Adjusting for confounding by cluster using generalized linear mixed models

被引：48

作者：

Brumback, Babette A. ^{[1
]}

Dailey, Amy B. ^{[1
]}

Brumback, Lyndia C. ^{[2
]}

Livingston, Melvin D. ^{[1
]}

He, Zhulin ^{[1
]}

机构：

[1] Univ Florida, Dept Epidemiol & Biostat, Coll Publ Hlth & Hlth Profess, Gainesville, FL 32611 USA

[2] Univ Washington, Sch Publ Hlth, Dept Biostat, Seattle, WA 98195 USA

来源：

STATISTICS & PROBABILITY LETTERS | 2010年 / 80卷 / 21-22期

关键词：

Model-based standardization; Conditional likelihood; Misspecified mixing distribution; Prediction of random effects; Causal inference; LONGITUDINAL DATA;

D O I：

10.1016/j.spl.2010.07.006

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We show how to use generalized linear mixed models to adjust for confounding by cluster of the effect of a within-cluster covariate. We derive estimators for both a cluster-specific causal effect and a population-averaged causal effect. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：1650 / 1654

页数：5

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