Print and summary method for objects of class netmeta
Print and summary method for objects of class netmeta.
## S3 method for class 'netmeta'
summary(
object,
comb.fixed = object$comb.fixed,
comb.random = object$comb.random,
prediction = object$prediction,
reference.group = object$reference.group,
baseline.reference = object$baseline.reference,
all.treatments = object$all.treatments,
...
)
## S3 method for class 'summary.netmeta'
print(
x,
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,
backtransf = x$backtransf,
nchar.trts = x$nchar.trts,
header = TRUE,
digits = gs("digits"),
digits.stat = gs("digits.stat"),
digits.pval = max(gs("digits.pval"), 2),
digits.pval.Q = max(gs("digits.pval.Q"), 2),
digits.Q = gs("digits.Q"),
digits.tau2 = gs("digits.tau2"),
digits.tau = gs("digits.tau"),
digits.I2 = gs("digits.I2"),
scientific.pval = gs("scientific.pval"),
big.mark = gs("big.mark"),
text.tau2 = gs("text.tau2"),
text.tau = gs("text.tau"),
text.I2 = gs("text.I2"),
legend = TRUE,
...
)object |
An object of class |
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 |
... |
Additional arguments. |
x |
An object of class |
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. |
header |
A logical indicating whether information on title of meta-analysis, comparison and outcome should be printed at the beginning of the printout. |
digits |
Minimal number of significant digits, see
|
digits.stat |
Minimal number of significant digits for tests
of overall effect, see |
digits.pval |
Minimal number of significant digits for p-value
of overall effects, 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.tau |
Minimal number of significant digits for square
root of 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. |
text.tau2 |
Text printed to identify between-study variance τ^2. |
text.tau |
Text printed to identify τ, the square root of the between-study variance τ^2. |
text.I2 |
Text printed to identify heterogeneity statistic I^2. |
legend |
A logical indicating whether a legend should be printed. |
A list is returned with the following elements:
comparison |
Results for pairwise comparisons (data frame with columns studlab, treat1, treat2, TE, seTE, lower, upper, z, p). |
comparison.nma.fixed |
Results for pairwise comparisons based on fixed effects model (data frame with columns studlab, treat1, treat2, TE, seTE, lower, upper, z, p, leverage). |
comparison.nma.random |
Results for pairwise comparisons based on random effects model (data frame with columns studlab, treat1, treat2, TE, seTE, lower, upper, z, p). |
fixed |
Results for fixed effects model (a list with elements TE, seTE, lower, upper, z, p). |
random |
Results for random effects model (a list with elements TE, seTE, lower, upper, z, p). |
predict |
Prediction intervals (a list with elements seTE, lower, upper). |
studies |
Study labels coerced into a factor with its levels sorted alphabetically. |
narms |
Number of arms for each study. |
k |
Total number of studies. |
m |
Total number of pairwise comparisons. |
n |
Total number of treatments. |
d |
Total number of designs (corresponding to the unique set of treatments compared within studies). |
Q |
Overall heterogeneity / inconsistency statistic. |
df.Q |
Degrees of freedom for test of heterogeneity / inconsistency. |
pval.Q |
P-value for test of heterogeneity / inconsistency. |
I2, lower.I2, upper.I2 |
I-squared, lower and upper confidence limits. |
tau |
Square-root of between-study variance. |
Q.heterogeneity |
Overall heterogeneity statistic. |
df.Q.heterogeneity |
Degrees of freedom for test of overall heterogeneity. |
pval.Q.heterogeneity |
P-value for test of overall heterogeneity. |
Q.inconsistency |
Overall inconsistency statistic. |
df.Q.inconsistency |
Degrees of freedom for test of overall inconsistency. |
pval.Q.inconsistency |
P-value for test of overall inconsistency. |
sm |
A character string indicating underlying summary measure. |
method |
A character string indicating which method is to be used for pooling of studies. |
level |
The level used to calculate confidence intervals for individual studies. |
level.comb |
The level used to calculate confidence intervals for pooled estimates. |
comb.fixed, comb.random |
As defined above. |
prediction, level.predict |
As defined above. |
reference.group, baseline.reference |
As defined above. |
all.treatments, backtransf |
As defined above. |
ci.lab |
Label for confidence interval. |
seq |
A character specifying the sequence of treatments. |
tau.preset |
An optional value for the square-root of the between-study variance τ^2. |
sep.trts |
A character used in comparison names as separator between treatment labels. |
nchar.trts |
A numeric defining the minimum number of characters used to create unique treatment names. |
title |
Title of meta-analysis / systematic review. |
call |
Function call. |
version |
Version of R package netmeta used to create object. |
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)
summary(net1)
## 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)
summary(net2)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.