Wickramaratne P J, Holford T R
Yale University School of Medicine, Department of Psychiatry, New Haven, Connecticut 06519.
Biometrics. 1987 Dec;43(4):751-65.
A model for confounding in epidemiologic studies is developed based on the adequacy of the "control" group, instead of the widely used criterion of collapsibility, as a measure of confounding. It is shown that conditions for no confounding in both cohort and case-control studies derived under this model generally agree with the conditions for confounding derived inductively by Miettinen and Cook (1981, American Journal of Epidemiology 114, 593-603). The concept of confounding on which this model is based is compared with the collapsibility criterion in terms of its utility in the design and analysis of epidemiologic studies.
基于“对照”组的充分性，而非广泛使用的可压缩性标准，开发了一种流行病学研究中混杂因素的模型，以此作为混杂因素的一种衡量方法。结果表明，在此模型下得出的队列研究和病例对照研究中无混杂因素的条件，通常与米耶蒂宁和库克（1981年，《美国流行病学杂志》114卷，593 - 603页）归纳得出的混杂因素条件一致。将此模型所基于的混杂因素概念与可压缩性标准在流行病学研究的设计和分析中的效用进行了比较。
