The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice
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Citations
Cites
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
The theory and practice of econometrics
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Estimation and Inference in Nonlinear Structural ModelsPreprint
Berndt, E. R., Hall, B. H., Hall, R. E., & Hausman, J. A. (1974) · RePEc: Research Papers in Economics · Cited by 2,094
Shea, A. (1992) · Journal of the Operational Research Society · doi:10.1057/jors.1992.108 · Cited by 996
An ordered probit analysis of transaction stock prices
(1990) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 411
The theory and practice of econometrics
Dielman, T. E. (1986) · International Journal of Forecasting · doi:10.1016/0169-2070(86)90119-6 · Cited by 254
The Potentiating Effects of Alcohol on Driver Injury
Waller, P. F. (1986) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1986.03380110067028 · Cited by 236
THE NATIONAL COOPERATIVE HIGHWAY RESEARCH PROGRAM
Mickle, D. G. (1966) · Traffic quarterly · Cited by 219
Personal and behavioral predictors of automobile crash and injury severity
Kim, K., Nitz, L., Richardson, J., & Li, L. (1995) · Accident Analysis & Prevention · doi:10.1016/0001-4575(95)00001-g · Cited by 198
Youth, alcohol and relative risk of crash involvement
Mayhew, D. R., Donelson, A. C., Beirness, D. J., & Simpson, H. M. (1986) · Accident Analysis & Prevention · doi:10.1016/0001-4575(86)90042-4 · Cited by 172
Cited by
Huang, H., Chin, H. C., & Haque, M. M. (2008) · Accident Analysis & Prevention · doi:10.1016/j.aap.2007.04.002 · Cited by 373
Analysis of injury severity and vehicle occupancy in truck- and non-truck-involved accidents
Chang, L.-Y., & Mannering, F. (1999) · Accident Analysis & Prevention · doi:10.1016/s0001-4575(99)00014-7 · Cited by 329
Multilevel data and Bayesian analysis in traffic safety
Huang, H., & Abdel-Aty, M. (2010) · Accident Analysis & Prevention · doi:10.1016/j.aap.2010.03.013 · Cited by 294
A comprehensive analysis of factors influencing the injury severity of large-truck crashes
Zhu, X., & Srinivasan, S. (2011) · Accident Analysis & Prevention · doi:10.1016/j.aap.2010.07.007 · Cited by 290
Islam, S., & Mannering, F. (2006) · Journal of Safety Research · doi:10.1016/j.jsr.2006.04.003 · Cited by 260
Metadata
- Authors
- O'Donnell, C. J., & Connor, D. H.
- Venue
- Accident Analysis & Prevention
- Publisher
- Elsevier BV
- Published
- 1996-11
- Volume
- 28
- Issue
- 6
- Pages
- 739-753
- ISSN
- 0001-4575 (ISSN-L)
- OpenAlex
- W2056381265
- Cited by
- 364
- References
- 22
- FWCI
- 27.18
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice. https://app.cochat.ai/papers/10.1016/s0001-4575(96)00050-4
- The paper
- O'Donnell, C. J., & Connor, D. H. (1996). Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice. Accident Analysis & Prevention. https://doi.org/10.1016/s0001-4575(96)00050-4
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.
