The DOI matches its Crossref record.
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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Items 1,001–1,005 of 1,005
Ray, L., Outten, B., & Gottlieb, K. (2020) · International Journal of Circumpolar Health · doi:10.1080/22423982.2019.1705048 · Cited by 3
Goldschmied, N., Ramona, A., Stilman, E., Bomberger, E., Lehman, F., Malek, K., & Minagawa, R. (2025) · Psychological Reports · doi:10.1177/00332941231202453
DiClemente, R. J., Wingood, G. M., Harrington, K. F., Lang, D. L., Davies, S. L., Hook III, E. W., Oh, M. K., Crosby, R. A., Hertzberg, V. S., Gordon, A. B., et al. (2004) · JAMA · doi:10.1001/jama.292.2.171 · Cited by 16
Self-citationKrieger, J. W., Takaro, T. K., Song, L., & Weaver, M. (2005) · American Journal of Public Health · doi:10.2105/ajph.2004.042994 · Cited by 413
Aversive racism and medical interactions with Black patients: A field study
Penner, L. A., Dovidio, J. F., West, T. V., Gaertner, S. L., Albrecht, T. L., Dailey, R. K., & Markova, T. (2010) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2009.11.004 · Cited by 394
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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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