目次

Part 1. Concepts and Methods of Causal Analytics.- Chapter 1. Causal Analytics and Risk Analytics.- Chapter 2. Causal Concepts, Principles, and Algorithms.- Part 2. Descriptive Analytics in Public and Occupational Health.- Chapter 3. Descriptive Analytics for Public Health: Socioeconomic and Air Pollution Correlates of Adult Asthma, Heart Attack, and Stroke Risks.- Chapter 4. Descriptive Analytics for Occupational Health: Is Benzene Metabolism in Exposed Workers More Efficient at Very Low Concentrations?- Chapter 5. How Large are Human Health Risks Caused by Antibiotics Used in Food Animals?- Chapter 6. Quantitative Risk Assessment of Human Risks of Methicillin-Resistant Staphylococcus aureus (MRSA) Caused by Swine Operations Part 3. Predictive and Causal Analytics.- Chapter 7. Attributive Causal Modeling: Quantifying Human Health Risks Caused by Toxoplasmosis From Open System Production Of Swine.- Chapter 8. How Well Can High-Throughput Screening Test Results Predict Whether Chemicals Cause Cancer in Mice and Rats?- Chapter 9. Mechanistic Causality: Biological Mechanisms of Dose-Response Thresholds for Inflammation-Mediated Diseases Caused by Asbestos Fibers and Mineral Particles.- Part 4. Evaluation Analytics.- Chapter 10. Evaluation Analytics for Public Health: Has Reducing Air Pollution Reduced Mortality in the United States?- Chapter 11. Evaluation Analytics for Occupational health: How accurately and consistently do laboratories measure workplace concentrations of respirable crystalline silica?- Part 5. Risk Management: Insights from Prescriptive, Learning, and Collaborative Analytics.- Chapter 12. Improving individual, group and organizational decisions: Overcoming learning aversion in evaluating and managing uncertain risks.- Chapter 13. Improving organizational risk management: From Lame Excuses to Principled Practice.- Chapter 14. Improving institutions of risk management: Uncertain causality and judicial review of regulations.- Chapter 15. Intergenerational justice in protective and resilience investments with uncertain future preferences and resources.