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$digits - 3), ...)
"summary"(object, level=object$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, ...)
"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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