[R-meta] converting effect sizes from RR to lnRR without original data

[Diego Grados Bedoya]

Dear Wolfgang,

Thank you for your answer. There is a mistake in the online version of the
article (https://doi.org/10.1126/sciadv.aba1715). The suggested equation is:

lnRR = ln(RR) - n * SE^2 / (2 * RR^2)

Greetings,

Diego

On Wed, 28 Apr 2021 at 12:11, Viechtbauer, Wolfgang (SP) <
wolfgang.viechtbauer using maastrichtuniversity.nl> wrote:

> Dear Diego,
>
> If I need to convert an RR to lnRR, I just take the log. I don't know what
> that equation is supposed to do. It might help if you would tell you where
> you got it from.
>
> Best,
> Wolfgang
>
> >-----Original Message-----
> >From: R-sig-meta-analysis [mailto:
> r-sig-meta-analysis-bounces using r-project.org] On
> >Behalf Of Diego Grados Bedoya
> >Sent: Wednesday, 28 April, 2021 10:52
> >To: R meta
> >Subject: [R-meta] converting effect sizes from RR to lnRR without
> original data
> >
> >Dear all,
> >
> >I would like to convert an effect size from RR to lnRR. I do not have
> >access to the original data. I just have the effect size (RR), standard
> >error (SE) and the number of comparisons (N). I read that a direct log
> >transformation of an RR can lead to an overestimation of the effect size,
> >thus the authors proposed a correction for the log transformation as
> >
> >lnRR = ln(RR) - NSE2 x (2 RR2) - 1
> >
> >However, the formula is not fully described and there is not no further
> >reference. I was trying to make sense of it but can not get good results.
> I
> >wonder if you have some references or thoughts about it?
> >
> >Thank you in advance,
> >
> >Greetings,
> >
> >Diego
>

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