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Causal Modeling: New Directions for Statistical Explanation

Gurol Irzik and Eric Meyer
Philosophy of Science
Vol. 54, No. 4 (Dec., 1987), pp. 495-514
Stable URL: http://www.jstor.org/stable/187747
Page Count: 20
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Causal Modeling: New Directions for Statistical Explanation
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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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