How to interpret meta-analysis models: fixed effect and random effects meta-analyses
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This section of the journal is aimed at providing the essential information readers should know about the topics that are addressed in the ‘Statistics in practice’ paper published in the same issue of the journal. This stand-alone section has to be seen as an articulated summary of the main notions clinicians have to know about some basic concepts in statistics, which may be useful for their evidence-based practice. After going through these notes, readers are encouraged to read the ‘Statistics in practice’ articles. Of course, we welcome any feedback from you (via email or Twitter) about this! The EBMH Editors Relative treatment effects studied in trials are typically measured using an effect size. The observed effect sizes are synthesised to obtain a summary treatment effect via meta-analysis.
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- Authors
- Nikolakopoulou, A., Mavridis, D., & Salanti, G.
- Affiliations
- University of Ioannina (GR)
- Corresponding author
- Mavridis, Dimitris
- Venue
- Evidence Based Mental Health
- Publisher
- BMJ
- Published
- 2014-04-23
- Volume
- 17
- Issue
- 2
- Pages
- 64-64
- ISSN
- 1362-0347 (ISSN-L)
- 1468-960X
- PMC
- PMC13404559
- OpenAlex
- W2087189655
- Cited by
- 180
- References
- 0
- Citations by year
- 2026: 15 · 2025: 46 · 2024: 43 · 2023: 22 · 2022: 15 · 2021: 11 · 2020: 10 · 2019: 7 · 2018: 4 · 2017: 3 · 2016: 2 · 2015: 2
- FWCI
- 2.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Evidence-Based Mental Health (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion)
- HighWire Press Open Archive (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
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- fixed-effects meta-analysis, random-effects meta-analysis, effect size, heterogeneity, evidence-based practice
- MeSH terms
- Data Interpretation, Statistical, Humans, Meta-Analysis as Topic, Models, Statistical
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