Research article summary (published 30 Aug 1997):

Linear mixed models with heterogeneous within-cluster variances.

Full Abstract

This paper describes an extension of linear mixed models to allow for heterogeneous within-cluster variances in the analysis of clustered data. Unbiased estimating equations based on quasilikelihood/pseudolikelihood and method of moments are introduced and are shown to give consistent estimators of the regression coefficients, variance components, and heterogeneity parameter under regularity conditions. Cluster-specific random effects and variances are predicted by the posterior modes. The method is illustrated through an analysis of menstrual diary data and its properties are evaluated in a simulation study.

Author information

Author/s: Lin, X (X); Raz, J (J); Harlow, S D (SD);

Affiliation: Department of Biostatistics, University of Michigan, Ann Arbor 48109, USA.

Grants: R29 HD30373 (Agency:NICHD NIH HHS)

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.

Journal: Biometrics (Biometrics), published in UNITED STATES. (Language: eng)

Reference: 1997-Sep; vol 53 (issue 3) : pp 910-23

Dates: Created 1997/10/14; Completed 1997/10/14; Revised 2007/11/14;

PMID: 9290222, status: MEDLINE (last retrieval date: 2/18/2009, IMS Date: )

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Adolescent Adult Analysis of Variance Biometry - methods Cluster Analysis Female

Female Humans Medical Records Menstruation - physiology Models, Statistical Periodicity

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