THE CONCEPT OF RESIDUAL CONFOUNDING IN REGRESSION-MODELS AND SOME APPLICATIONS
THE CONCEPT OF RESIDUAL CONFOUNDING IN REGRESSION-MODELS AND SOME APPLICATIONS
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DOI：
10.1002/sim.4780111308
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发表时间：
1992-09-30
影响因子：
2
通讯作者：
BECHER, H
中科院分区：
文献类型：
--
作者：
BECHER, H
本文将残差混杂的概念推广到Logistic回归和考克斯回归等各种回归模型中。在模型的回归参数上定义了残差混杂和一个新的参数--相对残差混杂。估计量给出了通过不完全调整去除的混杂的比例。这个概念量化了分类连续协变量和模型误设的影响。通过模拟研究和流行病学调查的数据对这些问题进行了调查。喉癌的病例对照研究是用来说明残留的混杂效应的任意转换的一个连续的混杂因素，吸烟，饮酒对喉癌的风险的影响。数据还显示，分类为两个水平可能会产生高残留混杂。本文所描述的参数在量化混杂变量调整不充分的影响方面有一定的用处。
In this paper the concept of residual confounding is generalized to various types of regression models such as logistic regression or Cox regression. Residual confounding and a newly suggested parameter, the relative residual confounding, are defined on the regression parameters of the models. The estimator gives the proportion of confounding which has been removed by incomplete adjustment. The concept quantifies the effects of categorizing continuous covariables and of model misspecification. These are investigated by a simulation study and with data from an epidemiological investigation. A case-control study of laryngeal cancer is used to illustrate the residual confounding effect of arbitrary transformation of a continuous confounder, smoking, on the effect of alcohol consumption on laryngeal cancer risk. The data also showed that categorization into two levels can yield high residual confounding. The parameters described in this paper are of some use in quantifying the effect of inadequate adjustment for confounding variables.