Hi, Emilie.
For your second question. You may check Gleser and Olkin (2009). They gave
several formulas to estimate the sampling covariance for dependent effect
sizes. One of them can be applied in your case.
Gleser, L. J., & Olkin, I. (2009). Stochastically dependent effect sizes. In
H. Cooper,
At 16:21 17/08/2011, Emilie MAILLARD wrote:
Hello,
Â
I would like to do a meta-analysis with the
package « metafor ». Ideally I would like to
use a mixed model because Iâm interested to
see the effect of some moderators. But the data
set I managed to collect from literature presents two
.
>
> - Firstly, for each observation, I have means for a treatment and for
> a control, but I don’t always have corresponding standard deviations (52 of a
> total of 93 observations don’t have standard deviations). Nevertheless I have
> the sample sizes for all observations so I wonder
Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of Emilie MAILLARD
> Sent: Wednesday, August 17, 2011 17:21
> To: r-help@r-project.org
> Subject: [R] questions about "metafor" package
>
> Hello,
>
> I would like
Hello,
Â
I would like to do a meta-analysis with the package « metafor ». Ideally I
would like to use a mixed model because Iâm interested to see the effect of
some moderators. But the data set I managed to collect from literature presents
two limits.
Â
-Â Â Â Â Â Â Â Â Firstly, for ea
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