rankogram: Generic function for rankograms

In netmeta: Network Meta-Analysis using Frequentist Methods

Generic function for rankograms

Description

Generic function to calculate the probabilities of each treatment being at each possible rank and the SUCRAs (Surface Under the Cumulative RAnking curve) in network meta-analysis.

Usage

rankogram(x, ...)

Arguments

x	An R object.
...	Additional arguments.

Details

For more details, look at the following functions to generate rankograms:

• rankogram.netmeta

• rankogram.default

Author(s)

Guido Schwarzer [e-mail]

References

Salanti G, Ades AE, Ioannidis JP (2011): Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. Journal of Clinical Epidemiology, 64, 163–71

See Also

netmeta, netrank, plot.rankogram, dat.woods2010

Examples

pw1 <- pairwise(treatment, event = r, n = N, studlab = author,
  data = dat.woods2010, sm = "OR")
net1 <- netmeta(pw1, small.values = "desirable")

set.seed(1909) # get reproducible results
ran1 <- rankogram(net1, nsim = 100)
ran1
print(ran1, cumulative.rankprob = TRUE)

plot(ran1)

netmeta documentation built on April 3, 2025, 6:12 p.m.