BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

687 related articles for article (PubMed ID: 30007211)

  • 21. Driver injury severity outcome analysis in rural interstate highway crashes: a two-level Bayesian logistic regression interpretation.
    Chen C; Zhang G; Liu XC; Ci Y; Huang H; Ma J; Chen Y; Guan H
    Accid Anal Prev; 2016 Dec; 97():69-78. PubMed ID: 27591415
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Multi-level Bayesian analyses for single- and multi-vehicle freeway crashes.
    Yu R; Abdel-Aty M
    Accid Anal Prev; 2013 Sep; 58():97-105. PubMed ID: 23727550
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Developing crash prediction models using parametric and nonparametric approaches for rural mountainous freeways: A case study on Wyoming Interstate 80.
    Gaweesh SM; Ahmed MM; Piccorelli AV
    Accid Anal Prev; 2019 Feb; 123():176-189. PubMed ID: 30522002
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Contributing factors to vehicle to vehicle crash frequency and severity under rainfall.
    Jung S; Jang K; Yoon Y; Kang S
    J Safety Res; 2014 Sep; 50():1-10. PubMed ID: 25142355
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Quantifying drivers' visual perception to analyze accident-prone locations on two-lane mountain highways.
    Yu B; Chen Y; Bao S; Xu D
    Accid Anal Prev; 2018 Oct; 119():122-130. PubMed ID: 30025353
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Quantifying the safety effects of horizontal curves on two-way, two-lane rural roads.
    Gooch JP; Gayah VV; Donnell ET
    Accid Anal Prev; 2016 Jul; 92():71-81. PubMed ID: 27042987
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Development of safety performance functions for Spanish two-lane rural highways on flat terrain.
    Garach L; de Oña J; López G; Baena L
    Accid Anal Prev; 2016 Oct; 95(Pt A):250-65. PubMed ID: 27466785
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Interactive risk analysis on crash injury severity at a mountainous freeway with tunnel groups in China.
    Huang H; Peng Y; Wang J; Luo Q; Li X
    Accid Anal Prev; 2018 Feb; 111():56-62. PubMed ID: 29172045
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Random parameter models of interstate crash frequencies by severity, number of vehicles involved, collision and location type.
    Venkataraman N; Ulfarsson GF; Shankar VN
    Accid Anal Prev; 2013 Oct; 59():309-18. PubMed ID: 23850546
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Investigating occupant injury severity of truck-involved crashes based on vehicle types on a mountainous freeway: A hierarchical Bayesian random intercept approach.
    Haq MT; Zlatkovic M; Ksaibati K
    Accid Anal Prev; 2020 Sep; 144():105654. PubMed ID: 32599313
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Integration of geometric consistency contributory factors in three-leg junctions collision prediction models of Portuguese two-lane national highways.
    da Costa JO; Jacques MA; Soares FE; Freitas EF
    Accid Anal Prev; 2016 Jan; 86():59-67. PubMed ID: 26513337
    [TBL] [Abstract][Full Text] [Related]  

  • 32. M5 model tree based predictive modeling of road accidents on non-urban sections of highways in India.
    Singh G; Sachdeva SN; Pal M
    Accid Anal Prev; 2016 Nov; 96():108-117. PubMed ID: 27521904
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Calibration of inertial consistency models on North Carolina two-lane rural roads.
    Llopis-Castelló D; Findley DJ; Camacho-Torregrosa FJ; García A
    Accid Anal Prev; 2019 Jun; 127():236-245. PubMed ID: 30933846
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Severity models of cross-median and rollover crashes on rural divided highways in Pennsylvania.
    Hu W; Donnell ET
    J Safety Res; 2011 Oct; 42(5):375-82. PubMed ID: 22093572
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Investigation of factors affecting the injury severity of single-vehicle rollover crashes: A random-effects generalized ordered probit model.
    Anarkooli AJ; Hosseinpour M; Kardar A
    Accid Anal Prev; 2017 Sep; 106():399-410. PubMed ID: 28728062
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A crash-prediction model for road tunnels.
    Caliendo C; De Guglielmo ML; Guida M
    Accid Anal Prev; 2013 Jun; 55():107-15. PubMed ID: 23523897
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Road safety from the perspective of driver gender and age as related to the injury crash frequency and road scenario.
    Russo F; Biancardo SA; Dell'Acqua G
    Traffic Inj Prev; 2014; 15(1):25-33. PubMed ID: 24279963
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Analyzing road design risk factors for run-off-road crashes in The Netherlands with crash prediction models.
    van Petegem JW; Wegman F
    J Safety Res; 2014 Jun; 49():121-7. PubMed ID: 24913476
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Bootstrap resampling approach to disaggregate analysis of road crashes in Hong Kong.
    Pei X; Sze NN; Wong SC; Yao D
    Accid Anal Prev; 2016 Oct; 95(Pt B):512-520. PubMed ID: 26164706
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 35.