USING LOGISTIC-REGRESSION TO ESTIMATE THE ADJUSTED ATTRIBUTABLE RISK OF LOW-BIRTH-WEIGHT IN AN UNMATCHED CASE-CONTROL STUDY

被引：46

作者：

KOOPERBERG, C ^{[1
]}

PETITTI, DB ^{[1
]}

机构：

[1] UNIV CALIF BERKELEY,STAT,BERKELEY,CA 94720

来源：

EPIDEMIOLOGY | 1991年 / 2卷 / 05期

关键词：

LOW BIRTH-WEIGHT; METHODS; ATTRIBUTABLE RISK; BOOTSTRAP;

D O I：

10.1097/00001648-199109000-00009

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Other authors have shown how to estimate attributable risk based on stratification. In this paper, we show how to estimate adjusted attributable risks, standard errors, and confidence intervals from an unmatched case-control study that has population-based controls and uses the logistic regression model to estimate relative risk. We apply the method to data from a case-control study of low birthweight. The method is conceptually simple, has no assumptions beyond those of the logistic model, makes use of computer-intensive statistical techniques (the bootstrap), and extends to interactions. A Fortran computer program to carry out the computations is available from the authors upon request.

引用

页码：363 / 366

页数：4

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