New SAS tool revolutionizes analysis of longitudinal data for HIV research.
Bivariate linear mixed models in SAS Proc MIXED help analyze data from two related markers over time. The model includes random effects and measurement error for both markers. The SAS program is useful for studying HIV infection and can be expanded to analyze multiple responses in longitudinal studies.