Bayesian Multivariate Poisson Regression for Models of Injury Count, by Severity

By Jianming Ma, Kara M. Kockelman. 2006

166 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/e51dc4078e2f8b7a8bd34321cd58a83610621796

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In Public Health, Environmental and Occupational Health

In Pulmonary and Respiratory Medicine

In Safety, Risk, Reliability and Quality

Citations in the corpus

Estimation and Inference for Generalized Geoadditive Models (2020, background): “When both crash types are considered, the multivariate models may be considered (Zhao et al. 2017; Ma and Kockelman 2006).”
Random parameters multivariate tobit and zero-inflated count data models: addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis (2016, methodology): “…Zero-Inflated Count Data Models 174 For the statistical analysis and modeling of accident injury-severity frequencies, multivariate count 175 data models are appropriate (Ma and Kockelman, 2006; El-Basyouny and Sayed, 2009, Anastasopoulos et 176 al., 2012b; Dong et al., 2014; Barua et al., 2014).”
Incorporating temporal correlation into a multivariate random parameters Tobit model for modeling crash rate by injury severity (2018, background): “Various multivariate count models have been developed to jointly analyze crash frequencies at different degrees of injury (Ma and Kockelman 2006; Song et al. 2006; Park and Lord 2007; Ma, Kockelman, and Damien 2008; El-Basyouny and Sayed 2009; Chiou and Fu 2013, 2015; Barua, El-Basyouny, and Islam…”
Safety impacts of pavement surface roughness at two-lane and multi-lane highways: accounting for heterogeneity and seemingly unrelated correlation across crash severities (2019, background): “…(through the use of random parameters) and also the correlation between the crash counts across the crash severity levels (Bijleveld 2005; Ma and Kockelman 2006; Song et al. 2006; Park and Lord 2007; Ma, Kockelman, and Damien 2008; Milton, Shankar, and Mannering 2008; Anastasopoulos and…”
Bayesian Multivariate Poisson Lognormal Models for Crash Severity Modeling and Site Ranking (2009, methodology): “Ma, J., K. M. Kockelman, and P. Damien.”