plot.bestk.poth {poth} | R Documentation |
Plot best k treatments precision of treatment hierarchy (POTH) values
Description
Plot best k treatments precision of treatment hierarchy (POTH) values
Usage
## S3 method for class 'bestk.poth'
plot(x, labels = FALSE, nchar.trts = 4, digits = 3, ...)
Arguments
x |
R object of class |
labels |
A logical indicating whether treatment names should be shown in the plot. |
nchar.trts |
Number of characters to keep for each treatment name if labels = TRUE. |
digits |
Minimal number of significant digits for best k treatments POTH, see
|
... |
Additional arguments (ignored). |
Details
Plot results of best k treatments method for precision of treatment hierarchy (POTH) metric (Wigle et al., 2024).
Value
A ggplot2 object.
Author(s)
Augustine Wigle amhwigle@uwaterloo.ca, Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
References
Wigle A, Béliveau A, Salanti G, Rücker G, Schwarzer G, Mavridis D, Nikolakopoulou A (2024): Precision of treatment hierarchy: A metric for quantifying uncertainty in treatment hierarchies in network meta-analysis. Preprint on arXiv, doi:10.48550/arXiv.2501.11596
Examples
library("netmeta")
data(Senn2013)
net1 <- netmeta(TE, seTE, treat1.long, treat2.long, studlab,
data = Senn2013, sm = "MD", random = FALSE)
# Best k treatments method
bk1 <- bestk(poth(net1))
bk1
plot(bk1)
plot(bk1, labels = TRUE)
bk2 <- bestk(poth(net1), sort = FALSE)
bk2
plot(bk2)
plot(bk2, labels = TRUE)