Print results of network meta-analysis
Print method for objects of class netmeta.
## S3 method for class 'netmeta'
print(
x,
sortvar,
comb.fixed = x$comb.fixed,
comb.random = x$comb.random,
prediction = x$prediction,
reference.group = x$reference.group,
baseline.reference = x$baseline.reference,
all.treatments = x$all.treatments,
details = TRUE,
ma = TRUE,
backtransf = x$backtransf,
nchar.trts = x$nchar.trts,
digits = gs("digits"),
digits.se = gs("digits.se"),
digits.pval.Q = max(gs("digits.pval.Q"), 2),
digits.Q = gs("digits.Q"),
digits.tau2 = gs("digits.tau2"),
digits.I2 = gs("digits.I2"),
scientific.pval = gs("scientific.pval"),
big.mark = gs("big.mark"),
truncate,
text.truncate = "*** Output truncated ***",
legend = TRUE,
...
)x |
An object of class |
sortvar |
An optional vector used to sort individual studies
(must be of same length as |
comb.fixed |
A logical indicating whether results for the fixed effects (common effects) model should be printed. |
comb.random |
A logical indicating whether results for the random effects model should be printed. |
prediction |
A logical indicating whether prediction intervals should be printed. |
reference.group |
Reference treatment. |
baseline.reference |
A logical indicating whether results
should be expressed as comparisons of other treatments versus the
reference treatment (default) or vice versa. This argument is
only considered if |
all.treatments |
A logical or |
details |
A logical indicating whether further details for individual studies should be printed. |
ma |
A logical indicating whether summary results of meta-analysis should be printed. |
backtransf |
A logical indicating whether results should be
back transformed in printouts and forest plots. If
|
nchar.trts |
A numeric defining the minimum number of characters used to create unique treatment names. |
digits |
Minimal number of significant digits, see
|
digits.se |
Minimal number of significant digits for standard
deviations and standard errors, see |
digits.pval.Q |
Minimal number of significant digits for
p-value of heterogeneity tests, see |
digits.Q |
Minimal number of significant digits for
heterogeneity statistics, see |
digits.tau2 |
Minimal number of significant digits for
between-study variance, see |
digits.I2 |
Minimal number of significant digits for I-squared
statistic, see |
scientific.pval |
A logical specifying whether p-values should be printed in scientific notation, e.g., 1.2345e-01 instead of 0.12345. |
big.mark |
A character used as thousands separator. |
truncate |
An optional vector used to truncate the printout of
results for individual studies (must be a logical vector of same
length as |
text.truncate |
A character string printed if study results were truncated from the printout. |
legend |
A logical indicating whether a legend should be printed. |
... |
Additional arguments. |
Guido Schwarzer sc@imbi.uni-freiburg.de
data(Senn2013)
# Conduct fixed effects network meta-analysis
#
net1 <- netmeta(TE, seTE, treat1, treat2, studlab,
data = Senn2013, sm = "MD",
comb.random = FALSE)
print(net1, ref = "plac", digits = 3)
# Only show individual study results for multi-arm studies
#
print(net1, ref = "plac", digits = 3, truncate = multiarm)
# Only show first three individual study results
#
print(net1, ref = "plac", digits = 3, truncate = 1:3)
# Only show individual study results for Kim2007 and Willms1999
#
print(net1, ref = "plac", digits = 3,
truncate = c("Kim2007", "Willms1999"))
# Only show individual study results for studies starting with the
# letter "W"
#
print(net1, ref = "plac", digits = 3,
truncate = substring(studlab, 1, 1) == "W")
## Not run:
# Conduct random effects network meta-analysis
#
net2 <- netmeta(TE, seTE, treat1, treat2, studlab,
data = Senn2013, sm = "MD",
comb.fixed = FALSE)
print(net2, ref = "plac", digits = 3)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.