2010
DOI: 10.1016/j.aap.2009.12.026
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A fully Bayesian multivariate approach to before–after safety evaluation

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Cited by 85 publications
(41 citation statements)
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“…The notable difference between the EB and the univariate FB approaches was that the estimates of the effects had much lower standard deviations for the FB approach, indicating that the precision of the estimates was much higher for the FB approach. This finding aligns with previous research findings by Lan et al (2009) andPersaud et al (2010), but contradicts the findings of Park et al (2010). Moreover, while only severe crash reduction in the EB method was statistically significant at a 95% confidence level, all the reductions in the univariate FB method were statistically significant.…”
Section: Evaluation Resultssupporting
confidence: 47%
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“…The notable difference between the EB and the univariate FB approaches was that the estimates of the effects had much lower standard deviations for the FB approach, indicating that the precision of the estimates was much higher for the FB approach. This finding aligns with previous research findings by Lan et al (2009) andPersaud et al (2010), but contradicts the findings of Park et al (2010). Moreover, while only severe crash reduction in the EB method was statistically significant at a 95% confidence level, all the reductions in the univariate FB method were statistically significant.…”
Section: Evaluation Resultssupporting
confidence: 47%
“…In terms of the deviance information criterion (DIC), authors found that the multivariate Poisson-lognormal (MVPLN) model provided a superior fit over the univariate PLN model, which is in line with earlier research on multivariate analysis (Aguero-Valverde and Jovanis, 2009;El-Basyouny and Sayed, 2009a;Park and Lord, 2007). It is worth noting that the model form used by Park et al (2010) is different from the one used by Lan et al (2009) andPersaud et al (2010). Lan and Persaud (2012) used the univariate and multivariate FB methods to evaluate a hypothetical case.…”
Section: Introductionsupporting
confidence: 53%
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