Uncertainty Modeling in Dose Response
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Uncertainty Modeling in Dose Response: Bench Testing Environmental Toxicity(74 Statistics in Practice)

Uncertainty Modeling in Dose Response: Bench Testing Environmental Toxicity(74 Statistics in Practice)


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About the Book

Table of Contents:
Acknowledgments ix Contributors xi Introduction 1 Roger M. Cooke and Margaret MacDonell 1 Analysis of Dose–Response Uncertainty Using Benchmark Dose Modeling 17 Jeff Swartout Comment: The Math/Stats Perspective on Chapter 1: Hard Problems Remain 34 Allan H. Marcus Comment: EPI/TOX Perspective on Chapter 1: Re-formulating the Issues 37 Jouni T. Tuomisto Comment: Regulatory/Risk Perspective on Chapter 1: A Good Baseline 42 Weihsueh Chiu Comment: A Question Dangles 44 David Bussard Comment: Statistical Test for Statistics-as-Usual Confi dence Bands 45 Roger M. Cooke Response to Comments 47 Jeff Swartout 2 Uncertainty Quantifi cation for Dose–Response Models Using Probabilistic Inversion with Isotonic Regression: Bench Test Results 51 Roger M. Cooke Comment: Math/Stats Perspective on Chapter 2: Agreement and Disagreement 82 Thomas A. Louis Comment: EPI/TOX Perspective on Chapter 2: What Data Sets Per se Say 87 Lorenz Rhomberg Comment: Regulatory/Risk Perspective on Chapter 2: Substantial Advances Nourish Hope for Clarity? 97 Rob Goble Comment: A Weakness in the Approach? 105 Jouni T. Tuomisto Response to Comments 107 Roger Cooke 3 Uncertainty Modeling in Dose Response Using Nonparametric Bayes: Bench Test Results 111 Lidia Burzala and Thomas A. Mazzuchi Comment: Math/Stats Perspective on Chapter 3: Nonparametric Bayes 147 Roger M. Cooke Comment: EPI/TOX View on Nonparametric Bayes: Dosing Precision 150 Chao W. Chen Comment: Regulator/Risk Perspective on Chapter 3: Failure to Communicate 153 Dale Hattis Response to Comments 160 Lidia Burzala 4 Quantifying Dose–Response Uncertainty Using Bayesian Model Averaging 165 Melissa Whitney and Louise Ryan Comment: Math/Stats Perspective on Chapter 4: Bayesian Model Averaging 180 Michael Messner Comment: EPI/TOX Perspective on Chapter 4: Use of Bayesian Model Averaging for Addressing Uncertainties in Cancer Dose–Response Modeling 183 Margaret Chu Comment: Regulatorary/Risk Perspective on Chapter 4: Model Averages, Model Amalgams, and Model Choice 185 Adam M. Finkel Response to Comments 194 Melissa Whitney and Louise Ryan 5 Combining Risks from Several Tumors Using Markov Chain Monte Carlo 197 Leonid Kopylev, John Fox, and Chao Chen 6 Uncertainty in Dose Response from the Perspective of Microbial Risk 207 P. F. M. Teunis 7 Conclusions 217 David Bussard, Peter Preuss, and Paul White Author Index 225 Subject Index 229

About the Author :
ROGER M. COOKE, PhD, is Professor in the Department of Mathematics at Delft University of Technology, the Netherlands, and Chauncey Starr Senior Fellow for Risk Analysis at Resources for the Future, a nonprofit organization based in Washington, D.C., that conducts independent research on environmental, energy, and natural resource issues. Recognized as one of the world's leading authorities on mathematical modeling of risk and uncertainty, Dr. Cooke's research has widely influenced risk assessment methodology, particularly in the areas of expert judgment and uncertainty analysis.


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Product Details
  • ISBN-13: 9780470481394
  • Publisher: John Wiley & Sons Inc
  • Publisher Imprint: John Wiley & Sons Inc
  • Language: English
  • Series Title: 74 Statistics in Practice
  • ISBN-10: 0470481390
  • Publisher Date: 20 May 2009
  • Binding: Digital (delivered electronically)
  • No of Pages: 248
  • Sub Title: Bench Testing Environmental Toxicity


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