Document Detail


Effects of model misspecification in the estimation of variance components and intraclass correlation for paired data.
MedLine Citation:
PMID:  7481204     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Paired data occur in many experimental situations. When one views the subjects as a random sample from some large population, it may seem reasonable to model the data according to the typical one-way random effects analysis of variance (ANOVA). It is then usually of interest to estimate variance components and intraclass correlation. These estimators can be biased if key assumptions are violated, leading to erroneous interpretations and conclusions. We focus upon assumptions about the equality or inequality of means and/or variances of the two measures on each subject. In the framework of the one-way random effects ANOVA model, and three generalizations of it, we document estimators obtained as solutions to the likelihood equations. We consider the potentially serious effects of mistaken assumptions. Our findings suggest that the most general model considered is most desirable if consistent and efficient estimation of the between-subject variance component and intraclass correlation is the main goal. We also briefly connect our exposition to the study of reliability or agreement.
Authors:
R H Lyles; L E Chambless
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Statistics in medicine     Volume:  14     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  1995 Aug 
Date Detail:
Created Date:  1995-12-22     Completed Date:  1995-12-22     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  1693-706     Citation Subset:  IM    
Affiliation:
Department of Biostatistics, University of North Carolina at Chapel Hill 27599-7400, USA.
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MeSH Terms
Descriptor/Qualifier:
Analysis of Variance*
Bias (Epidemiology)
Data Interpretation, Statistical*
Humans
Likelihood Functions
Models, Statistical*
Sampling Studies
Grant Support
ID/Acronym/Agency:
N01-HC-55015/HC/NHLBI NIH HHS; T32 07018//PHS HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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