BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 32614872)

  • 1. Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling.
    Shaaban K; Gaweesh S; Ahmed MM
    PLoS One; 2020; 15(7):e0235325. PubMed ID: 32614872
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessing the determinants of crash propensity using structural equation modeling: Role of distractions caused by fellow drivers.
    Zafar S; Abdullah M; Javid MA; Ali N
    J Safety Res; 2024 Jun; 89():210-223. PubMed ID: 38858045
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Drivers with child passengers: distracted but cautious?
    Maasalo I; Lehtonen E; Summala H
    Accid Anal Prev; 2019 Oct; 131():25-32. PubMed ID: 31233993
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Analysis of naturalistic driving videos of fleet services drivers to estimate driver error and potentially distracting behaviors as risk factors for rear-end versus angle crashes.
    Harland KK; Carney C; McGehee D
    Traffic Inj Prev; 2016 Jul; 17(5):465-71. PubMed ID: 26760293
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using event-triggered naturalistic data to examine the prevalence of teen driver distractions in rear-end crashes.
    Carney C; Harland KK; McGehee DV
    J Safety Res; 2016 Jun; 57():47-52. PubMed ID: 27178079
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Distracting behaviors among teenagers and young, middle-aged, and older adult drivers when driving without and with warnings from an integrated vehicle safety system.
    Kidd DG; Buonarosa ML
    J Safety Res; 2017 Jun; 61():177-185. PubMed ID: 28454863
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Driver distraction and inattention in fatal and injury crashes: Findings from in-depth road crash data.
    Wundersitz L
    Traffic Inj Prev; 2019; 20(7):696-701. PubMed ID: 31408358
    [No Abstract]   [Full Text] [Related]  

  • 8. Young driver risky behaviour and predictors of crash risk in Australia, New Zealand and Colombia: Same but different?
    Scott-Parker B; Oviedo-Trespalacios O
    Accid Anal Prev; 2017 Feb; 99(Pt A):30-38. PubMed ID: 27865138
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Self-reported handheld device use while driving.
    Kim K; Ghimire J; Pant P; Yamashita E
    Accid Anal Prev; 2019 Apr; 125():106-115. PubMed ID: 30738294
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mobile phone use among commercial drivers in Ghana: An important threat to road safety.
    Donkor I; Gyedu A; Edusei AK; Ebel BE; Donkor P
    Ghana Med J; 2018 Sep; 52(3):122-126. PubMed ID: 30602796
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Driving impairments and duration of distractions: Assessing crash risk by harnessing microscopic naturalistic driving data.
    Arvin R; Khattak AJ
    Accid Anal Prev; 2020 Oct; 146():105733. PubMed ID: 32916552
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluating the causal effects of cellphone distraction on crash risk using propensity score methods.
    Lu D; Guo F; Li F
    Accid Anal Prev; 2020 Aug; 143():105579. PubMed ID: 32480016
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Young females at risk while driving with a small child.
    Maasalo I; Lehtonen E; Summala H
    Accid Anal Prev; 2017 Nov; 108():321-331. PubMed ID: 28942042
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Characteristics of driver cell phone use and their influence on driving performance: A naturalistic driving study.
    Wang X; Xu R; Asmelash A; Xing Y; Lee C
    Accid Anal Prev; 2020 Dec; 148():105845. PubMed ID: 33120181
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The effect of distractions on the crash types of teenage drivers.
    Neyens DM; Boyle LN
    Accid Anal Prev; 2007 Jan; 39(1):206-12. PubMed ID: 16996017
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adaptation of the driver behaviour questionnaire and behavioural risk factors for traffic violation arrest and self-reported crash involvement among Nigerian drivers.
    Oluwadiya KS; Popoola SO; Onyemaechi NO; Kortor JN; Denen-Akaa P
    Niger Postgrad Med J; 2020; 27(2):93-100. PubMed ID: 32295939
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The impact of driver distraction on road safety: results from a representative survey in two Australian states.
    McEvoy SP; Stevenson MR; Woodward M
    Inj Prev; 2006 Aug; 12(4):242-7. PubMed ID: 16887946
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Examining teen driver crashes and the prevalence of distraction: Recent trends, 2007-2015.
    Carney C; Harland KK; McGehee DV
    J Safety Res; 2018 Feb; 64():21-27. PubMed ID: 29636166
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Demographic characteristics and trends of cell phone use while driving citations in selected states in the United States, 2010-2020.
    Zhang F; Benedetti M; Chang G; Evans A; Pan Y; Shoots-Reinhard B; Zhu M
    Traffic Inj Prev; 2024; 25(6):788-794. PubMed ID: 38860880
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The effects of age on crash risk associated with driver distraction.
    Guo F; Klauer SG; Fang Y; Hankey JM; Antin JF; Perez MA; Lee SE; Dingus TA
    Int J Epidemiol; 2017 Feb; 46(1):258-265. PubMed ID: 28338711
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.