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Causal Modeling and the Statistical Analysis of Causation

Gurol Irzik
PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association
Vol. 1986, Volume One: Contributed Papers (1986), pp. 12-23
Stable URL: http://www.jstor.org/stable/193103
Page Count: 12
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Causal Modeling and the Statistical Analysis of Causation
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Abstract

Recent philosophical studies of probabilistic causation and statistical explanation have opened up the possibility of unifying philosophical approaches with causal modeling as practiced in the social and biological sciences. This unification rests upon the statistical tools employed, the principle of common cause, the irreducibility of causation to statistics, and the idea of causal process as a suitable framework for understanding causal relationships. These four areas of contact are discussed with emphasis on the relevant aspects of causal modeling.

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