{"product_id":"uncertainty-modeling-in-dose-response-9780470447505","title":"Uncertainty Modeling in Dose Response","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe goal of the book is to implement and compare different methods for quantifying the uncertainty in the probability of response, as a function of dose. Ultimately and ideally, this would be in a form compatible with integrated uncertainty analysis, comprising release, exposure, response, treatment cost, etc.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eAcknowledgments ix\u003c\/p\u003e \u003cp\u003eContributors xi\u003c\/p\u003e \u003cp\u003eIntroduction 1\u003cbr\u003e\u003ci\u003eRoger M. Cooke and Margaret MacDonell\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1 Analysis of Dose–Response Uncertainty Using Benchmark Dose Modeling 17\u003cbr\u003e\u003ci\u003eJeff Swartout\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: The Math\/Stats Perspective on Chapter 1: Hard Problems Remain 34\u003cbr\u003e\u003ci\u003eAllan H. Marcus\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: EPI\/TOX Perspective on Chapter 1: Re-formulating the Issues 37\u003cbr\u003e\u003ci\u003eJouni T. Tuomisto\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: Regulatory\/Risk Perspective on Chapter 1: A Good Baseline 42\u003cbr\u003e\u003ci\u003eWeihsueh Chiu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: A Question Dangles 44\u003cbr\u003e\u003ci\u003eDavid Bussard\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: Statistical Test for Statistics-as-Usual Confi dence Bands 45\u003cbr\u003e\u003ci\u003eRoger M. Cooke\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eResponse to Comments 47\u003cbr\u003e\u003ci\u003eJeff Swartout\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Uncertainty Quantifi cation for Dose–Response Models Using Probabilistic Inversion with Isotonic Regression: Bench Test Results 51\u003cbr\u003e\u003ci\u003eRoger M. Cooke\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: Math\/Stats Perspective on Chapter 2: Agreement and Disagreement 82\u003cbr\u003e\u003ci\u003eThomas A. Louis\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: EPI\/TOX Perspective on Chapter 2: What Data Sets Per se Say 87\u003cbr\u003e\u003ci\u003eLorenz Rhomberg\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: Regulatory\/Risk Perspective on Chapter 2: Substantial Advances Nourish Hope for Clarity? 97\u003cbr\u003e\u003ci\u003eRob Goble\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: A Weakness in the Approach? 105\u003cbr\u003e\u003ci\u003eJouni T. Tuomisto\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eResponse to Comments 107\u003cbr\u003e\u003ci\u003eRoger Cooke\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Uncertainty Modeling in Dose Response Using Nonparametric Bayes: Bench Test Results 111\u003cbr\u003e\u003ci\u003eLidia Burzala and Thomas A. Mazzuchi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: Math\/Stats Perspective on Chapter 3: Nonparametric Bayes 147\u003cbr\u003e\u003ci\u003eRoger M. Cooke\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: EPI\/TOX View on Nonparametric Bayes: Dosing Precision 150\u003cbr\u003e\u003ci\u003eChao W. Chen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: Regulator\/Risk Perspective on Chapter 3: Failure to Communicate 153\u003cbr\u003e\u003ci\u003eDale Hattis\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eResponse to Comments 160\u003cbr\u003e\u003ci\u003eLidia Burzala\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Quantifying Dose–Response Uncertainty Using Bayesian Model Averaging 165\u003cbr\u003e\u003ci\u003eMelissa Whitney and Louise Ryan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: Math\/Stats Perspective on Chapter 4: Bayesian Model Averaging 180\u003cbr\u003e\u003ci\u003eMichael Messner\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: EPI\/TOX Perspective on Chapter 4: Use of Bayesian Model Averaging for Addressing Uncertainties in Cancer Dose–Response Modeling 183\u003cbr\u003e\u003ci\u003eMargaret Chu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eComment: Regulatorary\/Risk Perspective on Chapter 4: Model Averages, Model Amalgams, and Model Choice 185\u003cbr\u003e\u003ci\u003eAdam M. Finkel\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eResponse to Comments 194\u003cbr\u003e\u003ci\u003eMelissa Whitney and Louise Ryan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Combining Risks from Several Tumors Using Markov Chain Monte Carlo 197\u003cbr\u003e\u003ci\u003eLeonid Kopylev, John Fox, and Chao Chen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Uncertainty in Dose Response from the Perspective of Microbial Risk 207\u003cbr\u003e\u003ci\u003eP. F. M. Teunis\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Conclusions 217\u003cbr\u003e\u003ci\u003eDavid Bussard, Peter Preuss, and Paul White\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eAuthor Index 225\u003c\/p\u003e \u003cp\u003eSubject Index 229\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402335428951,"sku":"9780470447505","price":999.99,"currency_code":"GBP","in_stock":false}],"url":"https:\/\/bookcurl.com\/products\/uncertainty-modeling-in-dose-response-9780470447505","provider":"Book Curl","version":"1.0","type":"link"}