View source: R/metabias.netmeta.R
metabias.netmeta | R Documentation |
Test of funnel plot asymmetry in network meta-analysis
## S3 method for class 'netmeta'
metabias(
x,
order,
pooled = ifelse(x$random, "random", "common"),
method.bias = "Egger",
lump.comparator = FALSE,
...
)
x |
An object of class |
order |
A mandatory character or numerical vector specifying the order of treatments or list of comparators (see Details). |
pooled |
A character string indicating whether results for the
common ( |
method.bias |
A character vector indicating which test(s) for
funnel plot asymmatrx to use. Admissible values are
|
lump.comparator |
A logical indicating whether comparators should be lumped, e.g., to specify inactive treatments. information on direct comparisons should be added to the plot. |
... |
Additional arguments (passed on to
|
Test of funnel plot asymmetry in network meta-analysis
Argument order
is mandatory to determine the order of
treatments (Chaimani et al., 2013):
“[...] investigators should order the treatments in a meaningful way and make assumptions about how small studies differ from large ones. For example, if they anticipate that newer treatments are favored in small trials, then they could name the treatments from oldest to newest so that all comparisons refer to ‘old versus new intervention’. Other possibilities include defining the comparisons so that all refer to an active treatment versus placebo or sponsored versus non-sponsored intervention.”
Alternatively, it is possible to only provide a single or few
treatment name(s) in argument order
to define the
comparator(s). In this case only comparisons with this / these
treatment(s) will be considered. If argument lump.comparator
is TRUE
, all comparators will be lumped into a single
group.
A list with class metabias
containing the following
components if a test for funnel plot asymmetry is conducted:
statistic |
Test statistic. |
df |
The degrees of freedom of the test statistic in the case that it follows a t distribution. |
pval |
The p-value for the test. |
estimate |
Estimates used to calculate test statisic. |
method |
A character string indicating what type of test was used. |
title |
Title of Cochrane review. |
complab |
Comparison label. |
outclab |
Outcome label. |
var.model |
A character string indicating whether none, multiplicative, or additive residual heterogeneity variance was assumed. |
method.bias |
As defined above. |
x |
Network meta-analysis object. |
version |
Version of R package meta used to create object. |
version.netmeta |
Version of R package netmeta used to create object. |
Or a list with the following elements if test is not conducted due to the number of studies:
k |
Number of comparisons. |
k.min |
Minimum number of comparisons to perform test for funnel plot asymmetry. |
version |
Version of R package meta used to create object. |
version.netmeta |
Version of R package netmeta used to create object. |
Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
Chaimani A & Salanti G (2012): Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions. Research Synthesis Methods, 3, 161–76
Chaimani A, Higgins JP, Mavridis D, Spyridonos P, Salanti G (2013): Graphical tools for network meta-analysis in STATA. PLOS ONE, 8, e76654
netmeta
, funnel.netmeta
,
metabias
## Not run:
data(Senn2013)
net1 <- netmeta(TE, seTE, treat1, treat2, studlab,
data = Senn2013, sm = "MD")
# Test for asymmetry in 'comparison-adjusted' funnel plot not
# conducted as argument 'order' is missing
#
try(metabias(net1))
# Test for funnel plot asymmetry comparing active treatments with
# placebo
metabias(net1, order = "pl")
# Rank test
#
metabias(net1, order = "pl", method.bias = "Begg")
# Test for funnel plot asymmetry based on (non-sensical) alphabetic
# order of treatments with placebo as last treatment
#
ord <- c("a", "b", "me", "mi", "pi", "r", "si", "su", "v", "pl")
metabias(net1, order = ord)
## End(Not run)
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