[R-meta] Add risk of bias to meta's default forest plot

[Jorge Teixeira]

Dear Gerta, perfect!  Thank you.

Dr. Gerta Rücker <gerta.ruecker using uniklinik-freiburg.de> escreveu no dia
segunda, 20/03/2023 à(s) 21:42:

> 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
>
>
>
> UNIVERSITÄTSKLINIKUM FREIBURG
> Institute for Medical Biometry and Statistics
>
> Dr. Gerta Rücker
> Guest Scientist
>
> Stefan-Meier-Straße 26 · 79104 Freiburg
> gerta.ruecker using uniklinik-freiburg.de
>
> https://www.uniklinik-freiburg.de/imbi-en/employees.html?imbiuser=ruecker
>
>
> -----Ursprüngliche Nachricht-----
> Von: Jorge Teixeira via R-sig-meta-analysis <
> r-sig-meta-analysis using r-project.org>
> Gesendet: Montag, 20. März 2023 18:42
> An: R meta <r-sig-meta-analysis using r-project.org>
> Cc: Jorge Teixeira <jorgemmtteixeira using 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.
>
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