The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Linear and Generalized Linear Mixed Models and Their Applications
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Citations
Cites
Generalized Estimating Equations
Hardin, J. W., & Hilbe, J. M. (2008) · Wiley Encyclopedia of Clinical Trials · doi:10.1002/9780471462422.eoct485 · Cited by 36
Cited by
The arcsine is asinine: the analysis of proportions in ecology
Warton, D. I., & Hui, F. K. C. (2011) · Ecology · doi:10.1890/10-0340.1 · Cited by 2,280
A Linear-Time Algorithm for Gaussian and Non-Gaussian Trait Evolution Models
Tung Ho, L. S., & Ané, C. (2014) · Systematic Biology · doi:10.1093/sysbio/syu005 · Cited by 1,085
How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian Approaches
Stegmueller, D. (2013) · American Journal of Political Science · doi:10.1111/ajps.12001 · Cited by 818
Yu, Z., Guindani, M., Grieco, S. F., Chen, L., Holmes, T. C., & Xu, X. (2022) · Neuron · doi:10.1016/j.neuron.2021.10.030 · Cited by 563
Fixed effects, random effects and GEE: What are the differences?
Gardiner, J. C., Luo, Z., & Roman, L. A. (2009) · Statistics in Medicine · doi:10.1002/sim.3478 · Cited by 434
Metadata
- Venue
- Springer Series in Statistics
- Publisher
- Springer New York
- Published
- 2007
- ISSN
- 0172-7397 (ISSN-L)
- OpenAlex
- W1490768654
- Cited by
- 477
- References
- 1
- FWCI
- 4.36
- Type
- book
- Language
- en
- Open access
- closed
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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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- CoChat. (2026). Citation check: Linear and Generalized Linear Mixed Models and Their Applications. https://app.cochat.ai/papers/10.1007/978-0-387-47946-0
- The paper
- Linear and Generalized Linear Mixed Models and Their Applications. (2007). Springer Series in Statistics. https://doi.org/10.1007/978-0-387-47946-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.