The DOI matches its Crossref record.
Negative binomial and mixed Poisson regression
Abstract
A number of methods have been proposed for dealing with extra‐Poisson variation when doing regression analysis of count data. This paper studies negative‐binomial regression models and examines efficiency and robustness properties of inference procedures based on them. The methods are compared with quasilikelihood methods.
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Citations
Cited by
Differential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
ESTIMATING ABUNDANCE FROM REPEATED PRESENCE–ABSENCE DATA OR POINT COUNTS
Royle, J. A., & Nichols, J. D. (2003) · Ecology · doi:10.1890/0012-9658(2003)084[0777:eafrpa]2.0.co;2 · Cited by 1,364
Do Fair Procedures Matter? The Effect of Procedural Justice on Spouse Assault
Paternoster, R., Bachman, R., Brame, R., & Sherman, L. W. (1997) · Law & Society Review · doi:10.2307/3054098 · Cited by 588
The CONNECT (Clinical Evaluation of Remote Notification to Reduce Time to Clinical Decision) Trial
Crossley, G. H., Boyle, A., Vitense, H., Chang, Y., & Mead, R. H. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.12.012 · Cited by 526
Tests for Detecting Overdispersion in Poisson Regression Models
Dean, C., & Lawless, J. F. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478792 · Cited by 342
Self-citation
Metadata
- Authors
- Lawless, J. F.
- Venue
- Canadian Journal of Statistics
- Publisher
- Wiley
- Published
- 1987-09
- Volume
- 15
- Issue
- 3
- Pages
- 209-225
- ISSN
- 0319-5724 (ISSN-L)
- 1708-945X
- OpenAlex
- W2085309210
- Cited by
- 1,099
- References
- 0
- FWCI
- 7.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lawless, J. F. (1987). Negative binomial and mixed Poisson regression. Canadian Journal of Statistics. https://doi.org/10.2307/3314912
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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.
