print.orbbound: Print method for objects of class orbbound

Description Usage Arguments Details Author(s) See Also Examples

View source: R/print.orbbound.R

Description

Print method for objects of class orbbound.

Usage

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## S3 method for class 'orbbound'
print(
  x,
  comb.fixed = x$x$comb.fixed,
  comb.random = x$x$comb.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"),
  ...
)

Arguments

x

An object of class orbbound.

comb.fixed

A logical indicating whether sensitivity analysis for fixed effect model should be printed.

comb.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.

...

Additional 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.

Author(s)

Guido Schwarzer sc@imbi.uni-freiburg.de

See Also

orbbound, forest.orbbound

Examples

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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)

metasens documentation built on Jan. 16, 2021, 5:38 p.m.