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Uncertainty Modeling in Dose Response [2009]

1
Introduction
17
Analysis of Dose–Response Uncertainty Using Benchmark Dose Modeling
34
Comment: The Math/Stats Perspective on Chapter 1: Hard Problems Remain
37
Comment: EPI/TOX Perspective on Chapter 1: Re‐Formulating the Issues
42
Comment: Regulatory/Risk Perspective on Chapter 1 : A Good Baseline
44
Comment: A Question Dangles
45
Comment: Statistical Test for Statistics ‐ as ‐ Usual Confidence Bands
47
Response to Comments
51
Uncertainty Quantification for Dose–Response Models Using Probabilistic Inversion with Isotonic Regression: Bench Test Results
82
Math/Stats Perspective on Chapter 2: Agreement and Disagreement
87
Comment: EPI/TOX Perspective on Chapter 2: What Data Sets Per se Say
97
Comment: Regulatory/Risk Perspective on Chapter 2: Substantial Advances Nourish Hope for Clarity?
105
Comment: A Weakness in the Approach?
107
Response to Comments
111
Uncertainty Modeling in Dose Response Using Nonparametric Bayes: Bench Test Results
147
Comment: Math/Stats Perspective on Chapter 3: Nonparametric Bayes
150
Comment: EPI/TOX View on Nonparametric Bayes: Dosing Precision
153
Comment: Regulator/Risk Perspective on Chapter 3: Failure to Communicate
160
Response to Comments
165
Quantifying Dose–Response Uncertainty Using Bayesian Model Averaging
180
Comment: Math/Stats Perspective on Chapter 4: Bayesian Model Averaging
183
Comment: EPI/TOX Perspective on Chapter 4: Use of Bayesian Model Averaging for Addressing Uncertainties in Cancer Dose–Response Modeling
185
Comment: Regulatory/Risk Perspective on Chapter 4: Model Averages, Model Amalgams, and Model Choice
194
Response to Comments
197
Combining Risks from Several Tumors Using Markov Chain Monte Carlo
207
Uncertainty in Dose Response from the Perspective of Microbial Risk
217
Conclusions
225
Author Index
229
Subject Index
i
Frontmatter
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