netmeta
.## S3 method for class 'netmeta':
print(x, sortvar, level=x$level, level.comb=x$level.comb,
comb.fixed=x$comb.fixed, comb.random=x$comb.random,
reference.group=x$reference.group, all.treatments=x$all.treatments,
details=TRUE, ma=TRUE, logscale=FALSE,
digits=max(4, .Options$digits - 3), ...)## S3 method for class 'netmeta':
summary(object,
level=object$level, level.comb=object$level.comb,
comb.fixed=object$comb.fixed, comb.random=object$comb.random,
reference.group=object$reference.group, all.treatments=object$all.treatments,
warn=object$warn, ...)
## S3 method for class 'summary.netmeta':
print(x, comb.fixed=x$comb.fixed, comb.random=x$comb.random,
reference.group=x$reference.group, all.treatments=x$all.treatments,
logscale=FALSE, header=TRUE, digits=max(3, .Options$digits - 3), ...)
netmeta
or summary.netmeta
.netmeta
.x$TE
)."NULL"
. If
TRUE
, matrices with all treatment effects, and confidence
limits will be printed.print.default
.summary.meta
in connection with metacum
or
metainf
should result in a warning.summary.netmeta
with the
following elements:"NULL"
. If
TRUE
, matrices with all treatment effects, and confidence
limits will be printed."NULL"
. If
TRUE
, matrices with all treatment effects, and confidence
limits will be printed.netmeta
data(Senn2013)
##
## Fixed effect model (default)
##
net1 <- netmeta(TE, seTE, treat1, treat2, studlab,
data=Senn2013, sm="MD")
print(net1, ref="plac", digits=3)
summary(net1)
##
## Random effects model
##
net2 <- netmeta(TE, seTE, treat1, treat2, studlab,
data=Senn2013, sm="MD", comb.random=TRUE)
print(net2, ref="plac", digits=3)
summary(net2)
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