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
收藏
页码：1650 / 1654
页数：5
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