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Fitting fixed- and random-effects meta-analysis models using structural equation modeling with the sem and gsem commands

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Fitting fixed- and random-effects meta-analysis models using structural equation modeling with the sem and gsem commands. / Palmer, Tom; Sterne, Jonathan A. C.

In: Stata Journal, Vol. 15, No. 3, 2015, p. 645-671.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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@article{c72c201e4cb445b6a191fb53f7e57ae1,
title = "Fitting fixed- and random-effects meta-analysis models using structural equation modeling with the sem and gsem commands",
abstract = "In this article, we demonstrate how to fit fixed- and random-effects meta-analysis, meta-regression, and multivariate outcome meta-analysis models under the structural equation modeling framework using the sem and gsem commands. While all of these models can be fit using existing user-written commands, formulating the models in the structural equation modeling framework provides deeper insight into how they work. Further, the heterogeneity test for meta-regression and multivariate meta-analysis is readily available from this output.",
keywords = "gsem, meta-analysis, meta-regression , metan, metareg, hfilbreak mvmeta, sem, structural equation modeling",
author = "Tom Palmer and Sterne, {Jonathan A. C.}",
note = "Publisher does not allow archiving see Sherpa Romeo",
year = "2015",
language = "English",
volume = "15",
pages = "645--671",
journal = "Stata Journal",
issn = "1536-867X",
publisher = "DPC Nederland",
number = "3",

}

RIS

TY - JOUR

T1 - Fitting fixed- and random-effects meta-analysis models using structural equation modeling with the sem and gsem commands

AU - Palmer, Tom

AU - Sterne, Jonathan A. C.

N1 - Publisher does not allow archiving see Sherpa Romeo

PY - 2015

Y1 - 2015

N2 - In this article, we demonstrate how to fit fixed- and random-effects meta-analysis, meta-regression, and multivariate outcome meta-analysis models under the structural equation modeling framework using the sem and gsem commands. While all of these models can be fit using existing user-written commands, formulating the models in the structural equation modeling framework provides deeper insight into how they work. Further, the heterogeneity test for meta-regression and multivariate meta-analysis is readily available from this output.

AB - In this article, we demonstrate how to fit fixed- and random-effects meta-analysis, meta-regression, and multivariate outcome meta-analysis models under the structural equation modeling framework using the sem and gsem commands. While all of these models can be fit using existing user-written commands, formulating the models in the structural equation modeling framework provides deeper insight into how they work. Further, the heterogeneity test for meta-regression and multivariate meta-analysis is readily available from this output.

KW - gsem

KW - meta-analysis

KW - meta-regression

KW - metan

KW - metareg

KW - hfilbreak mvmeta

KW - sem

KW - structural equation modeling

M3 - Journal article

VL - 15

SP - 645

EP - 671

JO - Stata Journal

JF - Stata Journal

SN - 1536-867X

IS - 3

ER -