An introduction to instrumental variables for epidemiologists

被引：734

作者：

Greenland, S ^{[1
]}

机构：

[1] Univ Calif Los Angeles, Sch Publ Hlth, Dept Epidemiol, Los Angeles, CA 90095 USA

来源：

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY | 2000年 / 29卷 / 04期

关键词：

biometry; causal models; compliance; confounding; econometrics; epidemiological methods; instrumental variables; measurement error; misclassification; regression; regression calibration; statistics;

D O I：

10.1093/ije/29.4.722

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Instrumental-variable (IV) methods were invented over 70 years ago, but remain uncommon in epidemiology. Over the past decade or so, non-parametric versions of IV methods have appeared that connect IV methods to causal and measurement-error models important in epidemiological applications. This paper provides an introduction to those developments, illustrated by an application of IV methods to non-parametric adjustment for non-compliance in randomized trials.

引用

页码：722 / 729

页数：8

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