netimpact  R Documentation 
This function measures the importance of individual studies in network metaanalysis by the reduction of the precision if the study is removed / ignored from the network.
netimpact( x, seTE.ignore = 100 * max(x$seTE, na.rm = TRUE), event.ignore = 0.01, verbose = FALSE )
x 
An object of class 
seTE.ignore 
Assumed (large) standard error in order to
mimicking the removal of individual studies from the network
metaanalysis (ignored for 
event.ignore 
Assumed event number mimicking the removal of
individual studies from the network metaanalysis (considered for

verbose 
A logical indicating whether information on the estimation progress should be printed. 
An object of class "netimpact"
with corresponding
netgraph
and print
function. The object is a list
containing the following components:
impact.common 
A matrix with contributions of individual studies (columns) to comparisons (rows) under the common 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 metaanalyses (removing a single study). 
version 
Version of R package netmeta used to create object. 
Guido Schwarzer sc@imbi.unifreiburg.de, Gerta Rücker ruecker@imbi.unifreiburg.de
netmeta
, netmetabin
,
netgraph.netimpact
, print.netimpact
data(Franchini2012) # Only consider first two studies (to reduce runtime of example) # studies < unique(Franchini2012$Study) p1 < pairwise(list(Treatment1, Treatment2, Treatment3), n = list(n1, n2, n3), mean = list(y1, y2, y3), sd = list(sd1, sd2, sd3), data = subset(Franchini2012, Study %in% studies[1:2]), studlab = Study) net1 < netmeta(p1) ni1 < netimpact(net1, verbose = TRUE) ni1 netgraph(ni1)
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