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Uncertainty Modeling in Dose Response [2009]
- 1
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Introduction
- 17
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Analysis of Dose–Response Uncertainty Using Benchmark Dose Modeling
- 34
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Comment: The Math/Stats Perspective on Chapter 1: Hard Problems Remain
- 37
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Comment: EPI/TOX Perspective on Chapter 1: Re‐Formulating the Issues
- 42
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Comment: Regulatory/Risk Perspective on Chapter 1 : A Good Baseline
- 44
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Comment: A Question Dangles
- 45
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Comment: Statistical Test for Statistics ‐ as ‐ Usual Confidence Bands
- 47
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Response to Comments
- 51
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Uncertainty Quantification for Dose–Response Models Using Probabilistic Inversion with Isotonic Regression: Bench Test Results
- 82
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Math/Stats Perspective on Chapter 2: Agreement and Disagreement
- 87
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Comment: EPI/TOX Perspective on Chapter 2: What Data Sets Per se Say
- 97
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Comment: Regulatory/Risk Perspective on Chapter 2: Substantial Advances Nourish Hope for Clarity?
- 105
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Comment: A Weakness in the Approach?
- 107
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Response to Comments
- 111
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Uncertainty Modeling in Dose Response Using Nonparametric Bayes: Bench Test Results
- 147
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Comment: Math/Stats Perspective on Chapter 3: Nonparametric Bayes
- 150
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Comment: EPI/TOX View on Nonparametric Bayes: Dosing Precision
- 153
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Comment: Regulator/Risk Perspective on Chapter 3: Failure to Communicate
- 160
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Response to Comments
- 165
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Quantifying Dose–Response Uncertainty Using Bayesian Model Averaging
- 180
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Comment: Math/Stats Perspective on Chapter 4: Bayesian Model Averaging
- 183
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Comment: EPI/TOX Perspective on Chapter 4: Use of Bayesian Model Averaging for Addressing Uncertainties in Cancer Dose–Response Modeling
- 185
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Comment: Regulatory/Risk Perspective on Chapter 4: Model Averages, Model Amalgams, and Model Choice
- 194
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Response to Comments
- 197
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Combining Risks from Several Tumors Using Markov Chain Monte Carlo
- 207
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Uncertainty in Dose Response from the Perspective of Microbial Risk
- 217
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Conclusions
- 225
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Author Index
- 229
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Subject Index
- i
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Frontmatter