BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 11029270)

  • 1. Incorporating model uncertainties along with data uncertainties in microbial risk assessment.
    Kang SH; Kodell RL; Chen JJ
    Regul Toxicol Pharmacol; 2000 Aug; 32(1):68-72. PubMed ID: 11029270
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Model averaging using the Kullback information criterion in estimating effective doses for microbial infection and illness.
    Moon H; Kim HJ; Chen JJ; Kodell RL
    Risk Anal; 2005 Oct; 25(5):1147-59. PubMed ID: 16297221
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The application of quantitative risk assessment to microbial food safety risks.
    Jaykus LA
    Crit Rev Microbiol; 1996; 22(4):279-93. PubMed ID: 8989514
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Quantifying uncertainty associated with microbial count data: a Bayesian approach.
    Clough HE; Clancy D; O'Neill PD; Robinson SE; French NP
    Biometrics; 2005 Jun; 61(2):610-6. PubMed ID: 16011711
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Uncertainty distribution associated with estimating a proportion in microbial risk assessment.
    Miconnet N; Cornu M; Beaufort A; Rosso L; Denis JB
    Risk Anal; 2005 Feb; 25(1):39-48. PubMed ID: 15787755
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Hierarchical models for probabilistic dose-response assessment.
    Kodell RL; Chen JJ; Delongchamp RR; Young JF
    Regul Toxicol Pharmacol; 2006 Aug; 45(3):265-72. PubMed ID: 16769166
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Dose-response-models and their implications for quantitative risk assessment for Campylobacter infections].
    Stellbrink E; Dahms S
    Berl Munch Tierarztl Wochenschr; 2004; 117(5-6):207-13. PubMed ID: 15188680
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dose response for infection by Escherichia coli O157:H7 from outbreak data.
    Teunis P; Takumi K; Shinagawa K
    Risk Anal; 2004 Apr; 24(2):401-7. PubMed ID: 15078310
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A quantitative microbial risk assessment model for Legionnaires' disease: animal model selection and dose-response modeling.
    Armstrong TW; Haas CN
    Risk Anal; 2007 Dec; 27(6):1581-96. PubMed ID: 18093054
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Use of results of microbiological analyses for risk-based control of Listeria monocytogenes in marinated broiler legs.
    Aarnisalo K; Vihavainen E; Rantala L; Maijala R; Suihko ML; Hielm S; Tuominen P; Ranta J; Raaska L
    Int J Food Microbiol; 2008 Feb; 121(3):275-84. PubMed ID: 18155311
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Some statistical implications of dose uncertainty in radiation dose-response analyses.
    Schafer DW; Gilbert ES
    Radiat Res; 2006 Jul; 166(1 Pt 2):303-12. PubMed ID: 16808615
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A comparison of microbial dose-response models fitted to human data.
    Moon H; Chen JJ; Gaylor DW; Kodell RL
    Regul Toxicol Pharmacol; 2004 Oct; 40(2):177-84. PubMed ID: 15450720
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Model averaging in microbial risk assessment using fractional polynomials.
    Namata H; Aerts M; Faes C; Teunis P
    Risk Anal; 2008 Aug; 28(4):891-905. PubMed ID: 18564995
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bootstrap estimation of benchmark doses and confidence limits with clustered quantal data.
    Zhu Y; Wang T; Jelsovsky JZ
    Risk Anal; 2007 Apr; 27(2):447-65. PubMed ID: 17511711
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Methods for assessing uncertainty in fundamental assumptions and associated models for cancer risk assessment.
    Small MJ
    Risk Anal; 2008 Oct; 28(5):1289-308. PubMed ID: 18844862
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Update of potency factors for asbestos-related lung cancer and mesothelioma.
    Berman DW; Crump KS
    Crit Rev Toxicol; 2008; 38 Suppl 1():1-47. PubMed ID: 18671157
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Information systems in food safety management.
    McMeekin TA; Baranyi J; Bowman J; Dalgaard P; Kirk M; Ross T; Schmid S; Zwietering MH
    Int J Food Microbiol; 2006 Dec; 112(3):181-94. PubMed ID: 16934895
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Quantitative risk assessment from farm to fork and beyond: a global Bayesian approach concerning food-borne diseases.
    Albert I; Grenier E; Denis JB; Rousseau J
    Risk Anal; 2008 Apr; 28(2):557-71. PubMed ID: 18419669
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Risk analysis of foodborne diseases: microbial risk assessment].
    González LJ; Martínez FN; Rossi L; Tornese M; Troncoso A
    Rev Chilena Infectol; 2010 Dec; 27(6):513-24. PubMed ID: 21279288
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bayesian methodology for model uncertainty using model performance data.
    Droguett EL; Mosleh A
    Risk Anal; 2008 Oct; 28(5):1457-76. PubMed ID: 18793282
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.