文章基本信息

标题：An Introduction to the Use of Linear Models with Correlated Data
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作者：Benoît Laplante ; Benoît-Paul Hébert
期刊名称：Canadian Studies in Population
印刷版ISSN：1927-629X
出版年度：2001
卷号：28
期号：2
页码：287-311
出版社：Population Research Laboratory, University of Alberta
摘要：Correlated data originate when observations are not selected independently because of sampling design, study design (especially panel studies), or spatial distribution of the population. In these situations, conventional methods for estimating the parameters of linear models are inappropriate, and the conventional methods for estimating the variances of these estimates may yield biased results. These two problems are different, but they are related. This paper provides an introduction to the problems caused by correlated data and to possible solutions to these problems. First, we present the two problems and try to specify the relations between the two as clearly as possible. Second, we provide a critical presentation of random effects, mixed effects and hierarchical models that would help researchers to see their relevance in other kinds of linear models, particularly the so-called measurement models.