| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 572870 | Accident Analysis & Prevention | 2011 | 11 Pages |
Abstract
⺠This paper provides a state-of-the-practice review of statistical methods for analyzing crash-injury severity data. ⺠Methodological issues germane to the analysis of injury severity data are discussed. ⺠Appropriate techniques for addressing these methodological issues are described. ⺠These techniques range from simple, binary outcome models to more sophisticated models allowing for heterogeneous effects and correlated error terms. ⺠Areas of opportunity for future research are highlighted based upon advances in computing and richer data sources.
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Authors
Peter T. Savolainen, Fred L. Mannering, Dominique Lord, Mohammed A. Quddus,