Determine the importance of individual studies in network meta-analysis
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.
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
meta-analysis (ignored for |
event.ignore |
Assumed event number mimicking the removal of
individual studies from the network meta-analysis (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.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. |
Guido Schwarzer sc@imbi.uni-freiburg.de, Gerta Rücker ruecker@imbi.uni-freiburg.de
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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