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 *

211 related articles for article (PubMed ID: 33120184)

  • 41. Bayesian spatial joint modeling of traffic crashes on an urban road network.
    Zeng Q; Huang H
    Accid Anal Prev; 2014 Jun; 67():105-12. PubMed ID: 24636872
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Investigating the effects of the fixed and varying dispersion parameters of Poisson-gamma models on empirical Bayes estimates.
    Lord D; Park PY
    Accid Anal Prev; 2008 Jul; 40(4):1441-57. PubMed ID: 18606278
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Understanding how relationships between crash frequency and correlates vary for multilane rural highways: Estimating geographically and temporally weighted regression models.
    Mohammadnazar A; Mahdinia I; Ahmad N; Khattak AJ; Liu J
    Accid Anal Prev; 2021 Jul; 157():106146. PubMed ID: 33972090
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Multivariate crash modeling for motor vehicle and non-motorized modes at the macroscopic level.
    Lee J; Abdel-Aty M; Jiang X
    Accid Anal Prev; 2015 May; 78():146-154. PubMed ID: 25790973
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Cyclist-vehicle crash modeling with measurement error in traffic exposure.
    Kamel MB; Sayed T
    Accid Anal Prev; 2020 Sep; 144():105612. PubMed ID: 32526501
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Understanding the effects of trip patterns on spatially aggregated crashes with large-scale taxi GPS data.
    Bao J; Liu P; Qin X; Zhou H
    Accid Anal Prev; 2018 Nov; 120():281-294. PubMed ID: 30179734
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Investigation of the consequences of the modifiable areal unit problem in macroscopic traffic safety analysis: A case study accounting for scale and zoning.
    Briz-Redón Á; Martínez-Ruiz F; Montes F
    Accid Anal Prev; 2019 Nov; 132():105276. PubMed ID: 31525649
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Multivariate random-parameters zero-inflated negative binomial regression model: an application to estimate crash frequencies at intersections.
    Dong C; Clarke DB; Yan X; Khattak A; Huang B
    Accid Anal Prev; 2014 Sep; 70():320-9. PubMed ID: 24841002
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones.
    Rahman MS; Abdel-Aty M; Hasan S; Cai Q
    J Safety Res; 2019 Sep; 70():275-288. PubMed ID: 31848006
    [TBL] [Abstract][Full Text] [Related]  

  • 50. How instantaneous driving behavior contributes to crashes at intersections: Extracting useful information from connected vehicle message data.
    Arvin R; Kamrani M; Khattak AJ
    Accid Anal Prev; 2019 Jun; 127():118-133. PubMed ID: 30851563
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Traffic crash analysis with point-of-interest spatial clustering.
    Jia R; Khadka A; Kim I
    Accid Anal Prev; 2018 Dec; 121():223-230. PubMed ID: 30265908
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Localizing safety performance functions for two-way STOP-controlled (TWST) three-leg intersections on rural two-lane two-way (TLTW) roadways in Alabama: A geospatial modeling approach with clustering analysis.
    Zhang Z; Liu J; Li X; Fu X; Yang C; Jones S
    Accid Anal Prev; 2023 Jan; 179():106896. PubMed ID: 36423416
    [TBL] [Abstract][Full Text] [Related]  

  • 53. An empirical evaluation of multivariate spatial crash frequency models.
    Cheng W; Gill GS; Dasu M; Jia X
    Accid Anal Prev; 2018 Oct; 119():290-306. PubMed ID: 30092446
    [TBL] [Abstract][Full Text] [Related]  

  • 54. An integrated spatio-temporal approach to examine the consequences of driving under the influence (DUI) in crashes.
    Liu J; Li X; Khattak AJ
    Accid Anal Prev; 2020 Oct; 146():105742. PubMed ID: 32942168
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Multivariate random parameter Tobit modeling of crashes involving aging drivers, passengers, bicyclists, and pedestrians: Spatiotemporal variations.
    Ulak MB; Ozguven EE; Vanli OA; Dulebenets MA; Spainhour L
    Accid Anal Prev; 2018 Dec; 121():1-13. PubMed ID: 30205281
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Multiple membership multilevel model to estimate intersection crashes.
    Park HC; Yang S; Park PY; Kim DK
    Accid Anal Prev; 2020 Sep; 144():105589. PubMed ID: 32593780
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Spatial regression analysis of traffic crashes in Seoul.
    Rhee KA; Kim JK; Lee YI; Ulfarsson GF
    Accid Anal Prev; 2016 Jun; 91():190-9. PubMed ID: 26994374
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Application of the Conway-Maxwell-Poisson generalized linear model for analyzing motor vehicle crashes.
    Lord D; Guikema SD; Geedipally SR
    Accid Anal Prev; 2008 May; 40(3):1123-34. PubMed ID: 18460381
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Truck crash severity in New York city: An investigation of the spatial and the time of day effects.
    Zou W; Wang X; Zhang D
    Accid Anal Prev; 2017 Feb; 99(Pt A):249-261. PubMed ID: 27984816
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Re-visiting crash-speed relationships: A new perspective in crash modelling.
    Imprialou MI; Quddus M; Pitfield DE; Lord D
    Accid Anal Prev; 2016 Jan; 86():173-85. PubMed ID: 26571206
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.