netmeta (version 1.2-1)

netimpact: Determine the importance of individual studies in network meta-analysis

Description

This function measures the importance of individual studies in network meta-analysis by the reduction of the precision if the study is removed / ignored from the network.

Usage

netimpact(x, seTE.ignore = 10000, event.ignore = 0.01, verbose = FALSE)

Arguments

x

An object of class netmeta.

seTE.ignore

Assumed (large) standard error in order to mimicking the removal of individual studies from the network meta-analysis (ignored for netmetabin objects).

event.ignore

Assumed event number mimicking the removal of individual studies from the network meta-analysis (considered for netmetabin objects).

verbose

A logical indicating whether information on the estimation progress should be printed.

Value

An object of class "netimpact" with corresponding netgraph and print function. The object is a list containing the following components:

impact.fixed

A matrix with contributions of individual studies (columns) to comparisons (rows) under the fixed effects model.

impact.random

A matrix with contributions of individual studies (columns) to comparisons (rows) under the random effects model.

ignored.comparisons

List with comparisons of ignored study.

seTE.ignore, event.ignore, x

As defined above.

nets

List of all network meta-analyses (removing a single study).

version

Version of R package netmeta used to create object.

See Also

netmeta, netmetabin, netgraph.netimpact, print.netimpact

Examples

# NOT RUN {
data(parkinson)

# Only consider first four studies (to reduce runtime of example)
#
p1 <- pairwise(list(Treatment1, Treatment2, Treatment3),
               n = list(n1, n2, n3),
               mean = list(y1, y2, y3),
               sd = list(sd1, sd2, sd3),
               data = subset(parkinson, Study < 5),
               studlab = Study)

net1 <- netmeta(p1)
ni1 <- netimpact(net1, verbose = TRUE)
ni1

netgraph(ni1)

# }

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