Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- 1 Introduction -- Defining Risk -- Structure of the Book -- Risk Analysis and Public Policy -- Problem 1-1. Getting Started -- Problem 1-2. Data Needs -- Problem 1-3. Using Data -- Problem I-A. Additional Cases -- Problem I-B. Additional Curves -- Problem l-C. Does the Dose Make the Poison? -- Problem I-D. One in a Million Risks -- Problem I-E. Surfing and Smoking -- Problem I-F. Risks of Nuclear Power -- References -- 2 Basic Models and Risk Problems -- Introduction -- Basic Modeling -- Problem 2-1. Volatile Organic Emissions from Household Materials: Wallpaper Glue -- Problem 2-2. Indoor Radon Exposure -- Problem 2-A. Problem 2-2 Revisited -- Problem 2-B. Equilibrium Concentration -- Problem 2-3. Simple PBPK Model-Continuous Dose -- Problem 2-C. Alternative Depictions -- Problem 2-4. PBPK-Finite Dose of Barium -- Problem 2-D. How Much Resolution Is Too Much? -- Problem 2-E. How Much Information Is Needed? -- Problem 2-F. Sensitivity Analysis -- Cause and Effect Relationships -- Problem 2-5. Radon and Cancer -- Mechanistic Models and Curve Fitting -- Problem 2-6. Conceiving "Mechanistic" Models -- Problem 2-7. Using the Wrong Mode~ Getting the Model Wrong -- Problem 2-8. Empirically Derived Dose Response -- Problem 2-9. Earthquakes versus Traffic Risks -- Conclusion -- References -- 3 Review of Statistics for Risk Analysis -- Introduction: Statistics and the Philosophy of Risk Assessment -- Problem 3-1. Average Radon Exposure -- Problem 3-A. Radon Exposures in Different Regions -- Problem 3-2. Working with Data -- Problem 3-3. Mean and Median: Why Wony? -- Problem 3-4. Sample Data Revisited -- Problem 3-5. Hypothesis Testing and Confidence Intervals -- Problem 3-6. Making Decisions -- Distributions -- Problem 3-7. Moving Away from Ignorance
In: Princeton paperbacks
"How dangerous is smoking? What are the risks of nuclear power or of climate change? What are the chances of dying on an airplane? More importantly, how do we use this information once we have it? The demand for risk analysts who are able to answer such questions has grown exponentially in recent years. Yet programs to train these analysts have not kept pace. In this book, Daniel Kammen and David Hassenzahl address that problem. They draw together, organize, and seek to unify previously disparate theories and methodologies connected with risk analysis for health, environmental, and technological problems. They also provide a rich variety of case studies and worked problems, meeting the growing need for an up-to-date book suitable for teaching and individual learning."--Jacket
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