ROBUMETA: Stata module to perform robust variance estimation in meta-regression with dependent effect size estimates
robumeta provides a robust method for estimating standard errors in meta-regression, particularly when there are dependent effects. Dependent effects occur in two basic models: (1) correlated effects and (2) hierarchical meta-regression. In (1), the dependency arises as a result of correlated estimation errors; for example, a study collects two outcome measures on each participant and then summarizes these as two effect size measures. In (2), the dependency arises as a result of correlated parameters; for example, the same research group may publish several studies and there may be elements of these studies that are similar to one another. Importantly, the robust standard error procedure used here does not require the underlying correlation structure to be known; additionally, it works for any weights and can be used to estimate the mean effect size as well as meta-regression models. Finally, note that the procedure also can be used with independent effects, particularly when distributional assumptions might be violated. For more information on the underlying theory, see the references at the end of this help file.
|Requires:||Stata version 11.1|
|Date of creation:||19 Jan 2011|
|Date of revision:||23 Apr 2014|
|Note:||This module should be installed from within Stata by typing "ssc install robumeta". Windows users should not attempt to download these files with a web browser.|
|Contact details of provider:|| Postal: |
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
|Order Information:||Web: http://repec.org/docs/ssc.php|
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For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum)
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