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Risk Analysis of Complex and Uncertain Systems

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Table of Contents

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    Book Overview
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    Chapter 1 Quantitative Risk Assessment Goals and Challenges
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    Chapter 2 Introduction to Engineering Risk Analysis
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    Chapter 3 Introduction to Health Risk Analysis
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    Chapter 4 Limitations of Risk Assessment Using Risk Matrices
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    Chapter 5 Limitations of Quantitative Risk Assessment Using Aggregate Exposure and Risk Models
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    Chapter 6 Identifying Nonlinear Causal Relations in Large Data Sets
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    Chapter 7 Overcoming Preconceptions and Confirmation Biases Using Data Mining
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    Chapter 8 Estimating the Fraction of Disease Caused by One Component of a Complex Mixture: Bounds for Lung Cancer
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    Chapter 9 Bounding Resistance Risks for Penicillin
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    Chapter 10 Confronting Uncertain Causal Mechanisms – Portfolios of Possibilities
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    Chapter 11 Determining What Can Be Predicted: Identifiability
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    Chapter 12 Predicting the Effects of Changes: Could Removing Arsenic from Tobacco Smoke Significantly Reduce Smoker Risks of Lung Cancer?
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    Chapter 13 Simplifying Complex Dynamic Networks: A Model of Protease Imbalance and COPD Dynamic Dose-Response
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    Chapter 14 Value of Information (VOI) in Risk Management Policies for Tracking and Testing Imported Cattle for BSE
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    Chapter 15 Improving Antiterrorism Risk Analysis
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    Chapter 16 Designing Resilient Telecommunications Networks
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