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 *

154 related articles for article (PubMed ID: 36115078)

  • 21. A full Bayes before-after study accounting for temporal and spatial effects: Evaluating the safety impact of new signal installations.
    Sacchi E; Sayed T; El-Basyouny K
    Accid Anal Prev; 2016 Sep; 94():52-8. PubMed ID: 27249403
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Estimation of safety performance functions for urban intersections using various functional forms of the negative binomial regression model and a generalized Poisson regression model.
    Khattak MW; Pirdavani A; De Winne P; Brijs T; De Backer H
    Accid Anal Prev; 2021 Mar; 151():105964. PubMed ID: 33421730
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Bayesian spatiotemporal crash frequency models with mixture components for space-time interactions.
    Cheng W; Gill GS; Zhang Y; Cao Z
    Accid Anal Prev; 2018 Mar; 112():84-93. PubMed ID: 29324265
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Support vector machine in crash prediction at the level of traffic analysis zones: Assessing the spatial proximity effects.
    Dong N; Huang H; Zheng L
    Accid Anal Prev; 2015 Sep; 82():192-8. PubMed ID: 26091769
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Fusing crash data and surrogate safety measures for safety assessment: Development of a structural equation model with conditional autoregressive spatial effect and random parameters.
    Yang D; Xie K; Ozbay K; Yang H
    Accid Anal Prev; 2021 Mar; 152():105971. PubMed ID: 33508696
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A Bayesian multivariate hierarchical spatial joint model for predicting crash counts by crash type at intersections and segments along corridors.
    Alarifi SA; Abdel-Aty M; Lee J
    Accid Anal Prev; 2018 Oct; 119():263-273. PubMed ID: 30056203
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety.
    Khodadadi A; Tsapakis I; Shirazi M; Das S; Lord D
    Accid Anal Prev; 2022 Jun; 170():106638. PubMed ID: 35339878
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity.
    Zeng Q; Wen H; Huang H; Pei X; Wong SC
    Accid Anal Prev; 2017 Feb; 99(Pt A):184-191. PubMed ID: 27914307
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Attention based spatio-temporal graph convolutional network with focal loss for crash risk evaluation on urban road traffic network based on multi-source risks.
    Liu X; Lu J; Chen X; Fong YHC; Ma X; Zhang F
    Accid Anal Prev; 2023 Nov; 192():107262. PubMed ID: 37598458
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A new spatial count data model with Bayesian additive regression trees for accident hot spot identification.
    Krueger R; Bansal P; Buddhavarapu P
    Accid Anal Prev; 2020 Sep; 144():105623. PubMed ID: 32562928
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A Spatial Autoregressive Quantile Regression to Examine Quantile Effects of Regional Factors on Crash Rates.
    Yu T; Gao F; Liu X; Tang J
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009547
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Estimating mountainous freeway crash rate: Application of a spatial model with three-dimensional (3D) alignment parameters.
    Wang J; He S; Zhai X; Wang Z; Fu X
    Accid Anal Prev; 2022 Jun; 170():106634. PubMed ID: 35344798
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Network screening for large urban road networks: Using GPS data and surrogate measures to model crash frequency and severity.
    Stipancic J; Miranda-Moreno L; Saunier N; Labbe A
    Accid Anal Prev; 2019 Apr; 125():290-301. PubMed ID: 30818096
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Application of a model-based recursive partitioning algorithm to predict crash frequency.
    Tang H; Donnell ET
    Accid Anal Prev; 2019 Nov; 132():105274. PubMed ID: 31446099
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Spatial analysis of traffic accidents near and between road intersections in a directed linear network.
    Briz-Redón Á; Martínez-Ruiz F; Montes F
    Accid Anal Prev; 2019 Nov; 132():105252. PubMed ID: 31437743
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Rule extraction from an optimized neural network for traffic crash frequency modeling.
    Zeng Q; Huang H; Pei X; Wong SC; Gao M
    Accid Anal Prev; 2016 Dec; 97():87-95. PubMed ID: 27591417
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Road traffic accidents prediction modelling: An analysis of Anambra State, Nigeria.
    Ihueze CC; Onwurah UO
    Accid Anal Prev; 2018 Mar; 112():21-29. PubMed ID: 29306685
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Investigation of time and weather effects on crash types using full Bayesian multivariate Poisson lognormal models.
    El-Basyouny K; Barua S; Islam MT
    Accid Anal Prev; 2014 Dec; 73():91-9. PubMed ID: 25190632
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.