Risk Analysis Foundations, Models, and Methods

Couverture
Springer Science & Business Media, 6 déc. 2012 - 556 pages
Risk Analysis: Foundations, Models, and Methods fully addresses the questions of "What is health risk analysis?" and "How can its potentialities be developed to be most valuable to public health decision-makers and other health risk managers?" Risk analysis provides methods and principles for answering these questions. It is divided into methods for assessing, communicating, and managing health risks. Risk assessment quantitatively estimates the health risks to individuals and to groups from hazardous exposures and from the decisions or activities that create them. It applies specialized models and methods to quantify likely exposures and their resulting health risks. Its goal is to produce information to improve decisions. It does this by relating alternative decisions to their probable consequences and by identifying those decisions that make preferred outcomes more likely. Health risk assessment draws on explicit engineering, biomathematical, and statistical consequence models to describe or simulate the causal relations between actions and their probable effects on health. Risk communication characterizes and presents information about health risks and uncertainties to decision-makers and stakeholders. Risk management applies principles for choosing among alternative decision alternatives or actions that affect exposure, health risks, or their consequences.
 

Table des matières

CHAPTER
1
Health Risks from Human Activities
34
Conditional Probability Framework for Risk Calculations
53
Basic Engineering Modeling Techniques
71
Introduction to Exposure Assessment
90
CHAPTER 3
132
Progress in Statistical Risk Modeling
184
Soil Sampling
200
Subjective Probability and Subjective Expected Utility SEU
334
Adaptive DecisionMaking with Unknown Models
344
CHAPTER 6
350
Intrinsic Value and Exponential Utility
358
Objective Comparisons of Risk Profiles
365
HigherOrder Stochastic Dominance and Risk Definitions
384
Conclusions
390
Applications of MAUT to Health Risks
401

CHAPTER 4
217
Criteria for Causation
224
CHAPTER 5
239
Testing Causal Graph Models with Data
240
Using Causal Graphs in Risk Analysis
269
Attributable Risks in Causal Graphs
283
Conclusions
299
Individual Risk Management Decisions
301
Rational Individual RiskManagement via Expected Utility EU
307
EU Theory Challenges and Alternatives to EU Theory
321
Risk Equity
411
Choosing Among Temporal Prospects
419
Conclusions
438
Modern Utilitarianism
453
TwoPerson Games of Risk Management
461
Property Rights and Risk Externalities
488
Introduction to Risk Communication
504
Conclusion
512
Index
545
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