BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

102 related articles for article (PubMed ID: 24848209)

  • 1. Accuracy of hospital standardized mortality rates: effects of model calibration.
    Kipnis P; Liu V; Escobar GJ
    Med Care; 2014 Apr; 52(4):378-84. PubMed ID: 24848209
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Assessing the calibration of mortality benchmarks in critical care: The Hosmer-Lemeshow test revisited.
    Kramer AA; Zimmerman JE
    Crit Care Med; 2007 Sep; 35(9):2052-6. PubMed ID: 17568333
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A comparison of the performance of a model based on administrative data and a model based on clinical data: effect of severity of illness on standardized mortality ratios of intensive care units.
    Brinkman S; Abu-Hanna A; van der Veen A; de Jonge E; de Keizer NF
    Crit Care Med; 2012 Feb; 40(2):373-8. PubMed ID: 21983367
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison between an empirically derived model and the EuroSCORE system in the evaluation of hospital performance: the example of the Italian CABG Outcome Project.
    D'Errigo P; Seccareccia F; Rosato S; Manno V; Badoni G; Fusco D; Perucci CA;
    Eur J Cardiothorac Surg; 2008 Mar; 33(3):325-33. PubMed ID: 18201891
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients.
    Zimmerman JE; Kramer AA; McNair DS; Malila FM
    Crit Care Med; 2006 May; 34(5):1297-310. PubMed ID: 16540951
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Using administrative data for mortality risk adjustment in pediatric congenital cardiac surgery.
    Kane JM; Scalcucci J; Hohmann SF; Johnson T; Behal R
    Pediatr Crit Care Med; 2013 Jun; 14(5):491-8. PubMed ID: 23628836
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Effect of provider volume on the accuracy of hospital report cards: a Monte Carlo study.
    Austin PC; Reeves MJ
    Circ Cardiovasc Qual Outcomes; 2014 Mar; 7(2):299-305. PubMed ID: 24619320
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Clinical trial--derived risk model may not generalize to real-world patients with acute coronary syndrome.
    Yan AT; Jong P; Yan RT; Tan M; Fitchett D; Chow CM; Roe MT; Pieper KS; Langer A; Goodman SG;
    Am Heart J; 2004 Dec; 148(6):1020-7. PubMed ID: 15632888
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation of the critical care outcome prediction equation, version 4.
    Duke GJ; Barker A; Rasekaba T; Hutchinson A; Santamaria JD
    Crit Care Resusc; 2013 Sep; 15(3):191-7. PubMed ID: 23944205
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of the Mortality Probability Admission Model III, National Quality Forum, and Acute Physiology and Chronic Health Evaluation IV hospital mortality models: implications for national benchmarking*.
    Kramer AA; Higgins TL; Zimmerman JE
    Crit Care Med; 2014 Mar; 42(3):544-53. PubMed ID: 24158174
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The trauma risk adjustment model: a new model for evaluating trauma care.
    Moore L; Lavoie A; Turgeon AF; Abdous B; Le Sage N; Emond M; Liberman M; Bergeron E
    Ann Surg; 2009 Jun; 249(6):1040-6. PubMed ID: 19474674
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Hospital mortality risk adjustment for heart failure patients using present on admission diagnoses: improved classification and calibration.
    Stukenborg GJ
    Med Care; 2011 Aug; 49(8):744-51. PubMed ID: 21577166
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The use of fixed- and random-effects models for classifying hospitals as mortality outliers: a Monte Carlo assessment.
    Austin PC; Alter DA; Tu JV
    Med Decis Making; 2003; 23(6):526-39. PubMed ID: 14672113
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction.
    Krumholz HM; Wang Y; Mattera JA; Wang Y; Han LF; Ingber MJ; Roman S; Normand SL
    Circulation; 2006 Apr; 113(13):1683-92. PubMed ID: 16549637
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with heart failure.
    Krumholz HM; Wang Y; Mattera JA; Wang Y; Han LF; Ingber MJ; Roman S; Normand SL
    Circulation; 2006 Apr; 113(13):1693-701. PubMed ID: 16549636
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluating parsimonious risk-adjustment models for comparing hospital outcomes with vascular surgery.
    Osborne NH; Ko CY; Upchurch GR; Dimick JB
    J Vasc Surg; 2010 Aug; 52(2):400-5. PubMed ID: 20670776
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Assessing contemporary intensive care unit outcome: an updated Mortality Probability Admission Model (MPM0-III).
    Higgins TL; Teres D; Copes WS; Nathanson BH; Stark M; Kramer AA
    Crit Care Med; 2007 Mar; 35(3):827-35. PubMed ID: 17255863
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Performance of the Pediatric Index of Mortality 2 for pediatric cardiac surgery patients.
    Czaja AS; Scanlon MC; Kuhn EM; Jeffries HE
    Pediatr Crit Care Med; 2011 Mar; 12(2):184-9. PubMed ID: 20581732
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Subgroup mortality probability models: are they necessary for specialized intensive care units?
    Nathanson BH; Higgins TL; Kramer AA; Copes WS; Stark M; Teres D
    Crit Care Med; 2009 Aug; 37(8):2375-86. PubMed ID: 19531946
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Does EuroSCORE predict length of stay and specific postoperative complications after cardiac surgery?
    Toumpoulis IK; Anagnostopoulos CE; Swistel DG; DeRose JJ
    Eur J Cardiothorac Surg; 2005 Jan; 27(1):128-33. PubMed ID: 15621484
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.