Sorry about not clarifying the --metaregW-- command. This macro is
documented in Lipsey & Wilson's (2001) Practical Meta-Analysis, and is
available on David Wilson's website
(http://mason.gmu.edu/~dwilsonb/ma.html). Wilson's macro was originally
named --metareg--, but this conflicts with another widely-used Stata
macro name, so I changed the name to metaregW for my use.
The mat / loop procedure ran fine under version 8. Indeed, I used it
quite a bit to get these special type (weighted random effects
bivariate) correlations. I only recently tried to use the procedure
with version 9, and now it doesn't work properly.
Regards,
wg
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Nick Cox
Sent: Sunday, September 11, 2005 10:41 AM
To: [email protected]
Subject: st: RE: mat procedure won't run in V9
This uses a procedure -metaregW-.
The Statalist FAQ advises
"Say what command(s) you are using.
If they are not part of official Stata, say where they come from: the
STB/SJ, SSC, or other archives."
. findit metaregW
finds nothing, and a Google search seems to find nothing much except
your own previous references to
-metaregW- in Statalist postings, so for I all know it is your own
program.
In general I suspect the problem is nothing to do with Stata 9. You must
use exactly the same names as -metaregW- to pick up its results.
-return list- after -metaregW- will tell you what -metaregW- returns.
Nick
[email protected]
Garrard, Wendy M.
> I am hoping someone can help me get this bit of code (developed in
> v.8) to run in v9.
> The commands are below, and when it works properly, it calls a
> "meta-regression" macro and produces a list (matrix) of bivariate
> weighted random effects correlations between the effect size and each
> variable in the varlist.
>
> This is the first time I've tried to use this do-file in v9, and no
> correlations are showing up in the (oblong) matrix.
>
> Any suggestions? Thanks very much
> --wg
>
> *********************
> /*START*/
> mat res = J(20,2,0)
> local i 0
> foreach v of varlist var1 var2 var3 var4 var5 {
> qui metaregW es_adjRndwz `v' [aw=weight] , model(ml)
> *summarize `v'
> local ++i
> mat res[`i',1] = r(corr)
> mat res[`i',2] = r(pr)
> local rl "`rl' `v'"
> }
> mat rownames res = `rl'
> mat colnames res = Corr(ml) p-value
> mat list res, f(%9.3f)
> /*STOP*/
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