A method of moments estimator for random effect multivariate meta-analysis.

ABSTRACT: Meta-analysis is a powerful approach to combine evidence from multiple studies to make inference about one or more parameters of interest, such as regression coefficients. The validity of the fixed effect model meta-analysis depends on the underlying assumption that all studies in the meta-analysis share the same effect size. In the presence of heterogeneity, the fixed effect model incorrectly ignores the between-study variance and may yield false positive results. The random effect model takes into account both within-study and between-study variances. It is more conservative than the fixed effect model and should be favored in the presence of heterogeneity. In this paper, we develop a noniterative method of moments estimator for the between-study covariance matrix in the random effect mo

SUBMITTER: Chen H 

PROVIDER: S-EPMC4030295 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature