An alternative pseudolikelihood method for multivariate random-effects meta-analysis.

ABSTRACT: Recently, multivariate random-effects meta-analysis models have received a great deal of attention, despite its greater complexity compared to univariate meta-analyses. One of its advantages is its ability to account for the within-study and between-study correlations. However, the standard inference procedures, such as the maximum likelihood or maximum restricted likelihood inference, require the within-study correlations, which are usually unavailable. In addition, the standard inference procedures suffer from the problem of singular estimated covariance matrix. In this paper, we propose a pseudolikelihood method to overcome the aforementioned problems. The pseudolikelihood method does not require within-study correlations and is not prone to singular covariance matrix problem. In additi

SUBMITTER: Chen Y 

PROVIDER: S-EPMC4305202 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature