Gillies Causality, Probability, and Medicine

1. Auflage 2018
ISBN: 978-1-317-56428-7
Verlag: CRC Press
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 316 Seiten

Why is understanding causation so important in philosophy and the social sciences? Should causation be defined in terms of probability? Whilst causation plays a major role in theories and concepts of medicine little attempt has been made to connect causation and probability with medicine itself.

Causality, Probability and Philosophy of Medicine is one of the first books to apply philosophical reasoning about causality to important topics and debates in medicine. Donald Gillies provides a thorough introduction to and assessment of competing theories of causality in philosophy, including action-related theories, causality and mechanisms and causality and probability. Throughout the book he applies them to important discoveries and theories within medicine, such as germ theory; anthrax, tuberculosis, and cholera; smoking and heart disease; the first ever RCT designed to test for treatent of tuberculosis; the growing area of philosophy of evidence-based medicine; and philosophy of epedemiology.

This book will be of great interest to students and researchers in philosophy of science and philosophy of medicine, as well as those working in medicine, nursing and related health disciplines where a working knowledge of causality and probability is required.

Autoren/Hrsg.

Gillies, Donald

Fachgebiete

• Geisteswissenschaften Philosophie Philosophie: Allgemeines, Methoden

Inhaltsverzeichnis

Introduction

Part 1: Causality and Action

1. An action-related theory of causality

2. General discussion of AIM theories of causality

3. An example from medicine. Koch’s work on bacterial diseases and his postulates

Part 2: Causality and Mechanisms

4. Mechanistic theories of causality and causal theories of mechanism

5. Types of evidence: (i) evidence of mechanism

6. Types of evidence: (ii) statistical evidence in human populations

7. Combining statistical evidence with evidence of mechanism

8. The Russo-Williamson thesis: (i) effects of smoking on health

9. The Russo-Williamson thesis: (ii) the streptomycin case

10. Objections to the Russo-Williamson thesis

11. Discovering cures in medicine and seeking for deeper explanations

Part 3: Causality and Probability

12. Indeterministic causality

13. Causal networks

14. How should probabilities be interpreted?

15. Pearl’s alternative approach to linking causality and probability

16. Extension of the action-related theory to the indeterministic case

Appendix 1. Example of a simple medical intervention which is not an intervention in Woodward’s sense

Appendix 2. Mathematical Terminology

Appendix 3. Sudbury’s Theorems.

Glossary of Medical Terms

Notes

References

Index