Statistics – Applications
Scientific paper
2007-05-04
Comput Methods Programs Biomed 69, 3 (11/2002) 249-56
Statistics
Applications
Scientific paper
Bivariate 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.
Chêne Geneviève
Commenges Daniel
Jacqmin-Gadda Helene
Leport Catherine
Thiebaut Rodolphe
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