These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
280 related articles for article (PubMed ID: 24531115)
1. Applying quantile regression for modeling equivalent property damage only crashes to identify accident blackspots. Washington S; Haque MM; Oh J; Lee D Accid Anal Prev; 2014 May; 66():136-46. PubMed ID: 24531115 [TBL] [Abstract][Full Text] [Related]
2. A comparative analysis of hotspot identification methods. Montella A Accid Anal Prev; 2010 Mar; 42(2):571-81. PubMed ID: 20159081 [TBL] [Abstract][Full Text] [Related]
3. Investigating the effects of the fixed and varying dispersion parameters of Poisson-gamma models on empirical Bayes estimates. Lord D; Park PY Accid Anal Prev; 2008 Jul; 40(4):1441-57. PubMed ID: 18606278 [TBL] [Abstract][Full Text] [Related]
4. Exploring the effects of roadway characteristics on the frequency and severity of head-on crashes: case studies from Malaysian federal roads. Hosseinpour M; Yahaya AS; Sadullah AF Accid Anal Prev; 2014 Jan; 62():209-22. PubMed ID: 24172088 [TBL] [Abstract][Full Text] [Related]
5. Bayesian ranking of sites for engineering safety improvements: decision parameter, treatability concept, statistical criterion, and spatial dependence. Miaou SP; Song JJ Accid Anal Prev; 2005 Jul; 37(4):699-720. PubMed ID: 15949462 [TBL] [Abstract][Full Text] [Related]
6. Using hierarchical Bayesian binary probit models to analyze crash injury severity on high speed facilities with real-time traffic data. Yu R; Abdel-Aty M Accid Anal Prev; 2014 Jan; 62():161-7. PubMed ID: 24172082 [TBL] [Abstract][Full Text] [Related]
7. Macro-level vulnerable road users crash analysis: A Bayesian joint modeling approach of frequency and proportion. Cai Q; Abdel-Aty M; Lee J Accid Anal Prev; 2017 Oct; 107():11-19. PubMed ID: 28753415 [TBL] [Abstract][Full Text] [Related]
8. Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models. Kim DG; Lee Y; Washington S; Choi K Accid Anal Prev; 2007 Jan; 39(1):125-34. PubMed ID: 16925978 [TBL] [Abstract][Full Text] [Related]
9. A crash-prediction model for road tunnels. Caliendo C; De Guglielmo ML; Guida M Accid Anal Prev; 2013 Jun; 55():107-15. PubMed ID: 23523897 [TBL] [Abstract][Full Text] [Related]
10. Applying a joint model of crash count and crash severity to identify road segments with high risk of fatal and serious injury crashes. Afghari AP; Haque MM; Washington S Accid Anal Prev; 2020 Sep; 144():105615. PubMed ID: 32534289 [TBL] [Abstract][Full Text] [Related]
11. Case-control analysis in highway safety: Accounting for sites with multiple crashes. Gross F Accid Anal Prev; 2013 Dec; 61():87-96. PubMed ID: 22682970 [TBL] [Abstract][Full Text] [Related]
12. Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety. Khodadadi A; Tsapakis I; Shirazi M; Das S; Lord D Accid Anal Prev; 2022 Jun; 170():106638. PubMed ID: 35339878 [TBL] [Abstract][Full Text] [Related]
13. Multivariate random-parameters zero-inflated negative binomial regression model: an application to estimate crash frequencies at intersections. Dong C; Clarke DB; Yan X; Khattak A; Huang B Accid Anal Prev; 2014 Sep; 70():320-9. PubMed ID: 24841002 [TBL] [Abstract][Full Text] [Related]
14. Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory. Lord D; Washington SP; Ivan JN Accid Anal Prev; 2005 Jan; 37(1):35-46. PubMed ID: 15607273 [TBL] [Abstract][Full Text] [Related]
15. Road safety from the perspective of driver gender and age as related to the injury crash frequency and road scenario. Russo F; Biancardo SA; Dell'Acqua G Traffic Inj Prev; 2014; 15(1):25-33. PubMed ID: 24279963 [TBL] [Abstract][Full Text] [Related]
16. Application of Poisson random effect models for highway network screening. Jiang X; Abdel-Aty M; Alamili S Accid Anal Prev; 2014 Feb; 63():74-82. PubMed ID: 24269863 [TBL] [Abstract][Full Text] [Related]
17. Differences in passenger car and large truck involved crash frequencies at urban signalized intersections: an exploratory analysis. Dong C; Clarke DB; Richards SH; Huang B Accid Anal Prev; 2014 Jan; 62():87-94. PubMed ID: 24140813 [TBL] [Abstract][Full Text] [Related]
18. Random parameter models of interstate crash frequencies by severity, number of vehicles involved, collision and location type. Venkataraman N; Ulfarsson GF; Shankar VN Accid Anal Prev; 2013 Oct; 59():309-18. PubMed ID: 23850546 [TBL] [Abstract][Full Text] [Related]
19. Comparison of corridor-level fatal and injury crash models with site-level models for network screening purposes on Florida urban and suburban divided arterials. McCombs J; Al-Deek H; Sandt A Traffic Inj Prev; 2024; 25(2):210-218. PubMed ID: 38078886 [No Abstract] [Full Text] [Related]
20. Safety modeling of suburban arterials in Shanghai, China. Wang X; Song Y; Yu R; Schultz GG Accid Anal Prev; 2014 Sep; 70():215-24. PubMed ID: 24803169 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]