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Consistent Estimators in Generalized Linear Mixed Models

Jiang, Jiming·1998·Journal of the American Statistical Association

DOI 10.1080/01621459.1998.10473724

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Abstract

A simple method based on simulated moments is proposed for estimating the fixed-effects and variance components in a generalized linear mixed model (GLMM). It is shown that the method is not only computationally attractive but also leads to consistent estimators. On the other hand, simulation shows that the method can be quite inefficient.

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Self-citation

Authors: Jiang, J.
Affiliations: Case Western Reserve University (US)
Corresponding author: Jiang, Jiming
ORCID: Jiang, Jiming
Venue: Journal of the American Statistical Association
Publisher: Informa UK Limited
Published: 1998-06
Volume: 93
Issue: 442
Pages: 720-729
ISSN: 0162-1459 (ISSN-L)
1537-274X
DOI: 10.1080/01621459.1998.10473724
OpenAlex: W2132137727
Cited by: 149
References: 24
Citations by year: 2026: 1 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 5 · 2021: 13 · 2020: 3 · 2019: 2 · 2018: 3 · 2017: 4 · 2016: 4 · 2015: 5 · 2014: 4 · 2013: 4 · 2012: 5
FWCI: 5.63
Type: journal article
Language: en
Open access: closed
Locations: Journal of the American Statistical Association (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Markov Chains and Monte Carlo Methods
Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
Keywords: generalized linear mixed models, consistent estimators, fixed effects estimation, variance component estimation, computational efficiency

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Consistent Estimators in Generalized Linear Mixed Models

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