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Logistic Regression Models
Abstract
Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The text illustrates how to apply the various models t
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Citations
Cited by
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(2011) · Springer eBooks · doi:10.1007/978-4-431-99495-4 · Cited by 759
Westreich, D., Lessler, J., & Funk, M. J. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.11.020 · Cited by 502
Crisp, G., Nora, A., & Taggart, A. (2009) · American Educational Research Journal · doi:10.3102/0002831209349460 · Cited by 497
RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans
Jin, Q., Meng, Z., Sun, C., Cui, H., & Su, R. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.605132 · Cited by 468
A review of channel selection algorithms for EEG signal processing
Alotaiby, T., El-Samie, F. E. A., Alshebeili, S. A., & Ahmad, I. (2015) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/s13634-015-0251-9 · Cited by 454
Metadata
- Authors
- Hilbe, J. M.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2009-05-11
- OpenAlex
- W298212978
- Cited by
- 2,588
- References
- 0
- FWCI
- 34.53
- Type
- book
- Language
- en
- Open access
- closed
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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.
