In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in
our causal investigations in the sciences. There is no doubt that the sciences employ a vast …

This book seeks to integrate research on cause and effect inference from cognitive science,
econometrics, epidemiology, philosophy, and statistics. It puts forward the work of its author …

Written by one of the preeminent researchers in the field, this book provides a
comprehensive exposition of modern analysis of causation. It shows how causality has …

Some of the chief goals of science-understanding, explanation, prediction, and application
in new technologies-can only be conducted with any purpose if the world has some …

There is a need for integrated thinking about causality, probability and mechanisms in
scientific methodology. Causality and probability are long-established central concepts in …

In Making Things Happen, James Woodward develops a new and ambitious comprehensive
theory of causation and explanation that draws on literature from a variety of disciplines and …

This article provides an overview of causal thinking by characterizing four approaches to
causal inference. It also describes the INUS model. It specifically presents a user-friendly …

Causation is at once familiar and mysterious. Many believe that the causal relation is not
directly observable, but that we nevertheless can somehow detect its presence in the world …

Seeing and Doing: the Concept of Causation Page 1 Inrernarwnal Srarisrical Revitw (2002).
70,2. Rinted in The Netherim& @ hlemational Sratistical InstiNle Seeing and Doing: the …

The statistical and econometrics literature on causality is more focused on" effects of causes"
than on" causes of effects." That is, in the standard approach it is natural to study the effect of …