Affiliation:
1. Department of Statistics, Division of Biostatistics, University of California, Berkeley, CA, USA
Abstract
In commenting on Dawid, Faigman, and Fienberg, the author contrasts the proposed parameter, the probability of causation, to other parameters in the causal inference literature, specifically the probability of necessity discussed by Pearl, and Robins and Greenland, and Pearl’s probability of sufficiency. This article closes with a few comments about the difficulties of estimation of parameters related to individual causation.
Subject
Sociology and Political Science,Social Sciences (miscellaneous)
Cited by
2 articles.
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