Multivariate Longitudinal Analysis with Bivariate Correlation Test.

ABSTRACT: In the context of multivariate multilevel data analysis, this paper focuses on the multivariate linear mixed-effects model, including all the correlations between the random effects when the dimensional residual terms are assumed uncorrelated. Using the EM algorithm, we suggest more general expressions of the model's parameters estimators. These estimators can be used in the framework of the multivariate longitudinal data analysis as well as in the more general context of the analysis of multivariate multilevel data. By using a likelihood ratio test, we test the significance of the correlations between the random effects of two dependent variables of the model, in order to investigate whether or not it is useful to model these dependent variables jointly. Simulation studies are done to ass

SUBMITTER: Adjakossa EH 

PROVIDER: S-EPMC4990185 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature