Using a flexible multivariate latent class approach to model correlated outcomes: A joint analysis of pedestrian and cyclist injuries

Analytic Methods in Accident Research

Volumn 13, Issue , 2017, Pages 16-27

  Heydari, Shahram ^a   Fu, Liping ^a,b   Miranda Moreno, Luis F ^c   Joseph, Lawrence ^c,d  

^a UNIVERSITY OF WATERLOO   (Canada)

^b WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^c MCGILL UNIVERSITY   (Canada)

^d MCGILL UNIVERSITY HEALTH CENTRE   (Canada)

Author keywords

Correlated outcomes; Dependence structure; Latent class modeling; Mixture of multivariate normal densities; Multivariate modeling; Pedestrian cyclist safety

Indexed keywords

DECISION MAKING; MIXTURES; ROADS AND STREETS;

CORRELATED OUTCOMES; DEPENDENCE STRUCTURES; LATENT CLASS MODEL; MULTIVARIATE MODELING; MULTIVARIATE NORMAL;

PEDESTRIAN SAFETY;

EID: 85006967172     PISSN: 22136657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amar.2016.12.002     Document Type: Article

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