Causality, Probability, and Medicine

ISBN-13: 9781138829305 / Angielski / Miękka / 2018 / 300 str.

Donald Gillies

Opis

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. It 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.

Spis treści

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 evaluation of streptomycin and thalidomide  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  Index

O autorze

Donald Gillies is Emeritus Professor of Philosophy of Science and Mathematics at University College London, UK.