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Vector Generalized Linear and Additive Models: With an Implementation in R
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Citations
Cited by
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Leung, N. H. L., Chu, D. K. W., Shiu, E. Y. C., Chan, K.-H., McDevitt, J. J., Hau, B. J. P., Yen, H.-L., Li, Y., Ip, D. K. M., Peiris, J. S. M., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0843-2 · Cited by 2,270
Single-cell mRNA quantification and differential analysis with Census
Qiu, X., Hill, A., Packer, J., Lin, D., Ma, Y.-A., & Trapnell, C. (2017) · Nature Methods · doi:10.1038/nmeth.4150 · Cited by 1,918
TCF-1-centered transcriptional network drives an effector versus exhausted CD8 T cell-fate decision
Chen, Z., Ji, Z., Ngiow, S. F., Manne, S., Cai, Z., Huang, A. C., Johnson, J., Staupe, R. P., Bengsch, B., Xu, C., et al. (2019) · Immunity · doi:10.1016/j.immuni.2019.09.013 · Cited by 709
A comprehensive single cell transcriptional landscape of human hematopoietic progenitors
Pellin, D., Loperfido, M., Baricordi, C., Wolock, S. L., Montepeloso, A., Weinberg, O. K., Biffi, A., Klein, A. M., & Biasco, L. (2019) · Nature Communications · doi:10.1038/s41467-019-10291-0 · Cited by 360
Three points to consider when choosing a LM or GLM test for count data
Warton, D. I., Lyons, M., Stoklosa, J., & Ives, A. R. (2016) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12552 · Cited by 192
“For example, counts may ormay not be overdispersed; there are a fewways overdispersion could be introduced (Hilbe 2007; Lind en & M€antyniemi 2011); the data could be zero-inflated (Cameron &Trivedi 2013; Yee 2015).”
Background
Metadata
- Authors
- Yee, T. W.
- Venue
- Springer Series in Statistics
- Publisher
- Springer New York
- Published
- 2015
- ISSN
- 0172-7397 (ISSN-L)
- 2197-568X
- OpenAlex
- W2485777128
- Cited by
- 379
- References
- 0
- FWCI
- 6.04
- Type
- book
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Vector Generalized Linear and Additive Models: With an Implementation in R. https://app.cochat.ai/papers/10.1007/978-1-4939-2818-7
- The paper
- Yee, T. W. (2015). Vector Generalized Linear and Additive Models: With an Implementation in R. Springer Series in Statistics. https://doi.org/10.1007/978-1-4939-2818-7
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.
