Bayesian Multivariate Poisson Lognormal Models for Crash Severity Modeling and Site Ranking
By Jonathan Aguero-Valverde, Paul P. Jovanis. 2009
160 citations recorded by the source corpus.
Subfields: Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/71597ef436629a2e4a48f22abd07bb24b7f7e0d0
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In Public Health, Environmental and Occupational Health
In Pulmonary and Respiratory Medicine
- D. Lord
- Anuj Sharma
- Mo Zhao
- Fred L. Mannering
- Mohammed A. Quddus
- Wei Li
- Peter T. Savolainen
- Chenhui Liu
In Safety, Risk, Reliability and Quality
- Fred L. Mannering
- D. Lord
- Chenhui Liu
- Anuj Sharma
- Mo Zhao
- Wei Li
- Mohammed A. Quddus
- Peter T. Savolainen
Citations in the corpus
- Multivariate random parameters zero-inflated negative binomial regression for analyzing urban midblock crashes (2018, methodology): “…count data models in literature were derived from the multivariate Poisson log-normal (MVPLN) model (Ma et al., 2008; El-Basyouny and Sayed, 2009; Aguero-Valverde and Jovanis, 2010; Barua et al., 2014; Zhan et al., 2015; Serhiyenko et al., 2016; Huang et al., 2017; Osama and Sayed, 2017; Zhao et…”
- The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. (2011, background): “…each crash (or crash-involved individual) has an 1 A number of recent research studies have sought to jointly model the frequency and injury-severity of crashes (see for example Ma and Kockelman, 2006; Park and Lord, 2007; Ma et al., 2008; El-Basyouny and Sayed, 2009; Agüero and Jovanis, 2010).”