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Re: st: Re: metareg w/ clustering?
-metareg- does meta-analysis regression, aka. meta-regression. It assumes
you have summary data for an outcome and its variance within each
group/study, similar to -vwls-, except it estimates an additional
between-group/study variance component tau-squared. Using regular
regression with analytic weights would estimate a multiplicative
overdispersion parameter that multiplies each within-study variance rather
than an additive component of variance.
-metareg- does not have -cluster- or -robust- options. It would not be
straightforward to add these to the code as it does not use conventional
maximum likelihood estimation. I guess it might be possible to use
-_robust- afterwards as Rodrigo suggests (i'd never noticed this command
before), but it's not obvious to me what the score variable that -_robust-
requires should be.
I'd be curious to know a bit more about your application, in particular
what your clusters are. In your example you specify varA as a covariate and
also as the cluster id variable - i have difficulty imagining how this
could be useful.
--On 28 June 2006 16:13 -0400 "Rodrigo A. Alfaro" <firstname.lastname@example.org>
I don't know what metareg does. But maybe you can use -_robust- after the
There is a better description of -_robust- in Programming book.
----- Original Message -----
From: "Erick Turner" <email@example.com>
Sent: Wednesday, June 28, 2006 2:57 PM
Subject: st: metareg w/ clustering?
Is there a way to combine the cluster command with -metareg-, as can be
done for other types of regression?
. metareg g varA varB varC, robust cluster(varA)
but I got
option robust not allowed
Tech support couldn't say much, since -metareg- is user-written, but
suggested something might be done with regular regression but using
Thanks for any thoughts.
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