Assessing Causes for Individuals
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 suffi...
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| Format: | Article in Journal/Newspaper |
| Language: | unknown |
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| Online Access: | http://smr.sagepub.com/content/43/3/391.abstract |
| Summary: | 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. statistics; causal inference; probability of necessity; probability of sufficiency; causation |
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