Alex Broadbent is an Associate Professor at the University of Johannesburg, South Africa. Formerly he lectured and studied at the University of Cambridge. He is devoted to bringing philosophical reasoning to bear on practical problems, and has published in philosophy, epidemiology and legal theory journals.

• Preface Acknowledgements Abbreviations Glossary 1. Why Philosophy of Epidemiology? 2. Philosophical and Epidemiological Basics 3. The Causal Interpretation Problem 4. Causal Inference, Translation, and Stability 5. Stable Causal Inference 6. Prediction 7. Making and Assessing Epidemiological Predictions 8. Puzzles of Attributability 9. Risk Relativism, Interaction, and the Shadow of Physics 10. Multifactorialism and Beyond 11. Epidemiology and the Law 12. Conclusion: Thinking is Good For You Notes Cases References Index

Alex Broadbent is an Associate Professor at the University of Johannesburg, South Africa. Formerly he lectured and studied at the University of Cambridge. He is devoted to bringing philosophical reasoning to bear on practical problems, and has published in philosophy, epidemiology and legal theory journals.

• Preface Acknowledgements Abbreviations Glossary 1. Why Philosophy of Epidemiology? 2. Philosophical and Epidemiological Basics 3. The Causal Interpretation Problem 4. Causal Inference, Translation, and Stability 5. Stable Causal Inference 6. Prediction 7. Making and Assessing Epidemiological Predictions 8. Puzzles of Attributability 9. Risk Relativism, Interaction, and the Shadow of Physics 10. Multifactorialism and Beyond 11. Epidemiology and the Law 12. Conclusion: Thinking is Good For You Notes Cases References Index

Alex Broadbent is an Associate Professor at the University of Johannesburg, South Africa. Formerly he lectured and studied at the University of Cambridge. He is devoted to bringing philosophical reasoning to bear on practical problems, and has published in philosophy, epidemiology and legal theory journals.

• Preface Acknowledgements Abbreviations Glossary 1. Why Philosophy of Epidemiology? 2. Philosophical and Epidemiological Basics 3. The Causal Interpretation Problem 4. Causal Inference, Translation, and Stability 5. Stable Causal Inference 6. Prediction 7. Making and Assessing Epidemiological Predictions 8. Puzzles of Attributability 9. Risk Relativism, Interaction, and the Shadow of Physics 10. Multifactorialism and Beyond 11. Epidemiology and the Law 12. Conclusion: Thinking is Good For You Notes Cases References Index