UNCERTAINTY MODELING IN DOSE RESPONSE; CONTENTS; Acknowledgments; Contributors; Introduction; 1 Analysis of Dose-Response Uncertainty Using Benchmark Dose Modeling; 2 Uncertainty Quantification for Dose-Response Models Using Probabilistic Inversion with Isotonic Regression: Bench Test Results; 3 Uncertainty Modeling in Dose Response Using Nonparametric Bayes: Bench Test Results; 4 Quantifying Dose-Response Uncertainty Using Bayesian Model Averaging; 5 Combining Risks from Several Tumors Using Markov Chain Monte Carlo; 6 Uncertainty in Dose Response from the Perspective of Microbial Risk
Summary
A valuable guide to understanding the problem of quantifying uncertainty in dose response relations for toxic substances. In today's scientific research, there exists the need to address the topic of uncertainty as it pertains to dose response modeling. Uncertainty Modeling in Dose Response is the first book of its kind to implement and compare different methods for quantifying the uncertainty in the probability of response, as a function of dose. This volume gathers leading researchers in the field to properly address the issue while communicating concepts from diverse viewpoints and incorpor
