Causal modeling: New directions for statistical explanation

Philosophy of Science 54 (4):495-514 (1987)

Authors
Gurol Irzik
Sabanci University
Abstract
Causal modeling methods such as path analysis, used in the social and natural sciences, are also highly relevant to philosophical problems of probabilistic causation and statistical explanation. We show how these methods can be effectively used (1) to improve and extend Salmon's S-R basis for statistical explanation, and (2) to repair Cartwright's resolution of Simpson's paradox, clarifying the relationship between statistical and causal claims
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DOI 10.1086/289402
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Can Causes Be Reduced to Correlations?Gürol Irzik - 1996 - British Journal for the Philosophy of Science 47 (2):249-270.
Probabilistic Causality Reexamined.Greg Ray - 1992 - Erkenntnis 36 (2):219 - 244.

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