College of Applied Science,
Beijing
China
Review Article
A Joint Model for Possibly Multivariate Longitudinal End Point in Clinical Cohort Study
Author(s): Yemane Hailu FissuhYemane Hailu Fissuh
This paper is motivated in modeling a joint mixed effect model incorporating random effects with independent measurement error for both end points. Both the association in the evolution (AOE) for two or possibly multiple outcomes and evolution in the association (EOA) are expected to be assessed by joint mixed effect model. The proposed model is further trustful of grasping the problem of nonlinearity and absence of normality assumption and in turn is to predict the effect of associated covariates in the progressive evolution of longitudinal outcomes throughout the given time interval. As case study the two outcomes Systolic Blood Pressure (SBP) and Diastolic Blood Pleasure (DBP) of hypertensive patients are considered. The summary statistics of the two end points are included in this context. Thus, the average follow-up is 4.21(0.088) months, the average SBP and DBP of hypertensive p.. Read More»
DOI:
10.4172/2157-7420.1000292
Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report