Cited by 2,415Meta-analysis and systematic reviewsStatistical Methods in EpidemiologyDelphi Technique in Research

Meta-analysis: Principles and procedures

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Egger, Matthias, Smith, George Davey, Phillips, Andrew N·1997·BMJ

Abstract

Meta-analysis should be as carefully planned as any other research project, with a detailed written protocol being prepared in advance.The a priori definition of eligibility criteria for studies to be included and a comprehensive search for such studies are central to high quality meta-analysis.The graphical display of results from individual studies on a common scale is an important intermediate step, which allows a visual examination of the degree of heterogeneity between studiesDifferent statistical methods exist for combining the data, but there is no single ''correct'' method.A thorough sensitivity analysis is essential to assess the robustness of combined estimates to different assumptions and inclusion criteria.

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Crossref · 10.1136/bmj.315.7121.1533

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Authors
Egger, M., Smith, G. D., & Phillips, A. N.
Affiliations
  • University of Bristol (GB)
  • The Royal Free Hospital (GB)
Venue
BMJ
Publisher
BMJ
Published
1997-12-06
Volume
315
Issue
7121
Pages
1533-1537
ISSN
  • 0007-1447 (ISSN-L)
  • 0959-8138
  • 1468-5833
OpenAlex
W2155132414
Cited by
2,415
References
30
Citations by year
2026: 57 · 2025: 96 · 2024: 137 · 2023: 128 · 2022: 96 · 2021: 93 · 2020: 110 · 2019: 90 · 2018: 104 · 2017: 92 · 2016: 95 · 2015: 116 · 2014: 116 · 2013: 136 · 2012: 125
FWCI
41.86
Type
journal article
Language
en
Open access
Locations
  • BMJ (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Social Sciences › Sociology and Political Science › Delphi Technique in Research
Keywords
meta-analysis methodology, eligibility criteria, literature searching, study heterogeneity, forest plots, sensitivity analysis
MeSH terms
Meta-Analysis as Topic

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