• Philosophy of epidemiology
  • Record Type: Electronic resources : monographic
    Author: BroadbentAlex, 1980-
    Place of Publication: Basingstoke
    Published: Palgrave Macmillan;
    Year of Publication: 2013
    Description: 1 online resource
    Series: New directions in the philosophy of science
    Subject: Epidemiology - Philosophy. -
    Subject: MEDICAL / Epidemiology -
    Subject: MEDICAL / Health Risk Assessment -
    Online resource: http://www.palgraveconnect.com/doifinder/10.1057/9781137315601
    Notes: Description based on publisher supplied information
    Summary: Epidemiology, the study of population health by means of group comparisons, is of increasing importance to health policy and medicine, but it has never before received sustained philosophical attention. This book is the first comprehensive philosophical treatment of the science of epidemiology, drawing together material on causation, causal inference, prediction, the interpretation of effect measures, the nature of disease, and legal uses of epidemiological evidence. Old philosophical problems are seen from new angles, especially general causation, causal explanation, and the use of causal knowledge to predict. The conceptual development of epidemiology is invigorated by a critical examination of foundational doctrines. Causal inference, interaction, the interpretation of measures of attributability, risk relativism, and the notion of multifactorial disease are all scrutinized. The attempted use of epidemiological evidence in legal context is also analyzed, along with the philosophical problems it throws up. This book is essential reading for any professional or lay reader with an interest in understanding the conceptual and methodological foundations of epidemiology, as well as its difficulties.
    ISBN: 9781137315601electronic bk.
    ISBN: 1137315601electronic bk.
    Content Note: 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.
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