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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

336 related articles for article (PubMed ID: 34371287)

  • 41. Using SHRP2 naturalistic driving data to examine driver speeding behavior.
    Richard CM; Lee J; Atkins R; Brown JL
    J Safety Res; 2020 Jun; 73():271-281. PubMed ID: 32563403
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Crash risk perception of sleepy driving and its comparisons with drink driving and speeding: Which behavior is perceived as the riskiest?
    Watling CN; Armstrong KA; Smith SS; Obst PL
    Traffic Inj Prev; 2016 May; 17(4):400-5. PubMed ID: 26508332
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Assessing Willingness to Engage in Risky Driving Behaviour Using Naturalistic Driving Footage: The Role of Age and Gender.
    Ventsislavova P; Crundall D; Garcia-Fernandez P; Castro C
    Int J Environ Res Public Health; 2021 Sep; 18(19):. PubMed ID: 34639528
    [TBL] [Abstract][Full Text] [Related]  

  • 44. A qualitative study of perception related to risky driving behavior in Debre Markos City, North West Ethiopia, 2021.
    Mazengia EM; Kassie A; Zewdie A; Demissie GD
    BMC Public Health; 2023 May; 23(1):977. PubMed ID: 37237352
    [TBL] [Abstract][Full Text] [Related]  

  • 45. An exploration of the role of driving experience on self-reported and real-world aberrant driving behaviors.
    Sheykhfard A; Qin X; Shaaban K; Koppel S
    Accid Anal Prev; 2022 Dec; 178():106873. PubMed ID: 36306720
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Risky behavior analysis for cross-border drivers: A logit model and qualitative comparative analysis of odds of fault and injury vulnerability in Guangdong, Hong Kong and Macau.
    Zhang G; Zhong Q; Tan Y; Yang Q
    J Safety Res; 2022 Sep; 82():417-429. PubMed ID: 36031272
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Selected State Policies and Associations With Alcohol Use Behaviors and Risky Driving Behaviors Among Youth: Findings from Monitoring the Future Study.
    Cavazos-Rehg PA; Housten AJ; Krauss MJ; Sowles SJ; Spitznagel EL; Chaloupka FJ; Grucza R; Johnston LD; O'Malley PM; Bierut LJ
    Alcohol Clin Exp Res; 2016 May; 40(5):1030-6. PubMed ID: 27018985
    [TBL] [Abstract][Full Text] [Related]  

  • 48. French drivers' behavior: Do psychological resources and vulnerabilities matter?
    Karras M; Delhomme P; Csillik A
    J Safety Res; 2022 Feb; 80():235-242. PubMed ID: 35249603
    [TBL] [Abstract][Full Text] [Related]  

  • 49. How did COVID-19 impact driving behaviors and crash Severity? A multigroup structural equation modeling.
    Dong X; Xie K; Yang H
    Accid Anal Prev; 2022 Jul; 172():106687. PubMed ID: 35500416
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Profiles of Risky Driving Behaviors in Adolescent Drivers: A Cluster Analysis of a Representative Sample from Tuscany Region (Italy).
    Lastrucci V; Innocenti F; Lorini C; Berti A; Silvestri C; Lazzeretti M; Voller F; Bonaccorsi G
    Int J Environ Res Public Health; 2021 Jun; 18(12):. PubMed ID: 34208307
    [TBL] [Abstract][Full Text] [Related]  

  • 51. The effects of anti-speeding advertisements on the simulated driving behaviour of young drivers.
    Plant BR; Irwin JD; Chekaluk E
    Accid Anal Prev; 2017 Mar; 100():65-74. PubMed ID: 28119216
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Driver prototypes and behavioral willingness: Young driver risk perception and reported engagement in risky driving.
    Harbeck EL; Glendon AI
    J Safety Res; 2018 Sep; 66():195-204. PubMed ID: 30121106
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Speeding by young novice drivers: What can personal characteristics and psychosocial theory add to our understanding?
    Scott-Parker B; Hyde MK; Watson B; King MJ
    Accid Anal Prev; 2013 Jan; 50():242-50. PubMed ID: 22608268
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Self-reported speed compliance and attitudes towards speeding in a representative sample of drivers in Australia.
    Stephens AN; Nieuwesteeg M; Page-Smith J; Fitzharris M
    Accid Anal Prev; 2017 Jun; 103():56-64. PubMed ID: 28384489
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Assessing the relationship between self-reported driving behaviors and driver risk using a naturalistic driving study.
    Wang X; Xu X
    Accid Anal Prev; 2019 Jul; 128():8-16. PubMed ID: 30954785
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Speeding through the pandemic: Perceptual and psychological factors associated with speeding during the COVID-19 stay-at-home period.
    Tucker A; Marsh KL
    Accid Anal Prev; 2021 Sep; 159():106225. PubMed ID: 34130056
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Characterizing driver speeding behavior when using partial-automation in real-world driving.
    Haus SH; Gershon P; Mehler B; Reimer B
    Traffic Inj Prev; 2022; 23(sup1):S167-S173. PubMed ID: 35819805
    [No Abstract]   [Full Text] [Related]  

  • 58. The relationship between self-reported ability emotional intelligence and risky driving behaviour: Consequences for accident and traffic ticket rate.
    Megías-Robles A; Sánchez-López MT; Fernández-Berrocal P
    Accid Anal Prev; 2022 Sep; 174():106760. PubMed ID: 35792476
    [TBL] [Abstract][Full Text] [Related]  

  • 59. The epidemiology of road traffic accidents and associated factors among drivers in Dilla Town, Southern Ethiopia.
    Hareru HE; Negassa B; Kassa Abebe R; Ashenafi E; Zenebe GA; Debela BG; Ashuro Z; Eshete Soboksa N
    Front Public Health; 2022; 10():1007308. PubMed ID: 36438205
    [TBL] [Abstract][Full Text] [Related]  

  • 60. The connection between risky driving and involvement in fatal accidents.
    Rajalin S
    Accid Anal Prev; 1994 Oct; 26(5):555-62. PubMed ID: 7999200
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.