print.crossnma function

Print results of cross-design & -format network meta-analysis or regression

Print call used to create JAGS model for cross-design & -format network meta-analysis or regression

## S3 method for class 'crossnma'
print(x, backtransf = x$model$backtransf, digits = gs("digits"), ...)

Arguments

• x: An object of class crossnma.
• backtransf: A logical indicating whether results should be back transformed. If backtransf = TRUE, results for sm = "OR" are presented as odds ratios rather than log odds ratios, for example.
• digits: The number of significant digits printed.
• ...: Additional arguments.

Returns

No return value (print function).

Examples

## Not run:

# 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")

# Fit JAGS model
# (suppress warning 'Adaptation incomplete' due to n.adapt = 20)
fit <-
  suppressWarnings(crossnma(mod))
fit
## End(Not run)

See Also

crossnma

Author(s)

Tasnim Hamza hamza.a.tasnim@gmail.com , Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de