The DOI matches its Crossref record.
A note on a goodness-of-fit test for the logistic regression model
Abstract
A goodness-of-fit test for the logistic regression model is proposed which is asymptotically chi-squared and is computed as a quadratic form of observed counts minus the expected counts.
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Citations
Cited by
Flexible regression models with cubic splines
Durrleman, S., & Simon, R. (1989) · Statistics in Medicine · doi:10.1002/sim.4780080504 · Cited by 2,689
Assessing proportionality in the proportional odds model for ordinal logistic regression.
Brant, R. (1990) · Biometrics · doi:10.2307/2532457 · Cited by 1,864
High-dose barbiturate control of elevated intracranial pressure in patients with severe head injury
Eisenberg, H. M., Frankowski, R. F., Contant, C. F., Marshall, L. F., Walker, M. D., & _, _. (1988) · Journal of Neurosurgery · doi:10.3171/jns.1988.69.1.0015 · Cited by 593
Statistical methods in water resources
(2002) · doi:10.3133/twri04a3 · Cited by 367
Austin, P. C., & Steyerberg, E. W. (2014) · Statistics in Medicine · doi:10.1002/sim.5941 · Cited by 362
Metadata
- Authors
- TSIATIS, A. A.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1980
- Volume
- 67
- Issue
- 1
- Pages
- 250-251
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2059104151
- Cited by
- 169
- References
- 0
- FWCI
- 1.78
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: A note on a goodness-of-fit test for the logistic regression model. https://app.cochat.ai/papers/10.1093/biomet/67.1.250
- The paper
- TSIATIS, A. A. (1980). A note on a goodness-of-fit test for the logistic regression model. Biometrika. https://doi.org/10.1093/biomet/67.1.250
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.
