Multivariate Generalized Linear Mixed Models With Random Intercepts To Analyze Cardiovascular Risk Markers in Type-1 Diabetic Patients.
Statistical approaches tailored to analyzing longitudinal data that have multiple outcomes with different distributions are scarce. This paucity is due to the non-availability of multivariate distributions that jointly model outcomes with different distributions other than the multivariate normal. A plethora of research has been done on the specific combination of binary-Gaussian bivariate outcomes but a more general approach that allows other mixtures of distributions for multiple longitudinal outcomes has not been thoroughly demonstrated and examined. Here we study a multivariate generalized linear mixed models approach that jointly models multiple longitudinal outcomes with different combinations of distributions and incorporates the correlations between the various outcomes through separate yet correlated random intercepts. Every outcome is linked to the set of covariates through a proper link function that allows the incorporation and joint modelling of different distributions. A novel application was demonstrated on a cohort study of Type 1 diabetic patients to jointly model a mix of longitudinal cardiovascular outcomes and to explore for the first time the effect of glycemic control treatment, plasma prekallikrein biomarker, gender and age on cardiovascular risk factors collectively.
Epidemiology and Population Health Department, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon, P.O.Box 11-0236 Riad El-Solh / Beirut, Lebanon 1107 2020.
Miran A
MA
Jaffa
Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, 135 Cannon Street, Suite 303, Charleston, SC 29425, USA.
Mulugeta
M
Gebregziabher
Division of Nephrology, Diabetes and Medical Genetics, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA.
Deirdre K
DK
Luttrell
Division of Endocrinology, Diabetes and Medical Genetics, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA.
Louis M
LM
Luttrell
Division of Endocrinology, Diabetes and Medical Genetics, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA; Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon, P.O.Box 11-0236 Riad El-Solh / Beirut, Lebanon 1107 2020.
Ayad A
AA
Jaffa
Diabetes; Joint modeling; Longitudinal outcomes; Mixed distributions; Multiple outcomes; Multivariate data; Plasma prekallikrein biomarker; Separate random intercepts; Shared random coefficient