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ROBUMETA: Stata module to perform robust variance estimation in meta-regression with dependent effect size estimates

Listed author(s):
  • Eric C. Hedberg


    (National Opinion Research Center at the University of Chicago)

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.

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Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S457219.

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Programming language: Stata
Requires: Stata version 11.1
Date of creation: 19 Jan 2011
Date of revision: 23 Apr 2014
Handle: RePEc:boc:bocode:s457219
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.
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Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA

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