2007
DOI: 10.1136/bmj.39343.408449.80
|View full text |Cite
|
Sign up to set email alerts
|

Uncertainty in heterogeneity estimates in meta-analyses

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

7
754
1
4

Year Published

2008
2008
2023
2023

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 1,052 publications
(766 citation statements)
references
References 23 publications
(6 reference statements)
7
754
1
4
Order By: Relevance
“…Finally, to detect publication biases, we measured the degree of asymmetry by using Egger's unweighted regression asymmetry test [25]. All analyses were performed using the Meta-Analysis Program [26].…”
Section: Methodsmentioning
confidence: 99%
“…Finally, to detect publication biases, we measured the degree of asymmetry by using Egger's unweighted regression asymmetry test [25]. All analyses were performed using the Meta-Analysis Program [26].…”
Section: Methodsmentioning
confidence: 99%
“…It should be noted, however, that I-squared fell well within the acceptable limits, i.e., ≤ 60% [50] in the majority of meta-analyses. In addition, a 95% confidence interval for the I-squared was not available for those studies where heterogeneity was high: this prevents us from concluding that heterogeneity was in effect falling outside acceptable limits [51].…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…Statistical heterogeneity was evaluated using the I 2 statistic [9,10]; the 95% CI for I 2 were calculated using Higgins et al's method [12,13]. Where I 2 was >50%, the degree of heterogeneity was considered high.…”
Section: Outcome Measuresmentioning
confidence: 99%