print.metacum: Print results of a cumulative meta-analysis
In guido-s/meta: General Package for Meta-Analysis

print.metacum

R Documentation

Print results of a cumulative meta-analysis

Description

Print results of a cumulative meta-analysis

Usage

## S3 method for class 'metacum'
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"),
  ...
)

Arguments

`x`	An object of class `metacum`.
`prediction`	A logical indicating whether prediction intervals should be printed.
`overall`	A logical indicating whether overall results should be printed.
`backtransf`	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.
`header`	A logical indicating whether information on title of meta-analysis, comparison and outcome should be printed at the beginning of the printout.
`lab.NA`	A character string to label missing values.
`digits`	Minimal number of significant digits, see `print.default`.
`digits.stat`	Minimal number of significant digits for z- or t-value of test for overall effect, see `print.default`.
`digits.pval`	Minimal number of significant digits for p-value of overall treatment effect, see `print.default`.
`digits.tau2`	Minimal number of significant digits for between-study variance `\tau^2`, see `print.default`.
`digits.tau`	Minimal number of significant digits for `\tau`, the square root of the between-study variance `\tau^2`.
`digits.I2`	Minimal number of significant digits for I-squared and Rb statistic, see `print.default`.
`digits.cid`	Minimal number of significant digits for CID / decision thresholds, see `print.default`.
`digits.percent`	Minimal number of significant digits for probabilities, printed as percentages, see `print.default`.
`big.mark`	A character used as thousands separator.
`scientific.pval`	A logical specifying whether p-values should be printed in scientific notation, e.g., 1.2345e-01 instead of 0.12345.
`zero.pval`	A logical specifying whether p-values should be printed with a leading zero.
`JAMA.pval`	A logical specifying whether p-values for test of overall effect should be printed according to JAMA reporting standards.
`print.stat`	A logical value indicating whether z- or t-value for test of treatment effect should be printed.
`print.tau2`	A logical specifying whether between-study variance `\tau^2` should be printed.
`print.tau2.ci`	A logical value indicating whether to print the confidence interval of `\tau^2`.
`print.tau`	A logical specifying whether `\tau`, the square root of the between-study variance `\tau^2`, should be printed.
`print.tau.ci`	A logical value indicating whether to print the confidence interval of `\tau`.
`print.I2`	A logical specifying whether heterogeneity statistic I`^2` should be printed.
`print.I2.ci`	A logical specifying whether confidence interval for heterogeneity statistic I`^2` should be printed.
`print.prob`	A logical specifying whether to print probabilities of clinically important benefit or harm.
`text.tau2`	Text printed to identify between-study variance `\tau^2`.
`text.tau`	Text printed to identify `\tau`, the square root of the between-study variance `\tau^2`.
`text.I2`	Text printed to identify heterogeneity statistic I`^2`.
`details.methods`	A logical specifying whether details on statistical methods should be printed.
`...`	Additional arguments (ignored).

Author(s)

Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de

Examples

data(Fleiss1993bin)
m1 <- metabin(d.asp, n.asp, d.plac, n.plac,
  data = Fleiss1993bin, studlab = study, sm = "RR", method = "I")
m1
metacum(m1)
metacum(m1, pooled = "random")
metacum(m1, pooled = "random", prediction = TRUE)

guido-s/meta documentation built on June 12, 2025, 11:48 p.m.