Jump to ContentJump to Main Navigation
Causality in the Sciences
Users without a subscription are not able to see the full content.

Causality in the Sciences

Phyllis McKay Illari, Federica Russo, and Jon Williamson

Abstract

There is a need for integrated thinking about causality, probability, and mechanism in scientific methodology. A panoply of disciplines, ranging from epidemiology and biology through to econometrics and physics, routinely make use of these concepts to infer causal relationships. But each of these disciplines has developed its own methods, where causality and probability often seem to have different understandings, and where the mechanisms involved often look very different. This variegated situation raises the question of whether progress in understanding the tools of causal inference in some ... More

Keywords: causality, causal inference, probability, mechanism, philosophy of science, epistemology, metaphysics

Bibliographic Information

Print publication date: 2011 Print ISBN-13: 9780199574131
Published to Oxford Scholarship Online: September 2011 DOI:10.1093/acprof:oso/9780199574131.001.0001

Authors

Affiliations are at time of print publication.

Phyllis McKay Illari, editor
Research Fellow, University of Kent
Author Webpage

Federica Russo, editor
Research Associate, University of Kent
Author Webpage

Jon Williamson, editor
Professor of Reasoning, Inference and Scientific Method, University of Kent
Author Webpage

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.

Contents

View:

Part I Introduction

Part II Health sciences

Part III Psychology

PART IV Social sciences

PART V Natural sciences

PART VI Computer science, probability, and statistics

PART VII Causality and mechanisms

End Matter