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Re: st: Displaying system variables after a meta-analysis using 'meta'


From   Roger Newson <[email protected]>
To   [email protected]
Subject   Re: st: Displaying system variables after a meta-analysis using 'meta'
Date   Tue, 10 May 2005 14:41:02 +0100

At 14:01 10/05/2005, Roger Harbord wrote:
--On 09 May 2005 17:43 +0100 Andrea Mann <[email protected]> wrote:

Dear all,

I have performed a meta-analysis using the 'meta' command and would like
to outfile the odds ratio, lower confidence limit, upper confidence limit
and fixed and random weights, for each individual study, to a raw file.
What are the names of the system variables for the odds ratio, lower ci,
upper ci and the weights?  I intend to generate variables from these
system variables, collapse, and outfile.  Is that correct?
Dear Andrea,

It's probably going to be a little easier if you switch to use -metan- instead of -meta- as -metan- generates new variables containing the weights and CI limits. The most recent version of -metan- accepts the same input variables in the same order as -meta- i.e. effect estimates and standard errors. This is version 1.81 and is obtained by typing -ssc intall metaaggr, replace-. Full documentation including names of the variables left behind is available at <http://www.ihs.ox.ac.uk/csm/metan/metan_updates.pdf>

How you best handle the variables afterwards depends on what you want to use them for which you know better than us.
Another possible package for doing a meta-analysis is -metaparm-, downloadable from SSC using the -ssc- command. Whether you use -metan- or -metaparm- to do the calculations, you might like to use the -eclplot- package (also downloadable from SSC) to do the confidence interval plots, as -eclplot- is written in Stata 8, which contains better graphics than previous Stata versions.

Hope this helps.

Roger



--
Roger Newson
Lecturer in Medical Statistics
Department of Public Health Sciences
Division of Asthma, Allergy and Lung Biology
King's College London

5th Floor, Capital House
42 Weston Street
London SE1 3QD
United Kingdom

Tel: 020 7848 6648 International +44 20 7848 6648
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or 020 7848 6605 International +44 20 7848 6605
Email: [email protected]
Website: http://phs.kcl.ac.uk/rogernewson/

Opinions expressed are those of the author, not the institution.

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