Abstract: 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
Publication Year: 1992
Publication Date: 1992-01-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 262
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