netmeta (version 1.2-1)

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 (see Details).

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.

See Also

netmeta, netcomb, discomb, forest.netbind

Examples

# NOT RUN {
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")

# }

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