Document Detail

Mixed-model analysis of a censored normal distribution with reference to animal breeding.
MedLine Citation:
PMID:  3509964     Owner:  NLM     Status:  MEDLINE    
A mixed-model procedure for analysis of censored data assuming a multivariate normal distribution is described. A Bayesian framework is adopted which allows for estimation of fixed effects and variance components and prediction of random effects when records are left-censored. The procedure can be extended to right- and two-tailed censoring. The model employed is a generalized linear model, and the estimation equations resemble those arising in analysis of multivariate normal or categorical data with threshold models. Estimates of variance components are obtained using expressions similar to those employed in the EM algorithm for restricted maximum likelihood (REML) estimation under normality.
A L Carriquiry; D Gianola; R L Fernando
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Biometrics     Volume:  43     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  1987 Dec 
Date Detail:
Created Date:  1988-03-24     Completed Date:  1988-03-24     Revised Date:  2003-11-14    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  929-39     Citation Subset:  IM    
Department of Animal Sciences, University of Illinois, Urban 61801.
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MeSH Terms
Analysis of Variance
Animal Husbandry*
Models, Biological*
Erratum In:
Biometrics 1989 Jun;45(2):701

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

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