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 *

242 related articles for article (PubMed ID: 36078839)

  • 1. 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]  

  • 2. 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]  

  • 3. Investigating risk factors associated with pedestrian crash occurrence and injury severity in Texas.
    Rahman M; Kockelman KM; Perrine KA
    Traffic Inj Prev; 2022; 23(5):283-289. PubMed ID: 35584352
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Do factors associated with older pedestrian crash severity differ? A causal factor analysis based on exposure level of pedestrians.
    Guo M; Yuan Z; Janson B; Peng Y; Yue R; Zhang G
    Traffic Inj Prev; 2023; 24(4):321-330. PubMed ID: 36988589
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Exploring the impacts of street layout on the frequency of pedestrian crashes: A micro-level study.
    Zhu M; Li H; Sze NN; Ren G
    J Safety Res; 2022 Jun; 81():91-100. PubMed ID: 35589310
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Stability of factors influencing walking-along-the-road pedestrian injury severity outcomes under different lighting conditions: A random parameters logit approach with heterogeneity in means and out-of-sample predictions.
    Tamakloe R; Adanu EK; Atandzi J; Das S; Lord D; Park D
    Accid Anal Prev; 2023 Dec; 193():107333. PubMed ID: 37832357
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics.
    Su J; Sze NN; Bai L
    Accid Anal Prev; 2021 Feb; 150():105898. PubMed ID: 33310648
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comprehensive study of child pedestrian crash outcomes in Ghana.
    Adanu EK; Dzinyela R; Agyemang W
    Accid Anal Prev; 2023 Sep; 189():107146. PubMed ID: 37285755
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Modeling pedestrian injury severity in pedestrian-vehicle crashes considering different land use patterns: Mixed logit approach.
    Yang T; Fan WD; Song L
    Traffic Inj Prev; 2023; 24(2):114-120. PubMed ID: 36662669
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. What are the leading causes of fatal and severe injury crashes involving older pedestrian? Evidence from Bayesian network model.
    Lalika L; Kitali AE; Haule HJ; Kidando E; Sando T; Alluri P
    J Safety Res; 2022 Feb; 80():281-292. PubMed ID: 35249608
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A spatial and temporal analysis of child pedestrian crashes in Santiago, Chile.
    Blazquez CA; Celis MS
    Accid Anal Prev; 2013 Jan; 50():304-11. PubMed ID: 22658462
    [TBL] [Abstract][Full Text] [Related]  

  • 17. How effective are pedestrian crash prevention systems in improving pedestrian safety? Harnessing large-scale experimental data.
    Mahdinia I; Khattak AJ; Mohsena Haque A
    Accid Anal Prev; 2022 Jun; 171():106669. PubMed ID: 35427907
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Identifying factors related to pedestrian and cyclist crashes in ACT, Australia with an extended crash dataset.
    Du B; Zhang C; Sarkar A; Shen J; Telikani A; Hu H
    Accid Anal Prev; 2024 Nov; 207():107742. PubMed ID: 39137657
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using ordered and unordered logistic regressions to investigate risk factors associated with pedestrian crash injury severity in Victoria, Australia.
    Nasri M; Aghabayk K; Esmaili A; Shiwakoti N
    J Safety Res; 2022 Jun; 81():78-90. PubMed ID: 35589308
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.