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Causality: Some Statistical Aspects
D. R. Cox
Journal of the Royal Statistical Society. Series A (Statistics in Society)
Vol. 155, No. 2 (1992), pp. 291-301
Stable URL: http://www.jstor.org/stable/2982962
Page Count: 11
You can always find the topics here!Topics: Causality, Observational studies, Regression coefficients, Statism, Regression analysis, Blood pressure, Random allocation, Causation, Additivity, Statistical models
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After some brief historical comments on statistical aspects of causality two current views are outlined and their limitations sketched. One definition is that causality is a statistical association that cannot be explained away by confounding variables and the other is based on a link with notions in the design of experiments. The importance of underlying processes or mechanisms is stressed. Implications for empirical statistical analysis are discussed.
Journal of the Royal Statistical Society. Series A (Statistics in Society) © 1992 Royal Statistical Society