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 *

162 related articles for article (PubMed ID: 32562927)

  • 1. Does elderly safety matter? Associations between built environments and pedestrian crashes in Seoul, Korea.
    Lee S; Yoon J; Woo A
    Accid Anal Prev; 2020 Sep; 144():105621. PubMed ID: 32562927
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Multilevel Model Approach for Investigating Individual Accident Characteristics and Neighborhood Environment Characteristics Affecting Pedestrian-Vehicle Crashes.
    Park S; Ko D
    Int J Environ Res Public Health; 2020 Apr; 17(9):. PubMed ID: 32365640
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Exploring the Determinants of the Severity of Pedestrian Injuries by Pedestrian Age: A Case Study of Daegu Metropolitan City, South Korea.
    Park SH; Bae MK
    Int J Environ Res Public Health; 2020 Mar; 17(7):. PubMed ID: 32244336
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modelling severity of pedestrian-injury in pedestrian-vehicle crashes with latent class clustering and partial proportional odds model: A case study of North Carolina.
    Li Y; Fan WD
    Accid Anal Prev; 2019 Oct; 131():284-296. PubMed ID: 31351231
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Severity of road crashes involving pedestrians in Metro Manila, Philippines.
    Verzosa N; Miles R
    Accid Anal Prev; 2016 Sep; 94():216-26. PubMed ID: 27340839
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Hierarchical ordered model for injury severity of pedestrian crashes in South Korea.
    Kim M; Kho SY; Kim DK
    J Safety Res; 2017 Jun; 61():33-40. PubMed ID: 28454869
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Considering built environment and spatial correlation in modeling pedestrian injury severity.
    Prato CG; Kaplan S; Patrier A; Rasmussen TK
    Traffic Inj Prev; 2018 Jan; 19(1):88-93. PubMed ID: 28534647
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spatio-temporal patterns in pedestrian crashes and their determining factors: Application of a space-time cube analysis model.
    Yoon J; Lee S
    Accid Anal Prev; 2021 Oct; 161():106291. PubMed ID: 34543783
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Temporal instability of the determinants of fatal/severe elderly pedestrian injury outcomes in intersections and non-intersections before, during, and after the COVID-19 pandemic.
    Tamakloe R; Zhang K; Kim I
    Accid Anal Prev; 2024 Sep; 205():107676. PubMed ID: 38875960
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile.
    Rampinelli A; Calderón JF; Blazquez CA; Sauer-Brand K; Hamann N; Nazif-Munoz JI
    Int J Environ Res Public Health; 2022 Sep; 19(17):. PubMed ID: 36078839
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The effects of roadway and built environment characteristics on pedestrian fatality risk: A national assessment at the neighborhood scale.
    Mansfield TJ; Peck D; Morgan D; McCann B; Teicher P
    Accid Anal Prev; 2018 Dec; 121():166-176. PubMed ID: 30248532
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Children at risk: A comparison of child pedestrian traffic collisions in Santiago, Chile, and Seoul, South Korea.
    Blazquez C; Lee JS; Zegras C
    Traffic Inj Prev; 2016; 17(3):304-12. PubMed ID: 26075650
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pedestrian injury severity in motor vehicle crashes: An integrated spatio-temporal modeling approach.
    Liu J; Hainen A; Li X; Nie Q; Nambisan S
    Accid Anal Prev; 2019 Nov; 132():105272. PubMed ID: 31454739
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A comparative study of safe and unsafe signalized intersections from the view point of pedestrian behavior and perception.
    Mukherjee D; Mitra S
    Accid Anal Prev; 2019 Nov; 132():105218. PubMed ID: 31442923
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The transportation safety of elderly pedestrians: Modeling contributing factors to elderly pedestrian collisions.
    Kim D
    Accid Anal Prev; 2019 Oct; 131():268-274. PubMed ID: 31336314
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Investigating proximity of crash locations to aging pedestrian residences.
    Haule HJ; Sando T; Kitali AE; Richardson R
    Accid Anal Prev; 2019 Jan; 122():215-225. PubMed ID: 30390517
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Analyzing fault and severity in pedestrian-motor vehicle accidents in China.
    Zhang G; Yau KK; Zhang X
    Accid Anal Prev; 2014 Dec; 73():141-50. PubMed ID: 25238293
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Influence of Built Environment Factors on Elderly Pedestrian Road Safety in Cities: The Experience of Madrid.
    Gálvez-Pérez D; Guirao B; Ortuño A; Picado-Santos L
    Int J Environ Res Public Health; 2022 Feb; 19(4):. PubMed ID: 35206469
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Bayesian spatial Poisson-lognormal model to examine pedestrian crash severity at signalized intersections.
    Munira S; Sener IN; Dai B
    Accid Anal Prev; 2020 Sep; 144():105679. PubMed ID: 32688081
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The epidemiology of pedestrian fatalities and substance use in Georgia, United States, 2007-2016.
    Thomas M; Williams T; Jones J
    Accid Anal Prev; 2020 Jan; 134():105329. PubMed ID: 31704642
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.