Evidential Uncertainty in Causation in Negligence
eBook - PDF

Evidential Uncertainty in Causation in Negligence

  1. 264 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Evidential Uncertainty in Causation in Negligence

About this book

This book undertakes an analysis of academic and judicial responses to the problem of evidential uncertainty in causation in negligence. It seeks to bring clarity to what has become a notoriously complex area by adopting a clear approach to the function of the doctrine of causation within a corrective justice-based account of negligence liability. It first explores basic causal models and issues of proof, including the role of statistical and epidemiological evidence, in order to isolate the problem of evidential uncertainty more precisely. Application of Richard Wright's NESS test to a range of English case law shows it to be more comprehensive than the 'but for' test that currently dominates, thereby reducing the need to resort to additional tests, such as the Wardlaw test of material contribution to harm, the scope and meaning of which are uncertain. The book builds on this foundation to explore the solution to a range of problems of evidential uncertainty, focusing on the Fairchild principle and the idea of risk as damage, as well as the notion of loss of a chance in medical negligence which is often seen as analogous with 'increase in risk', in an attempt to bring coherence to this area of the law.

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Yes, you can access Evidential Uncertainty in Causation in Negligence by Gemma Turton in PDF and/or ePUB format, as well as other popular books in Jura & Schadenersatzrecht. We have over one million books available in our catalogue for you to explore.

Information

Year
2016
Print ISBN
9781509924486
eBook ISBN
9781509900329
Edition
1
Topic
Jura

Table of contents

  1. Acknowledgements
  2. Contents
  3. Introduction
  4. 1. Theoretical and Doctrinal Framework
  5. 2. Identifying the Proper Function of Causation
  6. 3. Proof of Causation
  7. 4. Loss of a Chance
  8. 5. The Evidentiary Gap
  9. Conclusion
  10. Bibliography
  11. Index