View source: R/summary.crossnma.model.R
summary.crossnma.model | R Documentation |
Summary function for crossnma.model object
## S3 method for class 'crossnma.model'
summary(object, ...)
object |
An object generated by the
|
... |
Additional arguments (ignored) |
Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
print.summary.crossnma.model
# We conduct a network meta-analysis assuming a random-effects
# model.
# The data comes from randomized-controlled trials and
# non-randomized studies (combined naively)
head(ipddata) # participant-level data
stddata # study-level data
# Create a JAGS model
mod <- crossnma.model(treat, id, relapse, n, design,
prt.data = ipddata, std.data = stddata,
reference = "A", trt.effect = "random", method.bias = "naive")
summary(mod)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.