Hierarchical Bayesian random intercept model-based cross-level interaction decomposition for truck driver injury severity investigations

Accident Analysis and Prevention

Volumn 85, Issue , 2015, Pages 186-198

  Chen, Cong ^a   Zhang, Guohui ^a   Tian, Zong ^b   Bogus, Susan M ^a   Yang, Yin ^a  

^a MSC01 1070   (United States)

^b Reno   (United States)

Author keywords

Bayesian inference; Cross level interaction; Random intercept model; Traffic safety; Truck driver injury; Unobserved heterogeneity

Indexed keywords

ACCIDENTS; BAYESIAN NETWORKS; CRASHWORTHINESS; DECOMPOSITION; INFERENCE ENGINES; TRUCK DRIVERS; VEHICLES;

BAYESIAN INFERENCE; CROSS LEVELS; DRIVER INJURY; TRAFFIC SAFETY; UNOBSERVED HETEROGENEITY;

TRUCKS;

ADULT; AGED; BAYES THEOREM; COMPARATIVE STUDY; FEMALE; HUMAN; MALE; MIDDLE AGED; MOTOR VEHICLE; NEW MEXICO; RURAL POPULATION; SEATBELT; SEVERITY OF ILLNESS INDEX; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT; URBAN POPULATION; UTILIZATION; YOUNG ADULT;

ACCIDENTS, TRAFFIC; ADULT; AGED; BAYES THEOREM; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MOTOR VEHICLES; NEW MEXICO; RURAL POPULATION; SEAT BELTS; SEVERITY OF ILLNESS INDEX; URBAN POPULATION; YOUNG ADULT;

EID: 84943551785     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2015.09.005     Document Type: Article

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