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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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Main Authors: | , , , , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
BMC
2012-10-01
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Colecção: | BMC Medical Research Methodology |
Assuntos: | |
Acesso em linha: | http://www.biomedcentral.com/1471-2288/12/163 |
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