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混杂因素的经典、可压缩性和反事实概念中的共性。

Commonalities in the classical, collapsibility and counterfactual concepts of confounding.

作者信息

Newman Stephen C

机构信息

Department of Psychiatry, Mackenzie Centre, University of Alberta, Edmonton, Alberta T6G 2B7, Canada.

出版信息

J Clin Epidemiol. 2004 Apr;57(4):325-9. doi: 10.1016/j.jclinepi.2003.07.014.

Abstract

OBJECTIVES

Three definitions of confounding are available in the epidemiologic literature, namely, the classical, collapsibility, and counterfactual. The classical and collapsibility definitions are intuitively appealing but, especially in the case of the latter, there are shortcomings. The more recent counterfactual definition overcomes these limitations but at the cost of increased abstraction. One of the aims of this article is to demonstrate that under certain conditions the three definitions of confounding have key features in common.

CONCLUSIONS

The counterfactual definition of confounding addresses the inherent shortcomings of the classical and collapsibility definitions, and forms the basis of innovative methods of data analysis.

摘要

目的

流行病学文献中有三种关于混杂的定义,即经典定义、可压缩性定义和反事实定义。经典定义和可压缩性定义直观上很有吸引力,但尤其是后者存在缺陷。较新的反事实定义克服了这些局限性,但代价是抽象性增加。本文的目的之一是证明在某些条件下,三种混杂定义具有共同的关键特征。

结论

混杂的反事实定义解决了经典定义和可压缩性定义的固有缺陷,并构成了创新数据分析方法的基础。

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