USE OF LOGISTIC MODEL IN RETROSPECTIVE STUDIES
USE OF LOGISTIC MODEL IN RETROSPECTIVE STUDIES
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DOI：
10.2307/2529748
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发表时间：
1976-01-01
期刊：
影响因子：
1.9
通讯作者：
PRENTICE, R
中科院分区：
文献类型：
--
作者：
PRENTICE, R
逻辑回归模型用于研究二分暴露变量与疾病之间的关联。该方法考虑到可能混淆的关联的因素，并导致定量研究的影响因素相关的关联的强度。特殊的结果匹配对数据。一项关于绝经后雌激素使用与子宫内膜癌的病例对照研究提供了例证。
A logistic regression model is used to study the association between a dichotomous exposure variable and a disease. The method takes into account factors that may confound the association and leads to a quantitative study of the influence of factors related to the strength of the association. Special results are given for matched pair data. A case-control study relating [human] postmenopausal estrogen use and endometrial cancer provides illustration.