an der Voet, H.
> (2012). Transformations of summary statistics as input in meta-analysis for
> linear dose-response models on a logarithmic scale: A methodology developed
> within EURRECA. BMC Medical Research Methodology, 12(57).
>
> Best,
> Wolfgang
>
>> -Original
Michael Dewey; Purssell, Ed; r-help@r-project.org
Subject: RE: [R] metafor - code for analysing geometric means
With "geometric mean 1 CI /3.92", I assume you mean "(upper bound - lower
bound) / 3.92". Two things:
1) That will give you the SE of the mean, not the SD of the observa
p-boun...@r-project.org]
> On Behalf Of Michael Dewey
> Sent: Thursday, November 13, 2014 12:36
> To: Purssell, Ed; r-help@r-project.org
> Subject: Re: [R] metafor - code for analysing geometric means
>
> On 13/11/2014 11:00, Purssell, Ed wrote:
> > ?Dear All
> >
On 13/11/2014 11:00, Purssell, Ed wrote:
?Dear All
I have some data expressed in geometric means and 95% confidence intervals.
Can I code them in metafor as:
rma(m1i=geometric mean 1, m2i=geometric mean 2, sd1i=geometric mean 1 CI /3.92,
sd2i=geometric mean 2 CI/3.92...etc, measure="
?Dear All
I have some data expressed in geometric means and 95% confidence intervals.
Can I code them in metafor as:
rma(m1i=geometric mean 1, m2i=geometric mean 2, sd1i=geometric mean 1 CI /3.92,
sd2i=geometric mean 2 CI/3.92...etc, measure="MD")
All of the studies use geometric means.
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