Harnessing the Theoretical Foundations of the Exponential and Beta-Poisson Dose-Response Models to Quantify Parameter Uncertainty Using Markov Chain Monte Carlo-Reference-Cited by-同舟云学术

Harnessing the Theoretical Foundations of the Exponential and Beta-Poisson Dose-Response Models to Quantify Parameter Uncertainty Using Markov Chain Monte Carlo

Published:2013-01-11 Issue:9 Volume:33 Page:1677-1693
ISSN:0272-4332
Container-title:Risk Analysis
language:en
Short-container-title:Risk Analysis

Author:

Schmidt Philip J.¹,Pintar Katarina D. M.¹,Fazil Aamir M.¹,Topp Edward²

Affiliation:

1. Laboratory for Foodborne Zoonoses; Public Health Agency of Canada, 160 Research Lane; Guelph; Ontario N1G 5E2; Canada

2. Southern Crop Protection and Food Research Centre; Agriculture and Agri-Food Canada, 1391 Sandford St.; London; Ontario N5V 4T3; Canada

Publisher

Wiley

Subject

Physiology (medical),Safety, Risk, Reliability and Quality

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/risa.12006/fullpdf

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4. The infectivity of Cryptosporidium parvum in healthy volunteers;Dupont;New England Journal of Medicine,1995

5. Modeling the risk from Giardia and viruses in drinking water;Regli;Journal of the American Water Works Association,1991

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