On modeling HIV data using bivariate linear mixed model. – E. Eteng, E. O. Effanga and M. E. Nja
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. We fitted these models using SAS Proc MIXED.