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.
172 related articles for article (PubMed ID: 36599214)
1. Learning about injury severity from no-injury crashes: A random parameters with heterogeneity in means and variances approach. Adanu EK; Powell L; Jones S; Smith R Accid Anal Prev; 2023 Mar; 181():106952. PubMed ID: 36599214 [TBL] [Abstract][Full Text] [Related]
2. Unraveling the differences in distracted driving injury severities in passenger car, sport utility vehicle, pickup truck, and minivan crashes. Islam M Accid Anal Prev; 2024 Mar; 196():107444. PubMed ID: 38169183 [TBL] [Abstract][Full Text] [Related]
3. Modeling the temporal relationship between contributing factors and injury severities in rural single-vehicle alcohol-impaired driving crashes: Insights from random parameters logit models in the means and variances. Yan X; He J; Wu G; Zhang C; Liu Z; Wang C Traffic Inj Prev; 2022; 23(6):321-326. PubMed ID: 35639608 [TBL] [Abstract][Full Text] [Related]
4. A temporal analysis of crash injury severities in multivehicle crashes involving distracted and non-distracted driving on tollways. Xing L; Zhong S; Yan X; Wu W; Tang Y Accid Anal Prev; 2023 May; 184():107008. PubMed ID: 36827948 [TBL] [Abstract][Full Text] [Related]
5. Temporal analysis of cellphone-use-involved crash injury severities: Calling for preventing cellphone-use-involved distracted driving. Wu P; Song L; Meng X Accid Anal Prev; 2022 May; 169():106625. PubMed ID: 35272221 [TBL] [Abstract][Full Text] [Related]
6. Injury severity analysis of single-vehicle and two-vehicle crashes with electric scooters: A random parameters approach with heterogeneity in means and variances. Gao D; Zhang X Accid Anal Prev; 2024 Feb; 195():107408. PubMed ID: 38043213 [TBL] [Abstract][Full Text] [Related]
7. Severity analysis of single-vehicle left and right run-off-road crashes using a random parameter ordered logit model. Okafor S; Adanu EK; Lidbe A; Jones S Traffic Inj Prev; 2023; 24(3):251-255. PubMed ID: 36755397 [TBL] [Abstract][Full Text] [Related]
8. Crash severity along rural mountainous highways in Malaysia: An application of a combined decision tree and logistic regression model. Rusli R; Haque MM; Saifuzzaman M; King M Traffic Inj Prev; 2018; 19(7):741-748. PubMed ID: 29932734 [TBL] [Abstract][Full Text] [Related]
9. An empirical analysis of driver injury severities in work-zone and non-work-zone crashes involving single-vehicle large trucks. Islam M Traffic Inj Prev; 2022; 23(7):398-403. PubMed ID: 35896030 [TBL] [Abstract][Full Text] [Related]
10. Modeling single-vehicle run-off-road crash severity in rural areas: Accounting for unobserved heterogeneity and age difference. Gong L; Fan WD Accid Anal Prev; 2017 Apr; 101():124-134. PubMed ID: 28226253 [TBL] [Abstract][Full Text] [Related]
11. Exploring spatial heterogeneity in factors associated with injury severity in speeding-related crashes: An integrated machine learning and spatial modeling approach. Zhang Z; Xu N; Liu J; Jones S Accid Anal Prev; 2024 Oct; 206():107697. PubMed ID: 38968864 [TBL] [Abstract][Full Text] [Related]
12. Latent class analysis of factors that influence weekday and weekend single-vehicle crash severities. Adanu EK; Hainen A; Jones S Accid Anal Prev; 2018 Apr; 113():187-192. PubMed ID: 29426023 [TBL] [Abstract][Full Text] [Related]
13. An analysis of single-vehicle truck crashes on rural curved segments accounting for unobserved heterogeneity. Islam M; Hosseini P; Jalayer M J Safety Res; 2022 Feb; 80():148-159. PubMed ID: 35249596 [TBL] [Abstract][Full Text] [Related]
14. Modelling injury severity in single-vehicle crashes using full Bayesian random parameters multinomial approach. Cai Z; Wei F Accid Anal Prev; 2023 Apr; 183():106983. PubMed ID: 36696745 [TBL] [Abstract][Full Text] [Related]
15. Ordered logistic models of influencing factors on crash injury severity of single and multiple-vehicle downgrade crashes: A case study in Wyoming. Rezapour M; Moomen M; Ksaibati K J Safety Res; 2019 Feb; 68():107-118. PubMed ID: 30876502 [TBL] [Abstract][Full Text] [Related]
17. Examining driver injury severity outcomes in rural non-interstate roadway crashes using a hierarchical ordered logit model. Chen C; Zhang G; Huang H; Wang J; Tarefder RA Accid Anal Prev; 2016 Nov; 96():79-87. PubMed ID: 27505099 [TBL] [Abstract][Full Text] [Related]
18. Injury-severity analysis of intercity bus crashes in Ghana: A random parameters multinomial logit with heterogeneity in means and variances approach. Damsere-Derry J; Adanu EK; Ojo TK; Sam EF Accid Anal Prev; 2021 Sep; 160():106323. PubMed ID: 34380083 [TBL] [Abstract][Full Text] [Related]
19. Exploring the factors contribute to the injury severities of vulnerable roadway user involved crashes. Dong C; Khattak AJ; Shao C; Xie K Int J Inj Contr Saf Promot; 2019 Sep; 26(3):302-314. PubMed ID: 31169068 [TBL] [Abstract][Full Text] [Related]
20. Injury severity of single-vehicle large-truck crashes: accounting for heterogeneity. Sarker MAA; Rahimi A; Azimi G; Jin X Int J Inj Contr Saf Promot; 2023 Dec; 30(4):571-581. PubMed ID: 37498113 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]