In meta-analysis, the trim-and-fill method is used to:
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A
Remove low-quality studies before pooling
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B
Impute missing effect sizes from unpublished studies to correct for publication bias
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C
Trim outlier effect sizes beyond 2 standard deviations
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D
Fill in missing participant data using multiple imputation