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

Biometrics - Tập 56 Số 2 - Trang 455-463 - 2000
Sue Duval1, Richard L. Tweedie2
1Department of Preventive Medicine and Biometrics, University of Colorado Health Sciences Center, Denver 80262, USA.
2Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, U.S.A. email:[email protected]

Tóm tắt

Summary. 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.

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Biometrics

Tập 56 Số 2

455-463

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