The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models
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Citations
Cites
Discrete Choice Methods with Simulation
Train, K. E. (2001) · doi:10.1017/cbo9780511805271 · Cited by 7,784
Discrete Choice Methods with Simulation
Train, K. E. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511753930 · Cited by 3,890
Statistical and Econometric Methods for Transportation Data Analysis
Washington, S. P., Karlaftis, M. G., & Mannering, F. (2003) · Chapman & Hall/CRC eBooks · doi:10.1201/9780203497111 · Cited by 1,901
Lord, D., & Mannering, F. (2010) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2010.02.001 · Cited by 1,759
Self-citationSavolainen, P. T., Mannering, F. L., Lord, D., & Quddus, M. A. (2011) · Accident Analysis & Prevention · doi:10.1016/j.aap.2011.03.025 · Cited by 1,003
Self-citationHighway accident severities and the mixed logit model: An exploratory empirical analysis
Milton, J. C., Shankar, V. N., & Mannering, F. L. (2008) · Accident Analysis & Prevention · doi:10.1016/j.aap.2007.06.006 · Cited by 845
Eluru, N., Bhat, C. R., & Hensher, D. A. (2008) · Accident Analysis & Prevention · doi:10.1016/j.aap.2007.11.010 · Cited by 625
Analysis of driver injury severity levels at multiple locations using ordered probit models
Abdel-Aty, M. (2003) · Journal of Safety Research · doi:10.1016/j.jsr.2003.05.009 · Cited by 564
Lord, D. (2006) · Accident Analysis & Prevention · doi:10.1016/j.aap.2006.02.001 · Cited by 384
Self-citationKhorashadi, A., Niemeier, D., Shankar, V., & Mannering, F. (2005) · Accident Analysis & Prevention · doi:10.1016/j.aap.2005.04.009 · Cited by 347
Cited by
Comparison of four statistical and machine learning methods for crash severity prediction
Iranitalab, A., & Khattak, A. (2017) · Accident Analysis & Prevention · doi:10.1016/j.aap.2017.08.008 · Cited by 470
Anastasopoulos, P. C., & Mannering, F. L. (2011) · Accident Analysis & Prevention · doi:10.1016/j.aap.2010.12.024 · Cited by 349
Metadata
- Authors
- Ye, F., & Lord, D.
- Venue
- Analytic Methods in Accident Research
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 1
- Pages
- 72-85
- ISSN
- 2213-6657 (ISSN-L)
- OpenAlex
- W2012838480
- Cited by
- 377
- References
- 14
- FWCI
- 45.06
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models. https://app.cochat.ai/papers/10.1016/j.amar.2013.03.001
- The paper
- Ye, F., & Lord, D. (2014). Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models. Analytic Methods in Accident Research. https://doi.org/10.1016/j.amar.2013.03.001
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.
