BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

210 related articles for article (PubMed ID: 27258946)

  • 21. Safety performance of traffic phases and phase transitions in three phase traffic theory.
    Xu C; Liu P; Wang W; Li Z
    Accid Anal Prev; 2015 Dec; 85():45-57. PubMed ID: 26367463
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Investigating the uniqueness of crash injury severity in freeway tunnels: A comparative study in Guizhou, China.
    Zhou Z; Meng F; Song C; Sze NN; Guo Z; Ouyang N
    J Safety Res; 2021 Jun; 77():105-113. PubMed ID: 34092300
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Can post encroachment time substitute intersection characteristics in crash prediction models?
    Peesapati LN; Hunter MP; Rodgers MO
    J Safety Res; 2018 Sep; 66():205-211. PubMed ID: 30121107
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Impact of real-time traffic characteristics on crash occurrence: Preliminary results of the case of rare events.
    Theofilatos A; Yannis G; Kopelias P; Papadimitriou F
    Accid Anal Prev; 2019 Sep; 130():151-159. PubMed ID: 29307440
    [TBL] [Abstract][Full Text] [Related]  

  • 25. LAVIA--an evaluation of the potential safety benefits of the French intelligent speed adaptation project.
    Driscoll R; Page Y; Lassarre S; Ehrlich J
    Annu Proc Assoc Adv Automot Med; 2007; 51():485-505. PubMed ID: 18184509
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A simultaneous equations model of crash frequency by severity level for freeway sections.
    Ye X; Pendyala RM; Shankar V; Konduri KC
    Accid Anal Prev; 2013 Aug; 57():140-9. PubMed ID: 23672927
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A study of freeway crash risk prediction and interpretation based on risky driving behavior and traffic flow data.
    Guo M; Zhao X; Yao Y; Yan P; Su Y; Bi C; Wu D
    Accid Anal Prev; 2021 Sep; 160():106328. PubMed ID: 34385086
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Use of crash surrogates and exceedance statistics to estimate road safety.
    Tarko AP
    Accid Anal Prev; 2012 Mar; 45():230-40. PubMed ID: 22269505
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Safety features of freeway weaving segments with a buffer-separated high-occupancy-vehicle (HOV) lane.
    Kim K; Park BJ
    Int J Inj Contr Saf Promot; 2018 Sep; 25(3):284-292. PubMed ID: 29415611
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Class-imbalanced crash prediction based on real-time traffic and weather data: A driving simulator study.
    Elamrani Abou Elassad Z; Mousannif H; Al Moatassime H
    Traffic Inj Prev; 2020; 21(3):201-208. PubMed ID: 32125890
    [No Abstract]   [Full Text] [Related]  

  • 31. Identifying crash propensity using specific traffic speed conditions.
    Abdel-Aty M; Pande A
    J Safety Res; 2005; 36(1):97-108. PubMed ID: 15752487
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Predicting crash risk and identifying crash precursors on Korean expressways using loop detector data.
    Kwak HC; Kho S
    Accid Anal Prev; 2016 Mar; 88():9-19. PubMed ID: 26710266
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Modeling crash frequency and severity using multinomial-generalized Poisson model with error components.
    Chiou YC; Fu C
    Accid Anal Prev; 2013 Jan; 50():73-82. PubMed ID: 23200442
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A Bayesian network based framework for real-time crash prediction on the basic freeway segments of urban expressways.
    Hossain M; Muromachi Y
    Accid Anal Prev; 2012 Mar; 45():373-81. PubMed ID: 22269521
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Crash risk analysis for Shanghai urban expressways: A Bayesian semi-parametric modeling approach.
    Yu R; Wang X; Yang K; Abdel-Aty M
    Accid Anal Prev; 2016 Oct; 95(Pt B):495-502. PubMed ID: 26847949
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models.
    Kim DG; Lee Y; Washington S; Choi K
    Accid Anal Prev; 2007 Jan; 39(1):125-34. PubMed ID: 16925978
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Investigation of pedestrian crashes on two-way two-lane rural roads in Ethiopia.
    Tulu GS; Washington S; Haque MM; King MJ
    Accid Anal Prev; 2015 May; 78():118-126. PubMed ID: 25770907
    [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. A crash-prediction model for multilane roads.
    Caliendo C; Guida M; Parisi A
    Accid Anal Prev; 2007 Jul; 39(4):657-70. PubMed ID: 17113552
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Investigating the relationship between run-off-the-road crash frequency and traffic flow through different functional forms.
    Roque C; Cardoso JL
    Accid Anal Prev; 2014 Feb; 63():121-32. PubMed ID: 24291069
    [TBL] [Abstract][Full Text] [Related]  

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