METAMISS: Stata module to perform meta-analysis with missing data

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METAMISS: Stata module to perform meta-analysis with missing data

Author Info

Ian White () (MRC Biostatistics Unit)
Julian Higgins (MRC Biostatistics Unit)

Abstract

metamiss performs meta-analysis with a binary outcome, using data on the number of successes, number of failures and number of missing values by arm. A variety of imputation methods are available, including imputing failures, imputing successes, worst- and best-case. Different imputation schemes may be applied to subgroups with different reported reasons for missing data. The degree of informative missingness may be specified via the informative missingness odds ratio (IMOR) in each group. Finally, uncertainty about the IMORs may be taken into account in a Bayesian analysis. This command should be especially useful for sensitivity analysis.

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File URL: http://fmwww.bc.edu/repec/bocode/m/metamiss.ado
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File URL: http://fmwww.bc.edu/repec/bocode/m/metamiss.hlp
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File URL: http://fmwww.bc.edu/repec/bocode/m/metamiss2.ado
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File URL: http://fmwww.bc.edu/repec/bocode/m/metamiss2.sthlp
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File URL: http://fmwww.bc.edu/repec/bocode/h/haloperidol.do
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File URL: http://fmwww.bc.edu/repec/bocode/h/haloperidol.dta
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S456869.

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Programming language: Stata
Requires: Stata version 9 (version 10.1 for metamiss2)
Date of creation: 07 Sep 2007
Date of revision: 17 Oct 2008
Handle: RePEc:boc:bocode:s456869

Note: This module may be installed from within Stata by typing "ssc install metamiss". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

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This page was last updated on 2009-12-22.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.