… this study constructs an extended hierarchical ordered probit model with heteroscedasticity
(… Additionally, overturned-crash, multi-vehicle-crash, and morning-crash variables induce …

… injury-severity outcomes. The data used in this study contained large truck rollover crashes
that occurred … A random parameter ordered logit (RPOL) model was applied. Various driver, …

… single-vehicle (SV) rollover crashes based on six-year crash data … ordered probit (REGOP)
model is employed in this study to analyze injury severity patterns caused by rollover crashes…

… , the current study uses the ordered probit model as it accounts … in vehicle and injury
severity for P2T crashes in this study. … Ordered probit and heteroskedastic ordered probit The …

… Investigating rear-end large truck crashes using an ordered probit model … study is comprised
of 10 years of large truck crashes in work zone. It is unknown to the authors how large truck …

… parameter bivariate probit model with heterogeneity in means 2 to simultaneously investigate
the injury severity of both parties involving truck-car crashes, using crash data obtained …

… the injury severity outcomes of single heavy vehicle crashes in … the injury severity of single
heavy vehicle crashes in Australia… -parameter ordered probit model is discussed in this study. …

… study used the heteroskedasticity ordinal logit (HORL) model … of driver injury and the severity
of vehicle collision in order to … In summary, the Logit model can be widely used in roadway …

… to the severity of injuries sustained in large truck crashes in work … ordered logit model was
found to be superior in this study (… and heteroskedastic ordered probit models for the analysis. …

… The authors also used a mixed logit model to study the large truck crash injury outcomes in
… , traffic flow, roadway geometric features, land use, time characteristics, weather and light …