Application of the missing-indicator method in matched case-control studies with incomplete data

被引：0
|
作者：
Huberman, M [1 ]
Langholz, B [1 ]
机构：
[1] Univ So Calif, Keck Sch Med, Dept Prevent Med, Los Angeles, CA 90033 USA
来源：
AMERICAN JOURNAL OF EPIDEMIOLOGY | 1999年 / 150卷 / 12期
关键词：
biometry; case-control studies; epidemiologic methods; logistic models; matched pair analysis; odds ratio; regression analysis; risk assessment;
D O I：
暂无
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
A common practice in matched case-control studies with incomplete data is to perform two analyses in parallel: a matched analysis of the complete pairs and an unmatched analysis of all subjects carried out after breaking the matching in the complete pairs. The missing-indicator method, which has the advantage of making use of the data in the incomplete pairs while still preserving the matching in the complete pairs, is recommended as an alternative method of analysis, it is shown here that its estimate of the odds ratio is a compromise between the odds ratios estimated by a matched analysis of the complete pairs and an unmatched analysis of the incomplete pairs. The method is illustrated using data from a matched case-control study of the risk of childhood leukemia from exposure to residential electric and magnetic fields.
引用
收藏
页码：1340 / 1345
页数：6
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