Incorporating parameter uncertainty into Quantitative Microbial Risk Assessment (QMRA).

@article{Donald2011IncorporatingPU,
  title={Incorporating parameter uncertainty into Quantitative Microbial Risk Assessment (QMRA).},
  author={Margaret Donald and Kerrie L. Mengersen and Simon Toze and Jatinder P S Sidhu and Angus Cook},
  journal={Journal of water and health},
  year={2011},
  volume={9 1},
  pages={
          10-26
        }
}
Modern statistical models and computational methods can now incorporate uncertainty of the parameters used in Quantitative Microbial Risk Assessments (QMRA). Many QMRAs use Monte Carlo methods, but work from fixed estimates for means, variances and other parameters. We illustrate the ease of estimating all parameters contemporaneously with the risk assessment, incorporating all the parameter uncertainty arising from the experiments from which these parameters are estimated. A Bayesian approach… CONTINUE READING

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