| The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives D Lord, F Mannering Transportation research part A: policy and practice 44 (5), 291-305, 2010 | 2427 | 2010 |
| The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives PT Savolainen, FL Mannering, D Lord, MA Quddus Accident Analysis & Prevention 43 (5), 1666-1676, 2011 | 1305 | 2011 |
| Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory D Lord, SP Washington, JN Ivan Accident Analysis & Prevention 37 (1), 35-46, 2005 | 1191 | 2005 |
| Modeling traffic crash-flow relationships for intersections: dispersion parameter, functional form, and Bayes versus empirical Bayes methods SP Miaou, D Lord Transportation Research Record 1840 (1), 31-40, 2003 | 528 | 2003 |
| Modeling motor vehicle crashes using Poisson-gamma models: Examining the effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter D Lord Accident Analysis & Prevention 38 (4), 751-766, 2006 | 521 | 2006 |
| Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models F Ye, D Lord Analytic methods in accident research 1, 72-85, 2014 | 485 | 2014 |
| Predicting motor vehicle crashes using support vector machine models X Li, D Lord, Y Zhang, Y Xie Accident Analysis & Prevention 40 (4), 1611-1618, 2008 | 447 | 2008 |
| Safety effect of roundabout conversions in the united states: Empirical bayes observational before-after study BN Persaud, RA Retting, PE Garder, D Lord Transportation Research Record 1751 (1), 1-8, 2001 | 430 | 2001 |
| Multivariate Poisson-lognormal models for jointly modeling crash frequency by severity ES Park, D Lord Transportation Research Record 2019 (1), 1-6, 2007 | 398 | 2007 |
| Accident prediction models with and without trend: application of the generalized estimating equations procedure D Lord, BN Persaud Transportation Research Record 1717 (1), 102-108, 2000 | 365 | 2000 |
| Further notes on the application of zero-inflated models in highway safety D Lord, S Washington, JN Ivan Accident Analysis & Prevention 39 (1), 53-57, 2007 | 355 | 2007 |
| Modeling crash-flow-density and crash-flow-V/C ratio relationships for rural and urban freeway segments D Lord, A Manar, A Vizioli Accident Analysis & Prevention 37 (1), 185-199, 2005 | 352 | 2005 |
| Predicting motor vehicle collisions using Bayesian neural network models: An empirical analysis Y Xie, D Lord, Y Zhang Accident Analysis & Prevention 39 (5), 922-933, 2007 | 344 | 2007 |
| Effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter of Poisson-gamma models for modeling motor vehicle crashes: A … D Lord, LF Miranda-Moreno Safety Science 46 (5), 751-770, 2008 | 320 | 2008 |
| Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes D Lord, SD Guikema, SR Geedipally Accident Analysis & Prevention 40 (3), 1123-1134, 2008 | 312 | 2008 |
| Application of finite mixture models for vehicle crash data analysis BJ Park, D Lord Accident Analysis & Prevention 41 (4), 683-691, 2009 | 235 | 2009 |
| The negative binomial-Lindley generalized linear model: Characteristics and application using crash data SR Geedipally, D Lord, SS Dhavala Accident Analysis & Prevention 45, 258-265, 2012 | 233 | 2012 |
| Crash and injury reduction following installation of roundabouts in the United States RA Retting, BN Persaud, PE Garder, D Lord American journal of public health 91 (4), 628, 2001 | 209 | 2001 |
| Extension of the application of Conway‐Maxwell‐Poisson models: Analyzing traffic crash data exhibiting underdispersion D Lord, SR Geedipally, SD Guikema Risk Analysis: An International Journal 30 (8), 1268-1276, 2010 | 194 | 2010 |
| Re-visiting crash–speed relationships: A new perspective in crash modelling MIM Imprialou, M Quddus, DE Pitfield, D Lord Accident Analysis & Prevention 86, 173-185, 2016 | 193 | 2016 |
