Bivariate linear mixed models using SAS proc MIXED

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dc.creatorThiébaut, Rodolphe
dc.creatorJacqmin-Gadda, Hélène
dc.creatorChêne, Geneviève
dc.creatorLeport, Catherine
dc.creatorCommenges, Daniel
dc.date2007-05-04
dc.date.accessioned2026-07-07T07:59:29Z
dc.date.available2026-07-07T07:59:29Z
dc.descriptionBivariate linear mixed models are useful when analyzing longitudinal data of two associated markers. In this paper, we present a bivariate linear mixed model including random effects or first-order auto-regressive process and independent measurement error for both markers. Codes and tricks to fit these models using SAS Proc MIXED are provided. Limitations of this program are discussed and an example in the field of HIV infection is shown. Despite some limitations, SAS Proc MIXED is a useful tool that may be easily extendable to multivariate response in longitudinal studies.
dc.identifierhttps://arxiv.org/abs/0705.0568
dc.identifierhttp://arxiv.org/abs/0705.0568
dc.identifierComput Methods Programs Biomed 69, 3 (11/2002) 249-56
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/128383
dc.subjectApplications
dc.subjectMethodology
dc.titleBivariate linear mixed models using SAS proc MIXED
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