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Generalized Estimating Equations
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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“We conducted explicit model selection procedures using Generalized Estimating Equations (see results in Text S1) to ensure the model was an optimal choice for the given data [30].”
From The relationship of sugar to population-level diabetes prevalence: an econometric analysis of repeated cross-sectional data (2013) · cites this paper as [30]
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Metadata
- Authors
- Hardin, J. W., & Hilbe, J. M.
- Affiliations
- University of South Carolina (US)
- Arizona State University (US)
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- 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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