The file-drawer problem revisited: A general weighted method for calculating fail-safe numbers in meta-analysis

Michael S. Rosenberg

Research output: Contribution to journalArticlepeer-review

827 Scopus citations

Abstract

Quantitative literature reviews such as meta-analysis are becoming common in evolutionary biology but may be strongly affected by publication biases. Using fail-safe numbers is a quick way to estimate whether publication bias is likely to be a problem for a specific study. However, previously suggested fail-safe calculations are unweighted and are not based on the framework in which most meta-analyses are performed. A general, weighted fail-safe calculation, grounded in the meta-analysis framework, applicable to both fixed- and random-effects models, is proposed. Recent meta-analyses published in Evolution are used for illustration.

Original languageEnglish (US)
Pages (from-to)464-468
Number of pages5
JournalEvolution
Volume59
Issue number2
DOIs
StatePublished - Feb 2005

Keywords

  • Fail-safe numbers
  • File drawer problem
  • Meta-analysis
  • Publication bias
  • Statistical methods

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • General Agricultural and Biological Sciences

Fingerprint

Dive into the research topics of 'The file-drawer problem revisited: A general weighted method for calculating fail-safe numbers in meta-analysis'. Together they form a unique fingerprint.

Cite this