Causal Modeling and the Statistical Analysis of Causation
PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:12 - 23 (1986)
| 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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Gurol Irzik & Eric Meyer (1987). Causal Modeling: New Directions for Statistical Explanation. Philosophy of Science 54 (4):495-514.
Frederick S. Elett & David P. Ericson (1986). An Analysis of Probabilistic Causation in Dichotomous Structures. Synthese 67 (2):175-193.
Frederick S. Ellett Jr & David P. Ericson (1986). An Analysis of Probabilistic Causation in Dichotomous Structures. Synthese 67 (2):175 - 193.
Judea Pearl (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press.
Luke Glynn (forthcoming). Of Miracles and Interventions. Erkenntnis:1-22.
Lorenz Kruger (1976). Are Statistical Explanations Possible? Philosophy of Science 43 (1):129-146.
Christopher Hitchcock, Probabilistic Causation. Stanford Encyclopedia of Philosophy.
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Jochen Kluve (2004). On the Role of Counterfactuals in Inferring Causal Effects. Foundations of Science 9 (1):65-101.
M. J. Nathan (forthcoming). Causation by Concentration. British Journal for the Philosophy of Science.
Jig-Chuen Lee (1986). Causal Condition, Causal Asymmetry, and the Counterfactual Analysis of Causation. Synthese 67 (2):213 - 223.
Clark Glymour & Richard Scheines (1986). Causal Modeling with the TETRAD Program. Synthese 68 (1):37 - 63.
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