FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2564863421> ?p ?o ?g. }

• W2564863421 endingPage "27" @default.
• W2564863421 startingPage "16" @default.
• W2564863421 abstract "Several recent transportation safety studies have indicated the importance of accounting for correlated outcomes, for example, among different crash types, including differing injury-severity levels. In this paper, we discuss inference for such data by introducing a flexible Bayesian multivariate model. In particular, we use a Dirichlet process mixture to keep the dependence structure unconstrained, relaxing the usual homogeneity assumptions. The resulting model collapses into a latent class multivariate model that is in the form of a flexible mixture of multivariate normal densities for which the number of mixtures (latent components) not only can be large but also can be inferred from the data as part of the analysis. Therefore, besides accounting for correlation among crash types through a heterogeneous correlation structure, the proposed model helps address unobserved heterogeneity through its latent class component. To our knowledge, this is the first study to propose and apply such a model in the transportation literature. We use the model to investigate the effects of various factors such as built environment characteristics on pedestrian and cyclist injury counts at signalized intersections in Montreal, modeling both outcomes simultaneously. We demonstrate that the homogeneity assumption of the standard multivariate model does not hold for the dataset used in this study. Consequently, we show how such a spurious assumption affects predictive performance of the model and the interpretation of the variables based on marginal effects. Our flexible model better captures the underlying complex structure of the correlated data, resulting in a more accurate model that contributes to a better understanding of safety correlates of non-motorist road users. This in turn helps decision-makers in selecting more appropriate countermeasures targeting vulnerable road users, promoting the mobility and safety of active modes of transportation." @default.
• W2564863421 created "2017-01-06" @default.
• W2564863421 creator A5016467532 @default.
• W2564863421 creator A5023211438 @default.
• W2564863421 creator A5040521870 @default.
• W2564863421 creator A5076568601 @default.
• W2564863421 date "2017-03-01" @default.
• W2564863421 modified "2023-09-26" @default.
• W2564863421 title "Using a flexible multivariate latent class approach to model correlated outcomes: A joint analysis of pedestrian and cyclist injuries" @default.
• W2564863421 cites W1253406441 @default.
• W2564863421 cites W1517555081 @default.
• W2564863421 cites W1963495107 @default.
• W2564863421 cites W1963921144 @default.
• W2564863421 cites W1964049816 @default.
• W2564863421 cites W1964512993 @default.
• W2564863421 cites W1966822777 @default.
• W2564863421 cites W1967687583 @default.
• W2564863421 cites W1977533716 @default.
• W2564863421 cites W1978353383 @default.
• W2564863421 cites W1980399291 @default.
• W2564863421 cites W1985766155 @default.
• W2564863421 cites W1988435012 @default.
• W2564863421 cites W1993204132 @default.
• W2564863421 cites W1993776349 @default.
• W2564863421 cites W1994899332 @default.
• W2564863421 cites W2005544339 @default.
• W2564863421 cites W2008741691 @default.
• W2564863421 cites W2011416738 @default.
• W2564863421 cites W2013941261 @default.
• W2564863421 cites W2018127194 @default.
• W2564863421 cites W2020399458 @default.
• W2564863421 cites W2020708932 @default.
• W2564863421 cites W2029807096 @default.
• W2564863421 cites W2030953141 @default.
• W2564863421 cites W2034306099 @default.
• W2564863421 cites W2034938024 @default.
• W2564863421 cites W2036197159 @default.
• W2564863421 cites W2036619968 @default.
• W2564863421 cites W2037691914 @default.
• W2564863421 cites W2047054386 @default.
• W2564863421 cites W2050777495 @default.
• W2564863421 cites W2051637830 @default.
• W2564863421 cites W2051969679 @default.
• W2564863421 cites W2053415760 @default.
• W2564863421 cites W2054217578 @default.
• W2564863421 cites W2057702420 @default.
• W2564863421 cites W2061156878 @default.
• W2564863421 cites W2067353226 @default.
• W2564863421 cites W2071002535 @default.
• W2564863421 cites W2071785132 @default.
• W2564863421 cites W2071983892 @default.
• W2564863421 cites W2072169887 @default.
• W2564863421 cites W2073618340 @default.
• W2564863421 cites W2076978163 @default.
• W2564863421 cites W2082623688 @default.
• W2564863421 cites W2090394408 @default.
• W2564863421 cites W2099304856 @default.
• W2564863421 cites W2106675691 @default.
• W2564863421 cites W2108868276 @default.
• W2564863421 cites W2109704069 @default.
• W2564863421 cites W2112120526 @default.
• W2564863421 cites W2115870554 @default.
• W2564863421 cites W2119755537 @default.
• W2564863421 cites W2124953793 @default.
• W2564863421 cites W2125988282 @default.
• W2564863421 cites W2136999619 @default.
• W2564863421 cites W2145590366 @default.
• W2564863421 cites W2148534890 @default.
• W2564863421 cites W2148619402 @default.
• W2564863421 cites W2152046803 @default.
• W2564863421 cites W2156952342 @default.
• W2564863421 cites W2161309151 @default.
• W2564863421 cites W2162021827 @default.
• W2564863421 cites W2164133872 @default.
• W2564863421 cites W2166023599 @default.
• W2564863421 cites W2170414066 @default.
• W2564863421 cites W2190230032 @default.
• W2564863421 cites W2196807682 @default.
• W2564863421 cites W2208233249 @default.
• W2564863421 cites W2213538420 @default.
• W2564863421 cites W2248917425 @default.
• W2564863421 cites W2287543214 @default.
• W2564863421 cites W2297030303 @default.
• W2564863421 cites W2326119565 @default.
• W2564863421 cites W2343811890 @default.
• W2564863421 cites W2407513725 @default.
• W2564863421 cites W2462453067 @default.
• W2564863421 cites W2462501661 @default.
• W2564863421 cites W2464847497 @default.
• W2564863421 cites W2496157789 @default.
• W2564863421 cites W2500872098 @default.
• W2564863421 cites W2507427216 @default.
• W2564863421 cites W2527675498 @default.
• W2564863421 cites W4211177544 @default.
• W2564863421 doi "https://doi.org/10.1016/j.amar.2016.12.002" @default.
• W2564863421 hasPublicationYear "2017" @default.
• W2564863421 type Work @default.
• W2564863421 sameAs 2564863421 @default.

• next