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Uncertainty Modeling in Dose Response: Bench Testing Environmental Toxicity (Statistics in Practice)

The 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. In response to the fact that there remains no solution to the problem of quantifying uncertainty in dose response relations for toxic substances, the editor of this work has sought valuable contributions from the leaders in the field to properly tackle the issue. There is an urgent need to address the topic of uncertainty as it pertains to dose response modeling. To date, there is not even a systematic compendium of available methods, and there has been far too little systematic evaluation of the topic. This book analyzes four active substances that were vetted with the US EPA as representative of current problems. Leading contributors from the toxicology and risk assessment communities were invited to apply their methods to quantify model uncertainty in dose response for each case. The results they provided are very revealing of the properties, strengths, and weaknesses of the various approaches. In addition, all approaches were reviewed from three viewpoints: risk analyst / regulator; statistician / mathematician; and toxicologist / epidemiologist. The data sets in Chapters 2-4 are real and are proposed by the EPA as representative and relevant. In fact, each are so relevant that their names must be suppressed as each has a simple "uncertainty issue". Difficult extrapolations (subchronic-chronic, animal - human, precursor - endpoint ) are avoided. The subsequent analysis is hopefully rather straightforward, and the ultimate goal is to get the different methods known and available for further evaluation and discussion.

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	Medical Dose Finding in Drug Development (Statistics for Biology and Health) Dose Finding in Drug Development (Statistics for Biology and Health) Publisher: SpringerNumber Of Pages: 248Publication Date: 2006-03-07Sales Rank: 124323ISBN / ASIN: 0387290745EAN: 9780387290744Binding: HardcoverManufacturer ...
	Science/Engineering Geostatistics: Modeling Spatial Uncertainty (Wiley Series in Probability and Statistics) Geostatistics: Modeling Spatial Uncertainty (Wiley Series in Probability and Statistics)720 pages \| Wiley-Interscience; 1 edition (April 7, 1999) \| ISBN-10: 0471083151 \| PDF \| 31 MbA novel, practical approach to modeling spatial uncertainty ...
	Uncertainty in Industrial Practice: A Guide to Quantitative Uncertainty Management Uncertainty in Industrial PracticeWiley \| 2008-06-30 \| ISBN: 0470994479 \| 364 pages \| PDF \| 3 MBThere is a growing demand from institutional bodies for the justification of industrial methodologies and practices (e.g. safety criteria, envir ...
	Response Modeling Methodology: Empirical Modeling for Engineering and Science Haim Shore, "Response Modeling Methodology"Publisher: World Scientific Publishing Company \| 2005-04 \| ISBN 9812561021 \| PDF \| 460 pages \| 1,9 MBThis book introduces a new approach, denoted RMM, for an empirical modeling of a response variat ...
	Science/Engineering Modeling Demographic Processes in Marked Populations (Environmental and Ecological Statistics) Modeling Demographic Processes in Marked Populations (Environmental and Ecological Statistics): David L. Thomson, Evan G. Cooch, Michael J. Conroy Springer \| ISBN: 0387781501 \| 2008-12-02 \| PDF (OCR) \| 1136 pages \| 11.66 Mb This book bring ...
	Business/Investing Statistics for Environmental Science and Management, 2nd edition (Environmental Statistics) Bryan F.J. Manly, "Statistics for Environmental Science and Management, 2nd edition (Environmental Statistics)"Chapman & Hall/CRC \| 2008-10-21 \| ISBN: 142006147X \| 312 pages \| PDF \| 3,4 MBPresenting a nonmathematical approach to thi ...

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