I guess I'll chip in, since I wrote that function (which is going to be
updated thoroughly in the near future -- I will probably expand it to an
entire package).
Have a look at MiMa at Wolfgang Viechtbauer's page. Is that what
you are looking for?
http://www.wvbauer.com/downloads.html
Wolfgang Vietchbauer wrote :
The dependent variable to be used with the mima function can be any
measure for which we have a known sampling variance (or approximately
so) and that is (approximately) normally distributed. So, the
dependent variable could be log odds ratios, log risk ratios,
Am 9 Nov 2006 um 8:45 hat Emmanuel Charpentier geschrieben:
Date sent: Thu, 09 Nov 2006 08:45:36 +0100
From: Emmanuel Charpentier [EMAIL PROTECTED]
To: r-help@stat.math.ethz.ch
Subject:[R] Meta-regression with lmer() ? If so, how
Dear Bernd, dear list,
Bernd Weiss a écrit :
[ ... ]
Have a look at MiMa at Wolfgang Viechtbauer's page. Is that what
you are looking for?
http://www.wvbauer.com/downloads.html
As far as I can tell, mima does what I mean to do, but there are some
limits :
- mima works on effects, and
Dear List,
I am (again) looking at meta-regression as a way to refine meta-analytic
results. What I want to do is to assess the impact of some fixed factors
on the results of a meta-analysis. Some of them may be crossed with the
main factor of the meta-analysis (e. g. clinical presentation of a
