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Last data update: 2014.03.03

R: Print method for objects of class orbbound

print.orbbound

R Documentation

Print method for objects of class orbbound

Description

Print method for objects of class orbbound.

Usage

## S3 method for class 'orbbound'
print(x,
      comb.fixed=x$x$comb.fixed, comb.random=x$x$comb.random,
      header=TRUE, backtransf=x$backtransf,
      digits=max(3, .Options$digits - 3),
      ...)

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`.
`...`	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

Examples

data(Fleiss93, package="meta")

meta1 <- metabin(event.e, n.e, event.c, n.c,
                 data=Fleiss93, sm="OR")

orb1 <- orbbound(meta1, 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(meta1, k.suspect=1:5, left=TRUE)

orb1.missleft

meta2 <- metabin(event.e, n.e, event.c, n.c,
                 data=Fleiss93, sm="OR", method="Inverse")

orb2 <- orbbound(meta2, k.suspect=1:5)

print(orb2, digits=2)