Cited by 1,766Statistical Methods and Bayesian InferenceSpatial and Panel Data AnalysisStatistical Methods and Inference

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Generalized Estimating Equations

Hardin, James W., Hilbe, Joseph M.·2002·Chapman & Hall/CRC eBooks

DOI 10.1201/9781420035285

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Abstract

Although powerful and flexible, the method of generalized linear models (GLM) is limited in its ability to accurately deal with longitudinal and clustered data. Developed specifically to accommodate these data types, the method of Generalized Estimating Equations (GEE) extends the GLM algorithm to accommodate the correlated data encountered in heal

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Self-citation

Authors: Hardin, J. W., & Hilbe, J. M.
Affiliations: University of South Carolina (US)
Arizona State University (US)
ORCID: Hardin, James W.
Hilbe, Joseph M.
Venue: Chapman & Hall/CRC eBooks
Publisher: Chapman and Hall/CRC
Published: 2002-07-30
DOI: 10.1201/9781420035285
OpenAlex: W1600582725
Cited by: 1,766
References: 0
Citations by year: 2026: 12 · 2025: 49 · 2024: 30 · 2023: 30 · 2022: 37 · 2021: 67 · 2020: 75 · 2019: 76 · 2018: 65 · 2017: 83 · 2016: 99 · 2015: 89 · 2014: 127 · 2013: 148 · 2012: 131
FWCI: 9.16
Type: book
Language: en
Open access: closed
Locations: Chapman & Hall/CRC eBooks (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
Keywords: generalized estimating equations, generalized linear models, longitudinal data, clustered data, correlated data, repeated measures

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