Multilevel modeling in epidemiology with GLIMMIX

被引：120

作者：

Witte, JS

Greenland, S

Kim, LL

Arab, L

机构：

[1] Case Western Reserve Univ, Dept Epidemiol & Biostat, Cleveland, OH 44109 USA

[2] Univ Calif Los Angeles, Sch Publ Hlth, Dept Epidemiol, Los Angeles, CA 90024 USA

[3] Univ N Carolina, Sch Publ Hlth, Dept Epidemiol, Chapel Hill, NC USA

[4] Univ N Carolina, Sch Publ Hlth, Dept Nutr, Chapel Hill, NC 27599 USA

来源：

EPIDEMIOLOGY | 2000年 / 11卷 / 06期

关键词：

breast neoplasms; diet; epidemiologic methods; logistic regression; multilevel models; odds ratio; relative risk; software;

D O I：

10.1097/00001648-200011000-00012

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Previous work has shown that multilevel modeling can be a valuable technique for epidemiologic analysis. The complexity of using this approach, however, continues to restrict its general application. A critical factor is the lack of flexible and appropriate software for multilevel modeling. SAS provides a macro, GLIMMIX, that can be used for multilever modeling, but that is not sufficient for a complete epidemiologic analysis. We here provide additional code to obtain epidemiologic output from GLIMMIX, illustrated with new data on diet and breast cancer from the European Community Multicenter Study on Antioxidants, Myocardial Infarction, and Breast Cancer (EURAMIC). Our results give epidemiologists an easily used tool for fitting multilevel models.

引用

页码：684 / 688

页数：5

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