BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

176 related articles for article (PubMed ID: 26633600)

  • 1. A full competing risk analysis of hospital-acquired infections can easily be performed by a case-cohort approach.
    Wolkewitz M; Palomar-Martinez M; Olaechea-Astigarraga P; Alvarez-Lerma F; Schumacher M
    J Clin Epidemiol; 2016 Jun; 74():187-93. PubMed ID: 26633600
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A case-cohort approach for multi-state models in hospital epidemiology.
    von Cube M; Schumacher M; Palomar-Martinez M; Olaechea-Astigarraga P; Alvarez-Lerma F; Wolkewitz M
    Stat Med; 2017 Feb; 36(3):481-495. PubMed ID: 27774627
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving nested case-control studies to conduct a full competing-risks analysis for nosocomial infections.
    Hazard D; Schumacher M; Palomar-Martinez M; Alvarez-Lerma F; Olaechea-Astigarraga P; Wolkewitz M
    Infect Control Hosp Epidemiol; 2018 Oct; 39(10):1196-1201. PubMed ID: 30157989
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Time-dependent covariates in the proportional subdistribution hazards model for competing risks.
    Beyersmann J; Schumacher M
    Biostatistics; 2008 Oct; 9(4):765-76. PubMed ID: 18434297
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Nested case-control studies in cohorts with competing events.
    Wolkewitz M; Cooper BS; Palomar-Martinez M; Olaechea-Astigarraga P; Alvarez-Lerma F; Schumacher M
    Epidemiology; 2014 Jan; 25(1):122-5. PubMed ID: 24240653
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Simulation shows undesirable results for competing risks analysis with time-dependent covariates for clinical outcomes.
    Poguntke I; Schumacher M; Beyersmann J; Wolkewitz M
    BMC Med Res Methodol; 2018 Jul; 18(1):79. PubMed ID: 30012114
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The association between colonization with carbapenemase-producing enterobacteriaceae and overall ICU mortality: an observational cohort study.
    Dautzenberg MJ; Wekesa AN; Gniadkowski M; Antoniadou A; Giamarellou H; Petrikkos GL; Skiada A; Brun-Buisson C; Bonten MJ; Derde LP;
    Crit Care Med; 2015 Jun; 43(6):1170-7. PubMed ID: 25882764
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Attributable mortality due to nosocomial infections. A simple and useful application of multistate models.
    Schumacher M; Wangler M; Wolkewitz M; Beyersmann J
    Methods Inf Med; 2007; 46(5):595-600. PubMed ID: 17938785
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Incidence, Risk Factors, and Attributable Mortality of Secondary Infections in the Intensive Care Unit After Admission for Sepsis.
    van Vught LA; Klein Klouwenberg PM; Spitoni C; Scicluna BP; Wiewel MA; Horn J; Schultz MJ; Nürnberg P; Bonten MJ; Cremer OL; van der Poll T;
    JAMA; 2016 Apr; 315(14):1469-79. PubMed ID: 26975785
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Landmark prediction of nosocomial infection risk to disentangle short- and long-stay patients.
    Wolkewitz M; Zortel M; Palomar-Martinez M; Alvarez-Lerma F; Olaechea-Astigarraga P; Schumacher M
    J Hosp Infect; 2017 May; 96(1):81-84. PubMed ID: 28285741
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multistate Modeling to Analyze Nosocomial Infection Data: An Introduction and Demonstration.
    Wolkewitz M; von Cube M; Schumacher M
    Infect Control Hosp Epidemiol; 2017 Aug; 38(8):953-959. PubMed ID: 28633679
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Methodological challenges in using point-prevalence versus cohort data in risk factor analyses of nosocomial infections.
    Wolkewitz M; Mandel M; Palomar-Martinez M; Alvarez-Lerma F; Olaechea-Astigarraga P; Schumacher M
    Ann Epidemiol; 2018 Jul; 28(7):475-480.e1. PubMed ID: 29661679
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Cause-specific cumulative incidence estimation and the fine and gray model under both left truncation and right censoring.
    Geskus RB
    Biometrics; 2011 Mar; 67(1):39-49. PubMed ID: 20377575
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Hospital-acquired infections--appropriate statistical treatment is urgently needed!
    Schumacher M; Allignol A; Beyersmann J; Binder N; Wolkewitz M
    Int J Epidemiol; 2013 Oct; 42(5):1502-8. PubMed ID: 24038717
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Crude incidence in two-phase designs in the presence of competing risks.
    Rebora P; Antolini L; Glidden DV; Valsecchi MG
    BMC Med Res Methodol; 2016 Jan; 16():5. PubMed ID: 26754746
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Subdistribution hazard models for competing risks in discrete time.
    Berger M; Schmid M; Welchowski T; Schmitz-Valckenberg S; Beyersmann J
    Biostatistics; 2020 Jul; 21(3):449-466. PubMed ID: 30418529
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Effects of long-term exposure to traffic-related air pollution on respiratory and cardiovascular mortality in the Netherlands: the NLCS-AIR study.
    Brunekreef B; Beelen R; Hoek G; Schouten L; Bausch-Goldbohm S; Fischer P; Armstrong B; Hughes E; Jerrett M; van den Brandt P
    Res Rep Health Eff Inst; 2009 Mar; (139):5-71; discussion 73-89. PubMed ID: 19554969
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The importance of censoring in competing risks analysis of the subdistribution hazard.
    Donoghoe MW; Gebski V
    BMC Med Res Methodol; 2017 Apr; 17(1):52. PubMed ID: 28376736
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Modelling two cause-specific hazards of competing risks in one cumulative proportional odds model?
    Ohneberg K; Schumacher M; Beyersmann J
    Stat Med; 2017 Nov; 36(27):4353-4363. PubMed ID: 28833435
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The analysis of case cohort design in the presence of competing risks with application to estimate the risk of delayed cardiac toxicity among Hodgkin lymphoma survivors.
    Pintilie M; Bai Y; Yun L; Hodgson DC
    Stat Med; 2010 Nov; 29(27):2802-10. PubMed ID: 20827727
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.