Print method for objects of class summary.meta.
# S3 method for summary.meta
print(
x,
sortvar,
common = x$x$common,
random = x$x$random,
details = FALSE,
ma = TRUE,
overall = x$overall,
backtransf = x$backtransf,
pscale = x$pscale,
irscale = x$irscale,
irunit = x$irunit,
digits = gs("digits"),
digits.se = gs("digits.se"),
digits.pval = max(gs("digits.pval"), 2),
digits.tau2 = gs("digits.tau2"),
digits.tau = gs("digits.tau"),
digits.I2 = gs("digits.I2"),
digits.prop = gs("digits.prop"),
digits.weight = gs("digits.weight"),
scientific.pval = gs("scientific.pval"),
zero.pval = gs("zero.pval"),
JAMA.pval = gs("JAMA.pval"),
big.mark = gs("big.mark"),
text.tau2 = gs("text.tau2"),
text.tau = gs("text.tau"),
text.I2 = gs("text.I2"),
truncate,
text.truncate = "*** Output truncated ***",
details.methods = TRUE,
warn.backtransf = FALSE,
...
)An object of class summary.meta
An optional vector used to sort the individual
studies (must be of same length as x$TE).
A logical indicating whether a common effect meta-analysis should be conducted.
A logical indicating whether a random effects meta-analysis should be conducted.
A logical indicating whether further details of individual studies should be printed.
A logical indicating whether the summary results of the meta-analysis should be printed.
A logical indicating whether overall summaries should be reported. This argument is useful in a meta-analysis with subgroups if overall results should not be reported.
A logical indicating whether printed results
should be back transformed. If backtransf = TRUE, results
for sm = "OR" are printed as odds ratios rather than log
odds ratios and results for sm = "ZCOR" are printed as
correlations rather than Fisher's z transformed correlations, for
example.
A numeric giving scaling factor for printing of
single event probabilities or risk differences, i.e. if argument
sm is equal to "PLOGIT", "PLN",
"PRAW", "PAS", "PFT", or "RD".
A numeric defining a scaling factor for printing of
single incidence rates or incidence rate differences, i.e. if
argument sm is equal to "IR", "IRLN",
"IRS", "IRFT", or "IRD".
A character specifying the time unit used to calculate rates, e.g. person-years.
Minimal number of significant digits, see
print.default.
Minimal number of significant digits for standard
deviations and standard errors, see print.default.
Minimal number of significant digits for p-value
of test of treatment effect, see print.default.
Minimal number of significant digits for
between-study variance, see print.default.
Minimal number of significant digits for square
root of between-study variance, see print.default.
Minimal number of significant digits for I-squared
and Rb statistic, see print.default.
Minimal number of significant digits for
proportions, see print.default.
Minimal number of significant digits for
weights, see print.default.
A logical specifying whether p-values should be printed in scientific notation, e.g., 1.2345e-01 instead of 0.12345.
A logical specifying whether p-values should be printed with a leading zero.
A logical specifying whether p-values for test of overall effect should be printed according to JAMA reporting standards.
A character used as thousands separator.
Text printed to identify between-study variance \(\tau^2\).
Text printed to identify \(\tau\), the square root of the between-study variance \(\tau^2\).
Text printed to identify heterogeneity statistic I\(^2\).
An optional vector used to truncate the printout of
results for individual studies (must be a logical vector of same
length as x$TE or contain numerical values).
A character string printed if study results were truncated from the printout.
A logical specifying whether details on statistical methods should be printed.
Deprecated argument (ignored).
Additional arguments (passed on to
print.meta called internally).
Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
Print method for objects of class summary.meta giving
detailed information on the meta-analysis.
Argument pscale can be used to rescale single proportions or
risk differences, e.g. pscale = 1000 means that proportions
are expressed as events per 1000 observations. This is useful in
situations with (very) low event probabilities.
Argument irscale can be used to rescale single rates or rate
differences, e.g. irscale = 1000 means that rates are
expressed as events per 1000 time units, e.g. person-years. This is
useful in situations with (very) low rates. Argument irunit
can be used to specify the time unit used in individual studies
(default: "person-years"). This information is printed in summaries
and forest plots if argument irscale is not equal to 1.
Cooper H & Hedges LV (1994), The Handbook of Research Synthesis. Newbury Park, CA: Russell Sage Foundation.
Crippa A, Khudyakov P, Wang M, Orsini N, Spiegelman D (2016), A new measure of between-studies heterogeneity in meta-analysis. Statistics in Medicine, 35, 3661--75.
Higgins JPT & Thompson SG (2002), Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21, 1539--58.
summary.meta, update.meta,
metabin, metacont,
metagen
data(Fleiss1993cont)
m1 <- metacont(n.psyc, mean.psyc, sd.psyc, n.cont, mean.cont, sd.cont,
data = Fleiss1993cont, sm = "SMD", studlab = paste(study, year))
sm1 <- summary(m1)
sm1
print(sm1, digits = 2)
if (FALSE) {
# Use unicode characters to print tau^2, tau, and I^2
print(sm1,
text.tau2 = "\u03c4\u00b2",
text.tau = "\u03c4", text.I2 = "I\u00b2")
}
Run the code above in your browser using DataLab