of Quadrature Points in a Logistic Random Effects Model: An Example
• Laplace's approximation for nonlinear mixed models
• Approximate Inference in Generalized Linear Mixed Models
• Improved Approximations for Multilevel Models with Binary Responses
• Advanced Calculus with Applications in Statistics
• Bias correction in generalised linear mixed models with a single component of dispersion
• Longitudinal Data Analysis

This page was built for publication: Logistic Regression With Multiple Random Effects: A Simulation Study of Estimation Methods and Statistical Packages