Print results of a leave-one-out meta-analysis
# S3 method for metainf
print(
x,
prediction = x$prediction,
overall = x$overall,
backtransf = x$backtransf,
header = TRUE,
lab.NA = ".",
digits = gs("digits"),
digits.stat = gs("digits.stat"),
digits.pval = gs("digits.pval"),
digits.tau2 = gs("digits.tau2"),
digits.tau = gs("digits.tau"),
digits.I2 = gs("digits.I2"),
digits.cid = gs("digits.cid"),
digits.percent = 1,
big.mark = gs("big.mark"),
scientific.pval = gs("scientific.pval"),
zero.pval = gs("zero.pval"),
JAMA.pval = gs("JAMA.pval"),
print.stat = FALSE,
print.tau2 = TRUE,
print.tau2.ci = FALSE,
print.tau = TRUE,
print.tau.ci = FALSE,
print.I2 = TRUE,
print.I2.ci = FALSE,
print.prob = TRUE,
text.tau2 = gs("text.tau2"),
text.tau = gs("text.tau"),
text.I2 = gs("text.I2"),
details.methods = gs("details"),
...
)An object of class metainf.
A logical indicating whether prediction intervals should be printed.
A logical indicating whether overall results should be printed.
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, for example.
A logical indicating whether information on title of meta-analysis, comparison and outcome should be printed at the beginning of the printout.
A character string to label missing values.
Minimal number of significant digits, see
print.default.
Minimal number of significant digits for z- or
t-value of test for overall effect, see print.default.
Minimal number of significant digits for p-value
of overall treatment effect, see print.default.
Minimal number of significant digits for
between-study variance \(\tau^2\), see print.default.
Minimal number of significant digits for \(\tau\), the square root of the between-study variance \(\tau^2\).
Minimal number of significant digits for I-squared
and Rb statistic, see print.default.
Minimal number of significant digits for
CID / decision thresholds, see print.default.
Minimal number of significant digits for
probabilities, printed as percentages, see print.default.
A character used as thousands separator.
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 logical value indicating whether z- or t-value for test of treatment effect should be printed.
A logical specifying whether between-study variance \(\tau^2\) should be printed.
A logical value indicating whether to print the confidence interval of \(\tau^2\).
A logical specifying whether \(\tau\), the square root of the between-study variance \(\tau^2\), should be printed.
A logical value indicating whether to print the confidence interval of \(\tau\).
A logical specifying whether heterogeneity statistic I\(^2\) should be printed.
A logical specifying whether confidence interval for heterogeneity statistic I\(^2\) should be printed.
A logical specifying whether to print probabilities of clinically important benefit or harm.
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\(^2\).
A logical specifying whether details on statistical methods should be printed.
Additional arguments (ignored).
Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
metainf, settings.meta
data(Fleiss1993bin)
m1 <- metabin(d.asp, n.asp, d.plac, n.plac,
data = Fleiss1993bin, studlab = study, sm = "RR", method = "I")
m1
metainf(m1)
metainf(m1, pooled = "random")
metainf(m1, pooled = "random", prediction = TRUE)
Run the code above in your browser using DataLab