print.orbbound function

Print method for objects of class orbbound

Print method for objects of class orbbound.

## S3 method for class 'orbbound'
print(
  x,
  common = x$x$common,
  random = x$x$random,
  header = TRUE,
  backtransf = x$backtransf,
  digits = gs("digits"),
  digits.stat = gs("digits.stat"),
  digits.pval = max(gs("digits.pval"), 2),
  digits.tau2 = gs("digits.tau2"),
  scientific.pval = gs("scientific.pval"),
  big.mark = gs("big.mark"),
  warn.deprecated = gs("warn.deprecated"),
  ...
)

Arguments

• x: An object of class orbbound.
• common: A logical indicating whether sensitivity analysis for common effect model should be printed.
• random: A logical indicating whether sensitivity analysis for random effects model should be printed.
• header: A logical indicating whether information on meta-analysis should be printed at top of printout.
• 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 and results for sm="ZCOR" are printed as correlations rather than Fisher's z transformed correlations, for example.
• digits: Minimal number of significant digits, see print.default.
• digits.stat: Minimal number of significant digits for z- or t-value, 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, see print.default.
• 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.
• warn.deprecated: A logical indicating whether warnings should be printed if deprecated arguments are used.
• ...: Additional arguments to catch deprecated arguments.

Details

For summary measures 'RR', 'OR', and 'HR' column labeled maxbias contains the relative bias, e.g. a value of 1.10 means a maximum overestimation by 10 percent. If logscale=TRUE for these summary measures, maximum bias is instead printed as absolute bias.

Examples

data(Fleiss1993bin, package = "meta")

m1 <- metabin(d.asp, n.asp, d.plac, n.plac,
  data = Fleiss1993bin, sm = "OR")

orb1 <- orbbound(m1, k.suspect = 1:5)
print(orb1, digits = 2)

# Print log odds ratios instead of odds ratios
#
print(orb1, digits = 2, backtransf = FALSE)

# Assuming that studies are missing on the left side
#
orb1.missleft <- orbbound(m1, k.suspect = 1:5, left = TRUE)
orb1.missleft

m2 <- metabin(d.asp, n.asp, d.plac, n.plac,
  data = Fleiss1993bin, sm = "OR", method = "Inverse")

orb2 <- orbbound(m2, k.suspect = 1:5)
print(orb2, digits = 2)

See Also

orbbound, forest.orbbound

Author(s)

Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de