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Causal Modeling and the Statistical Analysis of Causation
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
You can always find the topics here!Topics: Statistical models, Causation, Causality, Parametric models, Modeling, Causal law, Statistics, Statistical relevance model, Correlation coefficients, Correlations
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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.
PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association © 1986 The University of Chicago Press