Message-ID: <4915cf81-b0f2-420e-3b2d-b236e1b924b8@dewey.myzen.co.uk>
Date: 2023-03-21T10:24:27Z
From: Michael Dewey
Subject: [R-meta] Add risk of bias to meta's default forest plot
In-Reply-To: <41e697a35bea42a6bd195c0da0e66db4@uniklinik-freiburg.de>
Nice to see you back on the list again Gerta.
On 20/03/2023 21:42, Dr. Gerta R?cker via R-sig-meta-analysis wrote:
> Hi Jorge,
>
> you can do this using the arguments rightcols and rightlabs (or leftcols and leftlabs). For example, take the first meta-analysis in the help file of metacont():
>
> data(Fleiss1993cont)
> # Meta-analysis with Hedges' g as effect measure
> #
> m1 <- metacont(n.psyc, mean.psyc, sd.psyc, n.cont, mean.cont, sd.cont,
> data = Fleiss1993cont, sm = "SMD")
> rob <- LETTERS[1:5] # Only as an example
> m1$rob <- rob # rob must be a part of the meta-analysis object
> forest(m1, rightcols = c("effect", "ci", "w.random", "rob"),
> rightlabs = c("SMD", "95%-CI", "Weight (random)", "Risk of bias"))
>
> Note that the column names "effect", "ci", "w.random" are fixed names, as seen in the help of forest.meta().
>
> Best,
> Gerta
>
>
>
> UNIVERSIT?TSKLINIKUM FREIBURG
> Institute for Medical Biometry and Statistics
>
> Dr. Gerta R?cker
> Guest Scientist
>
> Stefan-Meier-Stra?e 26 ? 79104 Freiburg
> gerta.ruecker at uniklinik-freiburg.de
>
> https://www.uniklinik-freiburg.de/imbi-en/employees.html?imbiuser=ruecker
>
>
> -----Urspr?ngliche Nachricht-----
> Von: Jorge Teixeira via R-sig-meta-analysis <r-sig-meta-analysis at r-project.org>
> Gesendet: Montag, 20. M?rz 2023 18:42
> An: R meta <r-sig-meta-analysis at r-project.org>
> Cc: Jorge Teixeira <jorgemmtteixeira at gmail.com>
> Betreff: [R-meta] Add risk of bias to meta's default forest plot
>
> Hi All. Can anyone tell me how to add risk of bias to a meta.cont default
> forest plot, without removing any of the typical information?
>
> I was able to add it, but not without removing some other details, which I
> don't want to do.
>
> vo2 <- metacont(en , em, esd, cn, cm, csd, study, method.tau = "REML",
> prediction = TRUE, comb.random = TRUE, data = dat_vo2, sm = "MD")
> vo2
>
> forest.meta(vo2,
> sortvar = study)
>
> In this case, I have that information in variable "rob".
>
> Thank you.
>
> [[alternative HTML version deleted]]
>
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--
Michael
http://www.dewey.myzen.co.uk/home.html