netmeta: netbind – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

netbind

Combine network meta-analysis objects

Description

This function can be used to combine network meta-analysis objects which is especially useful to generate a forest plot with results of several network meta-analyses.

Usage

netbind(
  ...,
  name,
  comb.fixed,
  comb.random,
  col.study = "black",
  col.inside = "white",
  col.square = "gray",
  col.square.lines = col.square,
  backtransf,
  reference.group,
  baseline.reference
)

Arguments

`...`	Any number of meta-analysis objects or a single list with network meta-analyses.
`name`	An optional character vector providing descriptive names for the network meta-analysis objects.
`comb.fixed`	A logical indicating whether results for the fixed effects (common effects) model should be reported.
`comb.random`	A logical indicating whether results for the random effects model should be reported.
`col.study`	The colour for network estimates and confidence limits.
`col.inside`	The colour for network estimates and confidence limits if confidence limits are completely within squares.
`col.square`	The colour for squares.
`col.square.lines`	The colour for the outer lines of squares.
`backtransf`	A logical indicating whether results should be back transformed. If `backtransf = TRUE` (default), results for `sm = "OR"` are printed as odds ratios rather than log odds ratios, for example.
`reference.group`	Reference treatment.
`baseline.reference`	A logical indicating whether results should be expressed as comparisons of other treatments versus the reference treatment (default) or vice versa. This argument is only considered if `reference.group` has been specified.

Value

An object of class "netbind" with corresponding forest function. The object is a list containing the following components:

`fixed`	A data frame with results for the fixed effects model.
`random`	A data frame with results for the random effects model.
`sm`	Summary measure used in network meta-analyses.
`level.comb`	Level for confidence intervals.
`comb.fixed, comb.random, backtransf`	As defined above.
`reference.group, baseline.reference`	As defined above.

Author(s)

Guido Schwarzer sc@imbi.uni-freiburg.de

Examples

data(Linde2016)

# Only consider studies including Face-to-face PST (to reduce
# runtime of example)
#
face <- subset(Linde2016, id %in% c(16, 24, 49, 118))

# Standard random effects NMA model (with placebo as reference
# treatment)
#
net1 <- netmeta(lnOR, selnOR, treat1, treat2, id,
                data = face, reference.group = "placebo",
                sm = "OR", comb.fixed = FALSE)

# Additive CNMA model with placebo as inactive component and
# reference
#
nc1 <- netcomb(net1, inactive = "placebo")

# Combine results of standard NMA and CNMA
#
nb1 <- netbind(nc1, net1,
               name = c("Additive CNMA", "Standard NMA"),
               col.study = c("red", "black"),
               col.square = c("red", "black"))
forest(nb1,
       col.by = "black", addrow.subgroups = FALSE,
       fontsize = 10, spacing = 0.7, squaresize = 0.9,
       label.left = "Favours Placebo",
       label.right = "Favours other")

netmeta

Network Meta-Analysis using Frequentist Methods

v1.4-0

GPL (>= 2)

Authors

Gerta Rücker [aut] (<https://orcid.org/0000-0002-2192-2560>), Ulrike Krahn [aut], Jochem König [aut] (<https://orcid.org/0000-0003-4683-0360>), Orestis Efthimiou [aut] (<https://orcid.org/0000-0002-0955-7572>), Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>)

Initial release

2021-05-11