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

被引:14
作者
Palmer, Tom M. [1 ]
Sterne, Jonathan A. C. [2 ]
机构
[1] Univ Lancaster, Dept Math & Stat, Lancaster, England
[2] Univ Bristol, Sch Social & Community Med, Bristol, Avon, England
基金
英国医学研究理事会;
关键词
st0398; gsem; meta-analysis; meta-regression; metan; metareg; mvmeta; sem; structural equation modeling; META-REGRESSION; INCONSISTENCY; HETEROGENEITY; CONSISTENCY;
D O I
10.1177/1536867X1501500303
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
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.
引用
收藏
页码:645 / 671
页数:27
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