Trim and Fill: A Simple Funnel‐Plot–Based Method of Testing and Adjusting for Publication Bias in Meta‐Analysis

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ID: 289169
2000
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Abstract
We study recently developed nonparametric methods for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome. These are simple rank-based data augmentation techniques, which formalize the use of funnel plots. We show that they provide effective and relatively powerful tests for evaluating the existence of such publication bias. After adjusting for missing studies, we find that the point estimate of the overall effect size is approximately correct and coverage of the effect size confidence intervals is substantially improved, in many cases recovering the nominal confidence levels entirely. We illustrate the trim and fill method on existing meta-analyses of studies in clinical trials and psychometrics.
Reference Key
openalex_W2033585778 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sue Duval, Richard L. Tweedie
Journal biometrics
Year 2000
DOI
10.1111/j.0006-341x.2000.00455.x
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