Effects of the use of unreliable surrogate variables on the validity of epidemiologic research studies.
Effects of the use of unreliable surrogate variables on the validity of epidemiologic research studies.
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使用不可靠的替代变量对流行病学研究有效性的影响。
DOI：
10.1093/oxfordjournals.aje.a113926
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发表时间：
1984
影响因子：
5
通讯作者：
L. Kupper
中科院分区：
文献类型：
--
作者：
L. Kupper
当流行病学研究中的某些关键因素无法直接测量时，流行病学家经常转向使用替代变量。对调整后的疾病相关参数（例如，部分相关性）被描述为替代变量的不可靠程度的函数，替代变量用于替代潜在疾病、暴露和真实的感兴趣的混杂因素。结果表明，不可靠的替代混杂因素更容易产生严重的误导性推论比不可靠的疾病和暴露的替代措施。讨论了处理不完全可靠的代理变量的实用方法。
When certain key factors of interest in epidemiologic research studies cannot be measured directly, epidemiologists often turn to the use of surrogate variables. The potential bias in making statistical inferences about an adjusted exposure-disease association parameter (e.g., a partial correlation) is described as a function of the degree of unreliability in the surrogate variables used in place of the underlying disease, exposure, and confounding factors of real interest. It is shown that unreliability in the surrogate confounder is much more apt to produce seriously misleading inferences than is unreliability in the surrogate measures for disease and exposure. Practical methods are discussed for dealing with less than perfectly reliable surrogate variables.