The heterogeneity statistic I2 can be biased in small meta-analyses
The University of Texas at Austin
Indexed inarxivcrossrefdoajpubmed
Abstract
Background
Estimated effects vary across studies, partly because of random sampling error and partly because of heterogeneity. In meta-analysis, the fraction of variance that is due to heterogeneity is estimated by the statistic I(2). We calculate the bias of I(2), focusing on the situation where the number of studies in the meta-analysis is small. Small meta-analyses are common; in the Cochrane Library, the median number of studies per meta-analysis is 7 or fewer.
Methods
We use Mathematica software to calculate the expectation and bias of I(2).
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Authors
1Topics & keywords
Topics
Keywords
- Meta-analysis
- Statistics
- Publication bias
- Study heterogeneity
- Confidence interval
- Point estimation
- Statistic
- Sample size determination
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