Using a flexible multivariate latent class approach to model correlated outcomes: A joint analysis of pedestrian and cyclist injuries-Reference-Cited by-同舟云学术

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

Published:2017-03 Issue: Volume:13 Page:16-27
ISSN:2213-6657
Container-title:Analytic Methods in Accident Research
language:en
Short-container-title:Analytic Methods in Accident Research

Author:

Heydari Shahram,Fu Liping,Miranda-Moreno Luis F.,Jopseph Lawrence

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Safety Research,Transportation

Reference99 articles.

1. Bayesian multivariate Poisson lognormal models for crash severity modeling and site ranking;Aguero-Valverde;Transportation Research Record,2009

2. Cycling near misses: their frequency, impact, and prevention;Aldred;Transportation Research Part A,2016

3. Macroscopic modeling of pedestrian and bicycle crashes: a cross-comparison of estimation methods;Amoh-Gyimah;Accident Analysis and Prevention,2016

4. A note on modeling vehicle accident frequencies with random-parameters count models;Anastasopoulos;Accident Analysis and Prevention,2009

5. Random parameters multivariate tobit and zero-inflated count data models: addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis;Anastasopoulos;Analytical Methods in Accident Research,2016

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