Risk Analysis of Complex and Uncertain Systems

1 INTRODUCTION TO RISK ANALYSIS.- Quantitative Risk Assessment Goals and Challenges.- to Engineering Risk Analysis.- to Health Risk Analysis.- 2 AVOIDING BAD RISK ANALYSIS.- Limitations of Risk Assessment Using Risk Matrices.- Limitations of Quantitative Risk Assessment Using Aggregate Exposure and Risk Models.- 3 PRINCIPLES FOR DOING BETTER.- Identifying Nonlinear Causal Relations in Large Data Sets.- Overcoming Preconceptions and Confirmation Biases Using Data Mining.- Estimating the Fraction of Disease Caused by One Component of a Complex Mixture: Bounds for Lung Cancer.- Bounding Resistance Risks for Penicillin.- Confronting Uncertain Causal Mechanisms – Portfolios of Possibilities.- Determining What Can Be Predicted: Identifiability.- 4 APPLICATIONS AND EXTENSIONS.- Predicting the Effects of Changes: Could Removing Arsenic from Tobacco Smoke Significantly Reduce Smoker Risks of Lung Cancer?.- Simplifying Complex Dynamic Networks: A Model of Protease Imbalance and COPD Dynamic Dose-Response.- Value of Information (VOI) in Risk Management Policies for Tracking and Testing Imported Cattle for BSE.- Improving Antiterrorism Risk Analysis.- Designing Resilient Telecommunications Networks.