The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: Some empirical evidence

[1]  Jasmine Pahukula,et al.  A time of day analysis of crashes involving large trucks in urban areas. , 2015, Accident; analysis and prevention.

[2]  Fred L. Mannering,et al.  Latent Class Analysis of the Effects of Age, Gender, and Alcohol Consumption on Driver-Injury Severities , 2014 .

[3]  Fred L. Mannering,et al.  The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity , 2014 .

[4]  Konstantina Gkritza,et al.  A latent class analysis of single-vehicle motorcycle crash severity outcomes , 2014 .

[5]  Gudmundur F. Ulfarsson,et al.  Extending the Highway Safety Manual (HSM) Framework for Traffic Safety Performance Evaluation , 2014 .

[6]  Hung-Chieh Lo,et al.  Does Alcohol Intoxication Protect Patients from Severe Injury and Reduce Hospital Mortality? The Association of Alcohol Consumption with the Severity of Injury and Survival in Trauma Patients , 2013, The American surgeon.

[7]  Konstantina Gkritza,et al.  A mixed logit analysis of two-vehicle crash severities involving a motorcycle. , 2013, Accident; analysis and prevention.

[8]  Gudmundur F. Ulfarsson,et al.  Random parameter models of interstate crash frequencies by severity, number of vehicles involved, collision and location type. , 2013, Accident; analysis and prevention.

[9]  Fred L. Mannering,et al.  The heterogeneous effects of guardian supervision on adolescent driver-injury severities: A finite-mixture random-parameters approach , 2013 .

[10]  F. Mannering,et al.  The effects of road-surface conditions, age, and gender on driver-injury severities. , 2011, Accident; analysis and prevention.

[11]  Dominique Lord,et al.  The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. , 2011, Accident; analysis and prevention.

[12]  Fred L Mannering,et al.  An empirical assessment of fixed and random parameter logit models using crash- and non-crash-specific injury data. , 2011, Accident; analysis and prevention.

[13]  Peter T. Savolainen,et al.  Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and non-intersection locations. , 2011, Accident; analysis and prevention.

[14]  S. Washington,et al.  Statistical and Econometric Methods for Transportation Data Analysis , 2010 .

[15]  Ali Salim,et al.  Positive serum ethanol level and mortality in moderate to severe traumatic brain injury. , 2009, Archives of surgery.

[16]  Nataliya V Malyshkina,et al.  Markov switching multinomial logit model: An application to accident-injury severities. , 2008, Accident; analysis and prevention.

[17]  Andrew P Tarko,et al.  Markov switching negative binomial models: an application to vehicle accident frequencies. , 2008, Accident; analysis and prevention.

[18]  D. Hensher,et al.  A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes. , 2008, Accident; analysis and prevention.

[19]  Fred L. Mannering,et al.  Effect of Increases in Speed Limits on Severities of Injuries in Accidents , 2008 .

[20]  Fred Mannering,et al.  An exploration of the offset hypothesis using disaggregate data: The case of airbags and antilock brakes , 2006 .

[21]  F. Mannering,et al.  Differences in rural and urban driver-injury severities in accidents involving large-trucks: an exploratory analysis. , 2005, Accident; analysis and prevention.

[22]  Gudmundur F. Ulfarsson,et al.  Differences in male and female injury severities in sport-utility vehicle, minivan, pickup and passenger car accidents. , 2004, Accident; analysis and prevention.

[23]  C. Bhat Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences , 2003 .

[24]  C. Ruhm,et al.  Are Recessions Good for Your Health? , 1996 .

[25]  D. McFadden,et al.  ESTIMATION BY SIMULATION , 1994 .

[26]  J. Geweke,et al.  Alternative computational approaches to inference in the multinomial probit model , 1994 .

[27]  Chandra R. Bhat,et al.  Analytic methods in accident research: Methodological frontier and future directions , 2014 .

[28]  Dominique Lord,et al.  Comparing Three Commonly Used Crash Severity Models on Sample Size Requirements: Multinomial Logit, Ordered Probit, and Mixed Logit Models , 2014 .

[29]  Chandra R. Bhat,et al.  A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity , 2014 .

[30]  Gudmundur F. Ulfarsson,et al.  Driver-injury severity in single-vehicle crashes in California: A mixed logit analysis of heterogeneity due to age and gender. , 2013, Accident; analysis and prevention.

[31]  Fred L Mannering,et al.  Highway accident severities and the mixed logit model: an exploratory empirical analysis. , 2008, Accident; analysis and prevention.

[32]  F. Mannering,et al.  Driver aging and its effect on male and female single-vehicle accident injuries: some additional evidence. , 2006, Journal of safety research.

[33]  K. Train Discrete Choice Methods with Simulation by Kenneth E. Train , 2003 .