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

Generalized Estimating Equations

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

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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Crossref · 10.1201/9781420035285

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Authors
Hardin, J. W., & Hilbe, J. M.
Affiliations
  • University of South Carolina (US)
  • Arizona State University (US)
Venue
Chapman & Hall/CRC eBooks
Published
2002-07-30
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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