Evaluation of Sampling-Based Methods for Sensitivity Analysis: Case Study for the E. coli Food Safety Process Risk Model

REFERENCES

• CFSAN (Center for Food Safety and Applied Nutrition) . Draft Risk Assessment on the Public Health Impact of Vibrio parahaemolyticus in Raw Molluscan Shellfish . Prepared by Food and Drug Administration, and US Department of Agriculture . Washington, DC , USA.
   Google Scholar
• CFSAN . Quantitative Assessment of Relative Risk to Public Health from Foodborne Listeria monocytogenes Among Selected Categories of Ready-to-Eat Foods . Prepared by Center for Food Safety and Nutrition, Food and Drug Administration, and US Department of Agriculture . Washington, DC , USA. Available at http://www.foodsafety.gov/∼dms/lmr2-toc.html,
   Google Scholar
• Cullen , A C and Frey , H C . 1999 . Probabilistic Techniques in Exposure Assessment , New York, NY , , USA : Plenum Press .
   Google Scholar
• Draper , N R and Smith , H . 1981 . Applied Regression Analysis, , 2nd ed. , New York, NY , , USA : John Wiley and Sons .
   Google Scholar
• Durbin , J and Evans , J M . 1975 . Techniques for testing the constancy of regression relationships over time . J Royal Stat Soc , 37 ( 1 ) : 149 – 72 . [CSA]
   Google Scholar
• Frey , H C . 2002 . Introduction to special section on sensitivity analysis and summary of NCSU/USDA workshop on sensitivity analysis . Risk Anal , 22 ( 3 ) : 539 – 45 . [INFOTRIEVE] [CSA] [CROSSREF]
   PubMed Web of Science ®Google Scholar
• Frey , H C and Rhodes , D S . 1996 . Characterizing, simulating, and analyzing variability and uncertainty: An illustration of methods using an air toxics emissions example . Hum Ecol Risk Assess , 2 ( 4 ) : 762 – 97 . [CSA]
   Web of Science ®Google Scholar
• FSIS (Food Safety and Inspection Service) . Draft Risk Assessment of the Public Health Impact of Escherichia Coli O157:H7 in Ground Beef . Prepared for the Food Safety and Inspection Service and U.S. Department of Agriculture . Washington, DC , USA. Available at www.fsis.usda.gov/OPPDE/rdad/FRPubs/00-023N/00-023NReport.pdf
   Google Scholar
• Gardner , R H and Trabalka , J R . 1985 . Methods of Uncertainty Analysis for a Global Carbon Dioxide Model , Washington, DC , , USA : US Department of Energy . DOE/OR/21400-4
   Google Scholar
• Gibbons , J D . 1985 . Nonparametric Statistical Inference, , 2nd ed. , Statistics: Textbooks and monographs New York, NY, Basel , , USA and Switzerland : Marcel Dekker, Inc .
   Google Scholar
• Gwo , J P , Toran , L E Morris , M D . 1996 . Subsurface stormflow modeling with sensitivity analysis using a Latin-Hypercube sampling technique . Ground Water , 34 ( 5 ) : 811 – 8 . [CSA] [CROSSREF]
   Google Scholar
• Helton , J C . 1997 . Uncertainty and sensitivity analysis in the presence of stochastic and subjective uncertainty . J Stat Comput Simul , 57 ( 1 ) : 3 – 76 . [CSA]
   Web of Science ®Google Scholar
• Helton , J C and Davis , F J . 2002 . Illustration of sampling-based methods for uncertainty and sensitivity analysis . Risk Anal , 22 ( 3 ) : 591 – 622 . [INFOTRIEVE] [CSA] [CROSSREF]
   PubMed Web of Science ®Google Scholar
• Hinkley , D V . 1969 . Inference about the change-point in a sequence of random variables . Biometrika , 57 ( 1 ) : 1 – 17 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Hofer , E . 1999 . Sensitivity analysis in the context of uncertainty analysis for computationally intensive models . Computer Physics Communications , 117 ( 1–2 ) : 21 – 34 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Hoffman , F O and Hammonds , J S . 1994 . Propagation of uncertainty in risk assessment: The need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability . Risk Anal , 14 ( 5 ) : 707 – 12 . [INFOTRIEVE] [CSA] [CROSSREF]
   PubMed Web of Science ®Google Scholar
• Iman , R L , Shortencarier , M J and Jhonson , J D . 1985 . A FORTRAN 77 Program and Users Guide for the Calculation of Partial Correlation and Standardized Regression Coefficients , Albuquerque, NM , , USA : Sandia National Laboratories . Report No. SAND85-0044
   Google Scholar
• Jaykus , L A . 1996 . The application of quantitative risk assessment to microbial food safety risks . Crit Rev Microbiology , 22 ( 4 ) : 279 – 93 . [CSA]
   PubMed Web of Science ®Google Scholar
• Kendall , M and Gibbons , J D . 1990 . Rank Correlation Methods , New York, NY , , USA : Oxford University Press .
   Google Scholar
• Kolev , N I and Hofer , E . 1996 . Uncertainty and sensitivity analysis of a post-experiment simulation of non-explosive melt-water interaction . Experimental Thermal Fluid Sci , 13 ( 2 ) : 98 – 116 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Loader , C R . 1996 . Change-point estimation using nonparametric regression . Ann Stat , 24 ( 6 ) : 1667 – 78 . [CSA]
   Web of Science ®Google Scholar
• McCarthy , M A , Burgman , M A and Ferson , S . 1995 . Sensitivity analysis for models of population viability . Biological Conservation , 73 ( 2 ) : 93 – 100 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Mead , P S , Laurence , S Vance , D . 1999 . Food-related illness and death in the United States . Emerging Infectious Diseases , 5 ( 5 ) : 607 – 25 . [INFOTRIEVE] [CSA]
   PubMed Web of Science ®Google Scholar
• Mishra , S , Deeds , N E and RamaRao , B S . 2003 . Application of classification trees in the sensitivity analysis of probabilistic model results . Reliability Engineering and System Safety , 79 ( 2 ) : 123 – 29 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Mokhtari , A and Frey , H C . 2005a . Recommended practice regarding selection of sensitivity analysis methods applied to microbial food safety process risk models . Hum Ecol Risk Assess , 11 ( 3 ) : 591 – 605 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar
• Mokhtari , A and Frey , H C . 2005b . Sensitivity analysis of a two-dimensional probabilistic risk assessment model using analysis of variance . Risk Anal , 25 ( 6 ) : 1511 – 29 . [INFOTRIEVE] [CSA] [CROSSREF]
   PubMed Web of Science ®Google Scholar
• Mokhtari , A , Frey , H C and Jaykus , L-A . 2006 . Application of classification and regression trees (CART) for sensitivity analysis: Case study for the Escherichia coli O157:H7 food safety risk assessment model . J Food Protect , 69 ( 3 ) : 609 – 18 . [CSA]
   PubMed Web of Science ®Google Scholar
• Muller , H G . 1992 . Change-points in nonparametric regression analysis . Ann Stat , 20 ( 4 ) : 737 – 61 . [CSA]
   Google Scholar
• Neter , J , Kutner , M H Nachtsheim , C J . 1996 . Applied Linear Statistical Models, , 4th ed. , Chicago, IL , , USA : McGraw-Hill .
   Google Scholar
• Patil , S R and Frey , H C . 2004 . Comparison of sensitivity analysis methods based upon applications to a food safety risk model . Risk Anal , 24 ( 3 ) : 573 – 85 . [INFOTRIEVE] [CSA] [CROSSREF]
   PubMed Web of Science ®Google Scholar
• Rose , J B and Sobsey , M D . 1993 . Quantitative risk assessment for viral contamination of shellfish and coastal waters . J Food Protect , 56 ( 12 ) : 1043 – 50 . [CSA]
   PubMed Web of Science ®Google Scholar
• Rose , K A , Smith , E P Gardner , R H . 1991 . Parameter sensitivities, Monte Carlo filtering, and model forecasting under uncertainty . J Forecasting , 10 ( 1 ) : 117 – 33 . [CSA]
   Web of Science ®Google Scholar
• Saltelli , A . 2002 . Sensitivity analysis for importance assessment . Risk Anal , 22 ( 3 ) : 579 – 90 . [INFOTRIEVE] [CSA] [CROSSREF]
   PubMed Web of Science ®Google Scholar
• Saltelli , A , Chan , K and Scott , M . 2000 . Sensitivity Analysis , Probability and Statistics Series New York, NY , , USA : John Wiley & Sons .
   Google Scholar
• Sen , A and Srivastava , M . 1990 . Regression Analysis: Theory, Methods, and Applications , New York, NY , , USA : Springer-Verlag .
   Google Scholar
• SERAT (Salmonella Enteritidis Risk Assessment Team) . 1998 . “ Salmonella Enteritidis Risk Assessment for Shell Eggs and Egg Products: Final Report ” . In Salmonella Enteritidis Risk Assessment Team (SERAT) for the Food Safety and Inspection Service (FSIS) , Washington, DC , , USA : US Department of Agriculture .
   Google Scholar
• Siegel , S and Castellan , N J . 1988 . Nonparametric Statistics for the Behavioral Sciences, , 2nd ed. , New York, NY , , USA : McGraw-Hill .
   Google Scholar
• Thompson , K M and Graham , J D . 1996 . Going beyond the single number: Using probabilistic risk assessment to improve risk management . Hum Ecol Risk Assess , 2 ( 4 ) : 1008 – 34 . [CSA]
   Web of Science ®Google Scholar
• Whiting , W B , Tong , T M and Reed , M E . 1993 . Effect of uncertainties in thermodynamic data and model parameters on calculated process performances . Indust Engineering Chem Res , 32 ( 7 ) : 1367 – 71 . [CSA] [CROSSREF]
   Web of Science ®Google Scholar