A new approach for handling missing correlation values for meta-analytic structural equation modeling: Corboundary R package.

ABSTRACT: With increased use of multivariate meta-analysis in numerous disciplines, where structural relationships among multiple variables are examined, researchers often encounter a particular challenge due to missing information. The current research concerns missing correlations (rs) in the correlation matrix of m variables (R _m × m ) and establish more informative and empirical prior distributions for missing rs in R _m × m . In particular, the method for deriving mathematically/analytically boundaries for missing rs in relation to other adjacent rs in R _m × m , while satisfying conditions for a valid R _m × m (i.e., a symmetric and positive semidefinite correlati

SUBMITTER: Ahn S 

PROVIDER: S-EPMC8356472 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature