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...
Saved in:
Main Author: | |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832087329524678656 |
---|---|
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. |
format | Article |
id | doaj-art-32ecc5eae8bc43daaca168cacf3bc3ae |
institution | Kabale University |
issn | 0019-5049 0976-2817 |
language | English |
publishDate | 2025-01-01 |
publisher | Wolters Kluwer Medknow Publications |
record_format | Article |
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 |