metasens (version 1.5-3)

print.orbbound: Print method for objects of class orbbound

Description

Print method for objects of class orbbound.

Usage

# S3 method for 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.

Author

Guido Schwarzer

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.

See Also

orbbound, forest.orbbound

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)