换一批
换一批Investigating risk factors associated with injury severity in highway crashes: A hybrid approach integrating two-step cluster analysis and latent class ordered regression model with covariates.
第一作者：
Siliang,Luan
第一单位：
School of Civil Engineering, Qingdao University of Technology, Qingdao 266520, China; Engineering Research Center of Concrete Technology under Marine Environment, Ministry of Education, Qingdao 266520, China. Electronic address: luansiliang@126.com.
作者：
主题词
人类(Humans);事故, 交通(Accidents, Traffic);聚类分析(Cluster Analysis);男(雄)性(Male);危险因素(Risk Factors);女(雌)性(Female);中年人(Middle Aged);成年人(Adult);横断面研究(Cross-Sectional Studies);创伤和损伤(Wounds and Injuries);老年人(Aged);荷兰(Netherlands);回归分析(Regression Analysis);青年人(Young Adult);天气(Weather);青少年(Adolescent);年龄因素(Age Factors);采光(Lighting);创伤严重度指数(Trauma Severity Indices);损伤严重度评分(Injury Severity Score)
DOI
10.1016/j.aap.2024.107805
PMID
39368315
发布时间
2024-11-03
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