Should we risk it?: exploring environmental, health, and technological problem solving

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