A modified adaptive asymmetric trimmed mean is proposed to down-weight outlier studies in meta-analysis via a modified bootstrap, shown to align with other methods on known datasets and avoid false positives in simulations.
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Outliers in meta-analysis: an asymmetric trimmed-mean approach
A modified adaptive asymmetric trimmed mean is proposed to down-weight outlier studies in meta-analysis via a modified bootstrap, shown to align with other methods on known datasets and avoid false positives in simulations.