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Journal Abstract Search

114 related items for PubMed ID: 22967223

  • 1. Inferring an augmented Bayesian network to confront a complex quantitative microbial risk assessment model with durability studies: application to Bacillus cereus on a courgette purée production chain.
    Rigaux C, Ancelet S, Carlin F, Nguyen-thé C, Albert I.
    Risk Anal; 2013 May; 33(5):877-92. PubMed ID: 22967223
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  • 2. Improving quantitative exposure assessment by considering genetic diversity of B. cereus in cooked, pasteurised and chilled foods.
    Afchain AL, Carlin F, Nguyen-The C, Albert I.
    Int J Food Microbiol; 2008 Nov 30; 128(1):165-73. PubMed ID: 18805600
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  • 3. Graphical models and Bayesian domains in risk modelling: application in microbiological risk assessment.
    Greiner M, Smid J, Havelaar AH, Müller-Graf C.
    Prev Vet Med; 2013 May 15; 110(1):4-11. PubMed ID: 23482086
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  • 4. Harnessing the theoretical foundations of the exponential and beta-Poisson dose-response models to quantify parameter uncertainty using Markov Chain Monte Carlo.
    Schmidt PJ, Pintar KD, Fazil AM, Topp E.
    Risk Anal; 2013 Sep 15; 33(9):1677-93. PubMed ID: 23311599
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  • 5. 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 15; 28(2):557-71. PubMed ID: 18419669
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  • 7. A quantitative microbiological exposure assessment model for Bacillus cereus in pasteurized rice cakes using computational fluid dynamics and Monte Carlo simulation.
    Park HW, Yoon WB.
    Food Res Int; 2019 Nov 15; 125():108562. PubMed ID: 31554100
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  • 9. Use of sensitivity analysis to aid interpretation of a probabilistic Bacillus cereus spore lag time model applied to heat-treated chilled foods (REPFEDs).
    Membré JM, Kan-King-Yu D, Blackburn Cde W.
    Int J Food Microbiol; 2008 Nov 30; 128(1):28-33. PubMed ID: 18691785
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  • 14. Beyond QMRA: Modelling microbial health risk as a complex system using Bayesian networks.
    Beaudequin D, Harden F, Roiko A, Stratton H, Lemckert C, Mengersen K.
    Environ Int; 2015 Jul 30; 80():8-18. PubMed ID: 25827265
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  • 17. 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 30; 25(1):39-48. PubMed ID: 15787755
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  • 20. QMRA and decision-making: are we handling measurement errors associated with pathogen concentration data correctly?
    Schmidt PJ, Emelko MB.
    Water Res; 2011 Jan 30; 45(2):427-38. PubMed ID: 20851444
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