Document Detail


Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.
MedLine Citation:
PMID:  10877304     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
S Duval; R Tweedie
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Biometrics     Volume:  56     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  2000 Jun 
Date Detail:
Created Date:  2000-10-10     Completed Date:  2000-10-10     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  455-63     Citation Subset:  IM    
Affiliation:
Department of Preventive Medicine and Biometrics, University of Colorado Health Sciences Center, Denver 80262, USA.
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MeSH Terms
Descriptor/Qualifier:
Analysis of Variance
Bias (Epidemiology)*
Biometry / methods
Clinical Trials as Topic / methods
Humans
Meta-Analysis as Topic*
Psychometrics
Publishing*
Statistics, Nonparametric*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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