1. Edition - July 2009
97.90 Euro
2009. 230 Pages, Hardcover
ISBN-10: 0-470-44750-8
ISBN-13: 978-0-470-44750-5 - John Wiley & Sons






Sample Chapter

Short description
This is the first book to address the problem of quantifying uncertainty in dose response relations for toxic substances. Leading contributors from the toxicology and risk assessment communities were invited to apply their methods to quantify model uncertainty. The results are very revealing of the properties, strengths, and weaknesses of various approaches. Each approach described in the book is discussed from three viewpoints: that of the risk analyst/regulator; the statistician/mathematician; and the toxicologist/epidemiologist. This multifaceted presentation not only helps to explain the models, but it also provides excellent input on their uses and limitations.

From the contents
Acknowledgments.

Contributors.

Introduction (Roger M. Cooke and Margaret MacDonell).

1 Analysis of Dose-Response Uncertainty Using Benchmark Dose Modeling (Jeff Swartout).

Comment: The Math/Stats Perspective on Chapter 1: Hard Problems Remain (Allan H. Marcus).

Comment: EPI/TOX Perspective on Chapter 1: Re-formulating the Issues (Jouni T. Tuomisto).

Comment: Regulatory/Risk Perspective on Chapter 1: A Good Baseline (Weihsueh Chiu).

Comment: A Question Dangles (David Bussard).

Comment: Statistical Test for Statistics-as-Usual Confidence Bands (Roger M. Cooke).

Response to Comments (Jeff Swartout).

2 Uncertainty Quantification for Dose-Response Models Using Probabilistic Inversion with Isotonic Regression: Bench Test Results (Roger M. Cooke).

Comment: Math/Stats Perspective on Chapter 2: Agreement and Disagreement (Thomas A. Louis).

Comment: EPI/TOX Perspective on Chapter 2: What Data Sets Per se Say (Lorenz Rhomberg).

Comment: Regulatory/Risk Perspective on Chapter 2: Substantial Advances Nourish Hope for Clarity? (Rob Goble).

Comment: A Weakness in the Approach? (Jouni T. Tuomisto).

Response to Comments (Roger Cooke).

3 Uncertainty Modeling in Dose Response Using Nonparametric Bayes: Bench Test Results (Lidia Burzala and Thomas A. Mazzuchi).

Comment: Math/Stats Perspective on Chapter 3: Nonparametric Bayes (Roger M. Cooke).

Comment: EPI/TOX View on Nonparametric Bayes: Dosing Precision (Chao W. Chen).

Comment: Regulator/Risk Perspective on Chapter 3: Failure to Communicate (Dale Hattis).

Response to Comments (Lidia Burzala).

4 Quantifying Dose-Response Uncertainty Using Bayesian Model Averaging (Melissa Whitney and Louise Ryan).

Comment: Math/Stats Perspective on Chapter 4: Bayesian Model Averaging (Michael Messner).

Comment: EPI/TOX Perspective on Chapter 4: Use of Bayesian Model Averaging for Addressing Uncertainties in Cancer Dose-Response Modeling (Margaret Chu).

Comment: Regulatorary/Risk Perspective on Chapter 4: Model Averages, Model Amalgams, and Model Choice (Adam M. Finkel).

Response to Comments (Melissa Whitney and Louise Ryan).

5 Combining Risks from Several Tumors Using Markov Chain Monte Carlo (Leonid Kopylev, John Fox, and Chao Chen).

6 Uncertainty in Dose Response from the Perspective of Microbial Risk (P. F. M. Teunis).

7 Conclusions (David Bussard, Peter Preuss, and Paul White).

Author Index.

Subject Index.