A logical foundation for the minimal sufficient cause model

Rothman's minimal sufficient cause model can be systematically developed as a method for discussing and evaluating causation. The simplest model in terms of binary factors is developed here, including issues of parametrization, which lead to Sheps' measure of excess occurrence. Two examples show how the ideas apply in concrete cases. The notion of alternative realities is used to link population-specific equations to general causal constraints.

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Year of publication:	1998
Authors:	Aickin, Mikel
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 39.1998, 3, p. 271-281
Publisher:	Elsevier
Subject:	Epidemiology Disease causation Sheps' measure

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005254367