Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous Effects
Abstract
We recently suggested new statistical metrics for routine reporting in random-effects meta-analyses to convey evidence strength for scientifically meaningful effects under effect heterogeneity. First, given a chosen threshold of meaningful effect size, we suggested reporting the estimated proportion of true population effect sizes above this threshold. Second, we suggested reporting the proportion of effect sizes below a second, possibly...
Paper Details
Title
Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous Effects
Published Date
May 1, 2020
Journal
Volume
31
Issue
3
Pages
356 - 358
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