The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The R Package geepack for Generalized Estimating Equations
Open accessAbstract
This paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEE) approach for fitting marginal generalized linear models to clustered data. Clustered data arise in many applications such as longitudinal data and repeated measures. The GEE approach focuses on models for the mean of the correlated observations within clusters without fully specifying the joint distribution of the observations. It has been widely used in statistical practice. This paper illustrates the application of the GEE approach with geepack through an example of clustered binary data.
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Cites
Review of Software to Fit Generalized Estimating Equation Regression Models
Horton, N. J., & Lipsitz, S. R. (1999) · The American Statistician · doi:10.1080/00031305.1999.10474451 · Cited by 387
Cited by
Romero, R., Hassan, S. S., Gajer, P., Tarca, A. L., Fadrosh, D. W., Nikita, L., Galuppi, M., Lamont, R. F., Chaemsaithong, P., Miranda, J., et al. (2014) · Microbiome · doi:10.1186/2049-2618-2-4 · Cited by 852
van Kampen, J. J. A., van de Vijver, D. A. M. C., Fraaij, P. L. A., Haagmans, B. L., Lamers, M. M., Okba, N., van den Akker, J. P. C., Endeman, H., Gommers, D. A. M. P. J., Cornelissen, J. J., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20568-4 · Cited by 838
A practical solution to pseudoreplication bias in single-cell studies
Zimmerman, K. D., Espeland, M. A., & Langefeld, C. D. (2021) · Nature Communications · doi:10.1038/s41467-021-21038-1 · Cited by 356
Tobi, E. W., Slieker, R. C., Luijk, R., Dekkers, K. F., Stein, A. D., Xu, K. M., Biobank-based Integrative Omics Studies Consortium, Slagboom, P. E., van Zwet, E. W., Lumey, L. H., et al. (2018) · Science Advances · doi:10.1126/sciadv.aao4364 · Cited by 284
“For their robustness, we used generalized estimating equations as implemented in the R geepack package (67) for the series of EWAS for potential mediators.”
MethodHinds, D. A., McMahon, G., Kiefer, A. K., Do, C. B., Eriksson, N., Evans, D. M., St Pourcain, B., Ring, S. M., Mountain, J. L., Francke, U., et al. (2013) · Nature Genetics · doi:10.1038/ng.2686 · Cited by 246
Metadata
- Authors
- Halekoh, U., Højsgaard, S., & Yan, J.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2006
- Volume
- 15
- Issue
- 2
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W1950067960
- Cited by
- 1,907
- References
- 1
- FWCI
- 7.02
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Halekoh, U., Højsgaard, S., & Yan, J. (2006). The R Package geepack for Generalized Estimating Equations. Journal of Statistical Software. https://doi.org/10.18637/jss.v015.i02
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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