Environmental and Health Risk Assessment and Management: Principles and Practices / Edition 1by Paolo Ricci, P. F. Ricci
Pub. Date: 12/14/2005
Publisher: Springer Netherlands
This book is about the legal, economical, and practical assessment and management of risky activities arising from routine, catastrophic environmental and occupational exposures to hazardous agents. It includes a discussion of aspects of US and European Union law concerning risky activities, and then develops the economic analyses that are relevant to implementing… See more details below
This book is about the legal, economical, and practical assessment and management of risky activities arising from routine, catastrophic environmental and occupational exposures to hazardous agents. It includes a discussion of aspects of US and European Union law concerning risky activities, and then develops the economic analyses that are relevant to implementing choices within a supply and demand framework. The book also discusses exposure-response and time-series models used in assessing air and water pollution, as well as probabilistic cancer models, including toxicological compartmental, pharmaco-kinetic models and epidemiological relative risks and odds ratios-based models. Statistical methods to measure agreement, correlation and discordance are also developed. The methods and criteria of decision-analysis, including several measures of value of information (VOI) conclude the expositions. This book is an excellent text for students studying risk assessment and management.
Table of ContentsChapter 1. Legal Principles, Uncertainty, and Variability In Risk Assessment and Management.-
Chapter 2. Sustainability and Making Decisions Under Uncertainty.-
Chapter 3. Risk, Cost, and Benefit Analysis (Rcba) In Risk Assessment and Management.
Chapter 4. Exposure-Response Models For Risk Assessment.-
Chapter 5. Probabilistic Dose-Response Models and Concepts of Toxicology.-
Chapter 6. Monte Carlo, Bootstraps and Other Methods to Quantify or Propagate Variability and Uncertainty.-
Chapter 7. Causal Models: Influence Diagrams, Bayesian Networks, Classification and Regression Trees.-
Chapter 8. Meta-Analysis, Pooling Sample Data, and Statistical Decision Rules.-
Chapter 9. Contingency Tables In Risk Assessment and Management.-
Chapter 10. Statistical Associations and Causation For Risk Assessment and Management.-
Chapter 11. Risk Assessment Frameworks, Calculations Of Risk and Toxicological Doses.-
Chapter 12. Practical Analysis Of Decisions For Risk Management.-
References. Glossary. List Of Symbols. Index.
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