Abstract
In modeling multiple effect sizes in meta-analysis, one often wants to evaluate two linear models for multivariate outcomes by including different sets of non-nested predictors for each outcome. This results in two non-nested multivariate effect size models. In this article, we show how to test the hypothesis that a non-nested model fits a set of predictors.
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