Fixed-effect versus random-effect model in meta-analysis: How to decide?

Interpretation of meta-analysis requires an appropriate understanding of its statistical methods. Data synthesis methods are the basis of the meta-analytic process, and a thorough knowledge of the models used is essential. The two most widely used methods for data synthesis are the ‘fixed-effect met...

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Main Author: Souvik Maitra
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-01-01
Series:Indian Journal of Anaesthesia
Subjects:
Online Access:https://journals.lww.com/10.4103/ija.ija_1203_24
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author Souvik Maitra
author_facet Souvik Maitra
author_sort Souvik Maitra
collection DOAJ
description Interpretation of meta-analysis requires an appropriate understanding of its statistical methods. Data synthesis methods are the basis of the meta-analytic process, and a thorough knowledge of the models used is essential. The two most widely used methods for data synthesis are the ‘fixed-effect method’ and the ‘random-effect method’. The latter is commonly used when a ‘significant heterogeneity’ exists. This narrative review explains fixed- and random-effect models, the two most commonly used data synthesis models.
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institution Kabale University
issn 0019-5049
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publishDate 2025-01-01
publisher Wolters Kluwer Medknow Publications
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series Indian Journal of Anaesthesia
spelling doaj-art-32ecc5eae8bc43daaca168cacf3bc3ae2025-02-06T05:26:09ZengWolters Kluwer Medknow PublicationsIndian Journal of Anaesthesia0019-50490976-28172025-01-0169114314610.4103/ija.ija_1203_24Fixed-effect versus random-effect model in meta-analysis: How to decide?Souvik MaitraInterpretation of meta-analysis requires an appropriate understanding of its statistical methods. Data synthesis methods are the basis of the meta-analytic process, and a thorough knowledge of the models used is essential. The two most widely used methods for data synthesis are the ‘fixed-effect method’ and the ‘random-effect method’. The latter is commonly used when a ‘significant heterogeneity’ exists. This narrative review explains fixed- and random-effect models, the two most commonly used data synthesis models.https://journals.lww.com/10.4103/ija.ija_1203_24fixed-effect modelheterogeneitymeta-analysisrandom-effect model
spellingShingle Souvik Maitra
Fixed-effect versus random-effect model in meta-analysis: How to decide?
Indian Journal of Anaesthesia
fixed-effect model
heterogeneity
meta-analysis
random-effect model
title Fixed-effect versus random-effect model in meta-analysis: How to decide?
title_full Fixed-effect versus random-effect model in meta-analysis: How to decide?
title_fullStr Fixed-effect versus random-effect model in meta-analysis: How to decide?
title_full_unstemmed Fixed-effect versus random-effect model in meta-analysis: How to decide?
title_short Fixed-effect versus random-effect model in meta-analysis: How to decide?
title_sort fixed effect versus random effect model in meta analysis how to decide
topic fixed-effect model
heterogeneity
meta-analysis
random-effect model
url https://journals.lww.com/10.4103/ija.ija_1203_24
work_keys_str_mv AT souvikmaitra fixedeffectversusrandomeffectmodelinmetaanalysishowtodecide