bnma (version 1.6.0)

network.forest.plot: Draws forest plot

Description

Draws forest plot of pooled treatment effect. Reports odds ratio for binomial and multinomial outcomes and continuous scale for normal outcomes.

Usage

network.forest.plot(
  result,
  level = 0.95,
  ticks.position = NULL,
  label.multiplier = 0.2,
  label.margin = 10,
  title = "Network Meta-analysis Forest plot",
  only.reference.treatment = FALSE
)

Value

None

Arguments

result

Object created by network.run function

level

Confidence level. Default is 0.95 denoting 95 percent C.I.

ticks.position

Position of the x-axis tick marks. If left unspecified, the function tries to set it at sensible values

label.multiplier

This is a multiplying factor to move the position of the text associated with median[lower, upper] values. This number is multiplied by the range of x-axis and added to the x-axis limit. Default multiplier is set to 0.2.

label.margin

This is how much margin space you specify to assign space for the median[lower, upper] values. Default margin is set to 10.

title

Header name which you can modify

only.reference.treatment

Indicator for plotting only the comparison to the reference treatment

References

W. Viechtbauer (2010), Conducting meta-analyses in R with the metafor package, Journal of Statistical Software, 36(3):1-48. tools:::Rd_expr_doi("10.18637/jss.v036.i03")

Examples

network <- with(certolizumab, {
 network.data(Outcomes, Study, Treat, N=N, response="binomial", Treat.order,
 covariate = covariate, covariate.type = "continuous", hy.prior = list("dhnorm", 0, 9.77))
})
# \donttest{
result <- network.run(network)
network.forest.plot(result)
# }