-----Original Message-----
From: Andrzej Andrzej <xaf3111.developers at gmail.com>
Sent: Thursday, November 2, 2023 09:25
To: Viechtbauer, Wolfgang (NP) <wolfgang.viechtbauer at maastrichtuniversity.nl>
Subject: Re: [R-meta] "Favours experimental/vaccinated", "Favours control" -
Metafor
That's true, thank you,
I want to have RR as well ( all in one dataframe). When I do this:
dat2 <- escalc(measure = "RR", ai = tpos, bi = tneg, ci = cpos, di = cneg, data
= dat.bcg, append = TRUE) %>% mutate(RR = exp(.$yi))
It gives me Relative Risk and then when I do: summary(dat2) indeed I have got
CIs for log(RR) but there are no CIs for RR.
Do I have to calculate them manually ? Or is it a way to extract them from
forest plot object somehow ?
best,
Andrzej
czw., 2 lis 2023 o 08:53 Viechtbauer, Wolfgang (NP)
<mailto:wolfgang.viechtbauer at maastrichtuniversity.nl> napisa?(a):
If you use summary() on an 'escalc' object, you get the CIs.
Best,
Wolfgang
-----Original Message-----
From: Andrzej Andrzej <mailto:xaf3111.developers at gmail.com>
Sent: Wednesday, November 1, 2023 19:39
To: Michael Dewey <mailto:lists at dewey.myzen.co.uk>
Cc: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis at r-
http://project.org>; Viechtbauer, Wolfgang (NP)
<mailto:wolfgang.viechtbauer at maastrichtuniversity.nl>
Subject: Re: [R-meta] "Favours experimental/vaccinated", "Favours control" -
Metafor
Hi,
Is there a way using escalc function to get CI for log RR as well, apart from
log RR itself ?
I would like to get RR with CI too. Is it a way to do it and append it all to
bcg data ?
bets,
Andrzej