Research graph
References from Selection bias in post-encroachment time conflict severity modeling using a full information maximum likelihood framework. Local targets link to admitted publications; unresolved targets remain external evidence.
A Bayesian generalised extreme value model to estimate real-time pedestrian crash risks at signalised intersections using artificial intelligence-based video analytics
10.1016/j.amar.2022.100264 · 2023 · External reference
Evaluating the safety of autonomous vehicle–pedestrian interactions: an extreme value theory approach
10.1016/j.amar.2022.100230 · 2022 · External reference
Unresolved reference
2018 · External reference
A systematic review of traffic conflict-based safety measures with a focus on application context
10.1016/j.amar.2021.100185 · 2021 · External reference
Unresolved reference
2022 · External reference
10.1017/cbo9780511811241
10.1017/cbo9780511811241 · 2005 · External reference
Exploring pedestrian surrogate safety measures by road geometry at midblock crosswalks: a perspective under mixed traffic conditions
10.1016/j.iatssr.2020.06.001 · 2021 · External reference
Unresolved reference
2020 · External reference
Estimation of ordered response models with sample selection
10.1177/1536867x1101100204 · 2011 · External reference
A joint econometric analysis of seat belt use and crash-related injury severity
10.1016/j.aap.2007.02.001 · 2007 · External reference
Bayesian dynamic extreme value modeling for conflict-based real-time safety analysis
10.1016/j.amar.2021.100204 · 2022 · External reference
Multivariate bayesian hierarchical modeling of the non-stationary traffic conflict extremes for crash estimation
10.1016/j.amar.2020.100135 · 2020 · External reference
Surrogate safety measures from traffic simulation models
10.3141/1840-12 · 2003 · External reference
Sample selection bias as a specification error
10.2307/1912352 · 1979 · External reference
Unresolved reference
External reference
Estimating crash risk and injury severity considering multiple traffic conflict and crash types: a bivariate extreme value approach
10.1016/j.amar.2024.100331 · 2024 · External reference
Evidence of sample selectivity in highway injury-severity models: the case of risky driving during COVID-19
10.1016/j.amar.2022.100263 · 2023 · External reference
A note on identification in the multinomial probit model
10.2307/1391677 · 1992 · External reference
Identification and estimation of models with selectivity
1985 · External reference
Discrete/Continuous econometric models and their application to transport analysis
10.1080/01441648708716657 · 1987 · External reference
Temporal instability and the analysis of highway accident data
10.1016/j.amar.2017.10.002 · 2018 · External reference
Big data, traditional data and the tradeoffs between prediction and causality in highway-safety analysis
10.1016/j.amar.2020.100113 · 2020 · External reference
Identification of binary response models
10.1080/01621459.1988.10478655 · 1988 · External reference
On the cost of partial observability in the bivariate probit model
10.2307/2526528 · 1985 · External reference
Effects of sample size on pedestrian crash risk estimation from traffic conflicts using extreme value models
10.1016/j.amar.2024.100353 · 2024 · External reference
A cross-comparison of different extreme value modeling techniques for traffic conflict-based crash risk estimation
10.1016/j.amar.2024.100352 · 2024 · External reference
Unresolved reference
2011 · External reference
Evaluation of post encroachment time as surrogate for opposing left-turn crashes
10.3141/2386-06 · 2013 · External reference
Gender, race, pay and promotion in the British nursing profession: estimation of a generalized ordered probit model
10.1002/1099-1255(200007/08)15:4<367::aid-jae563>3.0.co;2-z · 2000 · External reference
Automated vehicles at unsignalized intersections: Safety and efficiency implications of mixed human and automated traffic
10.1177/03611981251370343 · 2026 · External reference
Do traffic countermeasures improve the safety of vulnerable road users at signalized intersections? a combination of case-control and cross-sectional studies using video-based traffic conflicts
10.1177/03611981231172748 · 2024 · External reference
Selection Bias and Heterogeneity in Severity Models: Some Insights from an Interstate Analysis
2013 · External reference
Unresolved reference
2012 · External reference
Examining the effects of sight distance, road conditions, and weather on intersection crash severity: a random parameters logit approach with heterogeneity in means and variances
10.3390/safety11040117 · 2025 · External reference
Ordinal probit modeling of injury severity risks at visually obstructed intersections with bootstrap validation
10.3390/modelling7030097 · 2026 · External reference
Transferability analysis of heterogeneous overdispersion parameter negative binomial crash models
10.3141/2583-13 · 2016 · External reference
A nonlinear mixed logit model of occupant severity in autonomous vehicle crashes
10.1016/j.amar.2024.100348 · 2024 · External reference
10.1201/9780429244018
10.1201/9780429244018 · 2020 · External reference
Endogeneity bias in marketing research: problem, causes and remedies
10.1016/j.indmarman.2017.05.006 · 2017 · External reference
From univariate to bivariate extreme value models: approaches to integrate traffic conflict indicators for crash estimation
10.1016/j.trc.2019.04.015 · 2019 · External reference
A bivariate Bayesian hierarchical extreme value model for traffic conflict-based crash estimation
10.1016/j.amar.2020.100111 · 2020 · External reference
Validating the bivariate extreme value modeling approach for road safety estimation with different traffic conflict indicators
10.1016/j.aap.2018.12.007 · 2019 · External reference
Modeling traffic conflicts for use in road safety analysis: a review of analytic methods and future directions
10.1016/j.amar.2020.100142 · 2021 · External reference
