Causal modeling: New directions for statistical explanation

Philosophy of Science 54 (4):495-514 (1987)
Causal modeling methods such as path analysis, used in the social and natural sciences, are also highly relevant to philosophical problems of probabilistic causation and statistical explanation. We show how these methods can be effectively used (1) to improve and extend Salmon's S-R basis for statistical explanation, and (2) to repair Cartwright's resolution of Simpson's paradox, clarifying the relationship between statistical and causal claims
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI 10.1086/289402
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history
Request removal from index
Download options
Our Archive

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 27,621
Through your library
References found in this work BETA

No references found.

Add more references

Citations of this work BETA
Probabilistic Causality Reexamined.Greg Ray - 1992 - Erkenntnis 36 (2):219 - 244.

Add more citations

Similar books and articles

Monthly downloads

Added to index


Total downloads

49 ( #106,451 of 2,169,086 )

Recent downloads (6 months)

1 ( #345,851 of 2,169,086 )

How can I increase my downloads?

My notes
Sign in to use this feature

There  are no threads in this forum
Nothing in this forum yet.

Other forums