BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

329 related articles for article (PubMed ID: 27736159)

  • 21. Pedestrian injury analysis with consideration of the selectivity bias in linked police-hospital data.
    Tarko A; Azam MS
    Accid Anal Prev; 2011 Sep; 43(5):1689-95. PubMed ID: 21658495
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Front-to-rear crashes involving two vehicles with severe driver injury.
    Viano DC; Parenteau CS
    Traffic Inj Prev; 2012; 13(1):55-60. PubMed ID: 22239144
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Analyzing pedestrian crash injury severity at signalized and non-signalized locations.
    Haleem K; Alluri P; Gan A
    Accid Anal Prev; 2015 Aug; 81():14-23. PubMed ID: 25935426
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Ten-year review of BMW Accident Research Program-investigated cases.
    Bahouth J; Withum K; Bahouth G; Digges K; Stratton J; Spicer R; Steinhauser F; Baur P; Schulman C
    Traffic Inj Prev; 2018; 19(sup2):S145-S146. PubMed ID: 30841809
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Belted driver fatalities: Time of death and risk by injury severity.
    Viano DC; Parenteau CS
    Traffic Inj Prev; 2018 Feb; 19(2):153-158. PubMed ID: 28738161
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Incidence and severity of head and neck injuries in victims of road traffic crashes: In an economically developed country.
    Bener A; Rahman YS; Mitra B
    Int Emerg Nurs; 2009 Jan; 17(1):52-9. PubMed ID: 19135016
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Modelling injury severity of bicyclists in bicycle-car crashes at intersections.
    Bahrololoom S; Young W; Logan D
    Accid Anal Prev; 2020 Sep; 144():105597. PubMed ID: 32559658
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. 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]  

  • 30. Comparing motor-vehicle crash risk of EU and US vehicles.
    Flannagan CAC; Bálint A; Klinich KD; Sander U; Manary MA; Cuny S; McCarthy M; Phan V; Wallbank C; Green PE; Sui B; Forsman Å; Fagerlind H
    Accid Anal Prev; 2018 Aug; 117():392-397. PubMed ID: 29482897
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Injury characteristics and outcome of road traffic accident among victims at Adult Emergency Department of Tikur Anbessa specialized hospital, Addis Ababa, Ethiopia: a prospective hospital based study.
    Seid M; Azazh A; Enquselassie F; Yisma E
    BMC Emerg Med; 2015 May; 15():10. PubMed ID: 25990560
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Modeling single-vehicle run-off-road crash severity in rural areas: Accounting for unobserved heterogeneity and age difference.
    Gong L; Fan WD
    Accid Anal Prev; 2017 Apr; 101():124-134. PubMed ID: 28226253
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Road crash casualties: characteristics of police injury severity misclassification.
    Amoros E; Martin JL; Chiron M; Laumon B
    J Trauma; 2007 Feb; 62(2):482-90. PubMed ID: 17297339
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Factors associated with severity of road traffic injuries, Thika, Kenya.
    Mogaka EO; Ng'ang'a Z; Oundo J; Omolo J; Luman E
    Pan Afr Med J; 2011; 8():20. PubMed ID: 22121429
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Comparison and validation of injury risk classifiers for advanced automated crash notification systems.
    Kusano K; Gabler HC
    Traffic Inj Prev; 2014; 15 Suppl 1():S126-33. PubMed ID: 25307377
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Psychological distress and physical disability in patients sustaining severe injuries in road traffic crashes: Results from a one-year cohort study from three European countries.
    Papadakaki M; Ferraro OE; Orsi C; Otte D; Tzamalouka G; von-der-Geest M; Lajunen T; Özkan T; Morandi A; Sarris M; Pierrakos G; Chliaoutakis J
    Injury; 2017 Feb; 48(2):297-306. PubMed ID: 27889110
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Missing cyclists.
    Langley JD; Dow N; Stephenson S; Kypri K
    Inj Prev; 2003 Dec; 9(4):376-9. PubMed ID: 14693904
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identification and validation of a logistic regression model for predicting serious injuries associated with motor vehicle crashes.
    Kononen DW; Flannagan CA; Wang SC
    Accid Anal Prev; 2011 Jan; 43(1):112-22. PubMed ID: 21094304
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Assessing injury severity in bicyclists involved in traffic accidents to more effectively prevent fatal bicycle injuries in Japan.
    Gomei S; Hitosugi M; Ikegami K; Tokudome S
    Med Sci Law; 2013 Oct; 53(4):194-8. PubMed ID: 23945263
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Characteristics of the road and surrounding environment in metropolitan shopping strips: association with the frequency and severity of single-vehicle crashes.
    Stephan KL; Newstead SV
    Traffic Inj Prev; 2014; 15 Suppl 1():S74-80. PubMed ID: 25307401
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.