Bayesian multivariate skew meta-regression models for individual patient data.

ABSTRACT: We examine a class of multivariate meta-regression models in the presence of individual patient data. The methodology is well motivated from several studies of cholesterol-lowering drugs where the goal is to jointly analyze the multivariate outcomes, low density lipoprotein cholesterol, high density lipoprotein cholesterol, and triglycerides. These three continuous outcome measures are correlated and shed much light on a subject's lipid status. One of the main goals in lipid research is the joint analysis of these three outcome measures in a meta-regression setting. Since these outcome measures are not typically multivariate normal, one must consider classes of distributions that allow for skewness in one or more of the outcomes. In this paper, we consider a new general class of multivaria

SUBMITTER: Ibrahim JG 

PROVIDER: S-EPMC6461541 | biostudies-literature | 2019 Oct-Nov

REPOSITORIES: biostudies-literature