hJH6VI=3D;
[email protected]
X-Mailer: Mulberry/2.2.1 (Win32)
MIME-Version: 1.0
Content-Type: text/plain; charset=3Diso-8859-1; format=3Dflowed
Content-Disposition: inline
X-Spam-Score: -0.4
X-Spam-Level: /
X-Barracuda-Bayes: INNOCENT GLOBAL 0.0000 1.0000 -2.0210
X-Barracuda-Virus-Scanned: by HSPH Email Quarantine System at hsph.harvard.=
edu
X-Barracuda-Spam-Score: -2.02
X-Barracuda-Spam-Status: No, SCORE=3D-2.02 using global scores of TAG_LEVEL=
=3D1000.0 QUARANTINE_LEVEL=3D3.5 KILL_LEVEL=3D7.0 tests=3D
X-Barracuda-Spam-Report: Code version 3.1, rules version 3.1.21679
=09Rule breakdown below
=09 pts rule name description
=09---- ---------------------- -------------------------------------------=
-------
Content-Transfer-Encoding: 8bit
X-MIME-Autoconverted: from quoted-printable to 8bit by hsphsun2.harvard.edu=
id l63CkVM09250
Sender: [email protected]
Precedence: bulk
Reply-To: [email protected]
Errors-To: [email protected]
Apols for repost - seems some non-ascii characters in the subject line mess=
ed
up the message I posted yesterday, so reposting with shorter title.
---------- Forwarded Message ----------
Date: 02 July 2007 14:55 +0100
From: Roger Harbord <[email protected]>
Dear Tiago,
Stephen Sharp's original version of -metareg- saved the estimate of the
between-studies variance tau-squared in the global macro S_2. The regressio=
n
coefficients and their variance-covariance matrix are available in the
matrices e(b) and e(V).
I^2 doesn't in fact require tau^2 - it only uses the weighted residual sum =
of
squares, the analogue of Cochran's Q for meta-regression. I^2 is defined fr=
om
Cochran's Q in Higgins et al. (2003). So it's the same regardless of the
method used to calculate tau^2. Q is calculated from fixed-effect
meta-regression which can be performed by -vwls-. Q is reported by -vwls- a=
s
the "Goodness-of-fit chi2" and saved as e(chi2_gf).
I haven't implemented ML or "empirical Bayes" estimation of tau-squared in =
my
update of -metareg- as I believe that REML is preferable (see Thompson &
Sharp 1999). If Tiago knows of recent evidence to the contrary I'd apprecia=
te
the references. However, if those methods are requested using the original
syntax then the updated -metareg- simply calls the original program, which =
is
still present within the same ado-file.
Yours,
Roger.
Refs
----
Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in
meta-analyses. BMJ 2003;327:557-560.
Thompson SG, Sharp SJ. Explaining heterogeneity in meta-analysis: A
comparison of methods. Stat Med 1999;18:2693-2708.
------------------------------------
Tiago Pereira wrote :
Dear statalisters,
(Roger will probably reply to this message - I hope).
Well, I was wondering if there is a straighforward way to output (or save)
the results of the old metareg (Sharp=B4s metareg) (sbe 23), beucase I am
unable to get either scalars or macros using the return/ereturn commands.
In this respect, how could one obtain the I^2 using an empirical Bayes
estimate of the between-study variance (tau^2) provided by Sharp=B4s
metareg?
In relation to the new -metareg- (Harbor-Steichen=B4s metareg), it would b=
e
so nice if we (non-statisticians, medical researchers) could obtain the ml
and empirical Bayes estimates of tau^2, since recent evidence have shown
that these estimates yield more accurate results than either moment or
reml methods, especially for scenarios typical of meta-analyses in
medicine. Hence, their impplementation would be important.
Thx for any help.
Best regards,
Tiago
---------- End Forwarded Message ----------
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/