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Fitting parametric random effects models in very large data sets with application to VHA national data

<p>Abstract</p> <p>Background</p> <p>With the current focus on personalized medicine, patient/subject level inference is often of key interest in translational research. As a result, random effects models (REM) are becoming popular for patient level inference. However,...

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Detalhes bibliográficos
Main Authors: Gebregziabher Mulugeta, Egede Leonard, Gilbert Gregory E, Hunt Kelly, Nietert Paul J, Mauldin Patrick
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2012-10-01
Colecção:BMC Medical Research Methodology
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Acesso em linha:http://www.biomedcentral.com/1471-2288/12/163
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