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A logical foundation for the minimal sufficient cause model

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  • Aickin, Mikel

Abstract

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.

Suggested Citation

  • Aickin, Mikel, 1998. "A logical foundation for the minimal sufficient cause model," Statistics & Probability Letters, Elsevier, vol. 39(3), pages 271-281, August.
    • Handle: RePEc:eee:stapro:v:39:y:1998:i:3:p:271-281
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    Cited by:

    1. Mikel Aickin, 2001. "Graphics for the Minimal Sufficient Cause Model," Quality & Quantity: International Journal of Methodology, Springer, vol. 35(1), pages 49-60, February.

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