2021
DOI: 10.1002/bimj.202000222
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Quantifying uncertainty in method of moments estimates of the heterogeneity variance in random effects meta‐analysis

Abstract: This article has earned an open data badge "Reproducible Research" for making publicly available the code necessary to reproduce the reported results. The results reported in this article could fully be reproduced.

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Cited by 3 publications
(2 citation statements)
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“…Statistical heterogeneity was assessed through I2 statistic [13]. The I2 values of 25%-50% indicated low heterogeneity; values of 50%-75% indicated moderate heterogeneity, and values > 75% indicated high heterogeneity [14]. Begg's and Egger's tests were used to assess potential publication bias [15] [16].…”
Section: Discussionmentioning
confidence: 99%
“…Statistical heterogeneity was assessed through I2 statistic [13]. The I2 values of 25%-50% indicated low heterogeneity; values of 50%-75% indicated moderate heterogeneity, and values > 75% indicated high heterogeneity [14]. Begg's and Egger's tests were used to assess potential publication bias [15] [16].…”
Section: Discussionmentioning
confidence: 99%
“…The Cochran Q test was used to assess the heterogeneity between studies ( Higgins et al, 2003 ). We also conducted I 2 testing to assess the magnitude of the heterogeneity between studies, with values >50% indicating moderate-to-high heterogeneity ( Sidik and Jonkman, 2022 ). Stata (version 15.0) and Review Manager (version 5.4) were used for all statistical analyses.…”
Section: Methodsmentioning
confidence: 99%