Summary method for objects of class netcomb
Summary method for objects of class netcomb.
## S3 method for class 'netcomb'
summary(
object,
comb.fixed = object$comb.fixed,
comb.random = object$comb.random,
...
)
## S3 method for class 'summary.netcomb'
print(
x,
comb.fixed = x$comb.fixed,
comb.random = x$comb.random,
backtransf = x$backtransf,
nchar.trts = x$nchar.trts,
digits = gs("digits"),
digits.stat = gs("digits.stat"),
digits.pval = gs("digits.pval"),
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"),
...
)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. |
... |
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 (see Details). |
digits |
Minimal number of significant digits, see
|
digits.stat |
Minimal number of significant digits for z- or
t-value, see |
digits.pval |
Minimal number of significant digits for p-value
of overall treatment effect, 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. |
A list is returned with the same elements as a
netcomb object.
Guido Schwarzer sc@imbi.uni-freiburg.de
data(Linde2016)
# Only consider studies including Face-to-face PST (to reduce
# runtime of example)
#
face <- subset(Linde2016, id %in% c(16, 24, 49, 118))
# Conduct random effects network meta-analysis
#
net1 <- netmeta(lnOR, selnOR, treat1, treat2, id,
data = face, reference.group = "placebo",
sm = "OR", comb.fixed = FALSE)
# Additive model for treatment components
#
nc1 <- netcomb(net1)
summary(nc1)
print(summary(nc1), digits = 2, digits.stat = 3)
## Not run:
# Conduct random effects network meta-analysis
#
net2 <- netmeta(lnOR, selnOR, treat1, treat2, id,
data = Linde2016, reference.group = "placebo",
sm = "OR", comb.fixed = FALSE)
# Additive model for treatment components
#
nc2 <- netcomb(net2)
summary(nc2)
print(summary(nc2), digits = 2, digits.stat = 3)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.