Bayesian multivariate meta-analysis of multiple factors.

ABSTRACT: In medical sciences, a disease condition is typically associated with multiple risk and protective factors. Although many studies report results of multiple factors, nearly all meta-analyses separately synthesize the association between each factor and the disease condition of interest. The collected studies usually report different subsets of factors, and the results from separate analyses on multiple factors may not be comparable because each analysis may use different subpopulation. This may impact on selecting most important factors to design a multifactor intervention program. This article proposes a new concept, multivariate meta-analysis of multiple factors (MVMA-MF), to synthesize all available factors simultaneously. By borrowing information across factors, MVMA-MF can improve sta

SUBMITTER: Lin L 

PROVIDER: S-EPMC5988916 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature