Last data update: 2014.03.03

R: Forest plot for 'orbbound' object (bound for outcome...
forest.orbboundR Documentation

Forest plot for orbbound object (bound for outcome reporting bias)

Description

Draws a forest plot in the active graphics window (using grid graphics system).

Usage

## S3 method for class 'orbbound'
forest(x,
       comb.fixed=x$x$comb.fixed,
       comb.random=x$x$comb.random,
       text.fixed="FE model",
       text.random="RE model",
       smlab=NULL,
       leftcols=c("studlab", "maxbias"),
       leftlabs=c("Missing\nstudies", "Maximum\nbias"),
       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 plotted.

comb.random

A logical indicating whether sensitivity analysis for random effects model should be plotted.

text.fixed

A character string used in the plot to label subgroup with results for fixed effect model.

text.random

A character string used in the plot to label subgroup with results for random effects model.

smlab

A label printed at top of figure. If only results for either fixed effect or random effects model is plotted, text indicates which model was used.

leftcols

A character vector specifying (additional) columns to be plotted on the left side of the forest plot or a logical value (see forest.meta help page for details).

leftlabs

A character vector specifying labels for (additional) columns on left side of the forest plot (see forest.meta help page for details).

backtransf

A logical indicating whether results should be back transformed in printouts and plots. If backtransf=TRUE (default), results for sm="OR" are printed as odds ratios rather than log odds ratio, for example.

digits

Minimal number of significant digits, see print.default.

...

Additional arguments for forest.meta function.

Details

A forest plot, also called confidence interval plot, is drawn in the active graphics window.

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

For more information see help page of forest.meta function.

Author(s)

Guido Schwarzer sc@imbi.uni-freiburg.de

See Also

orbbound, print.orbbound

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)

forest(orb1, xlim=c(0.7, 1.5))

forest(orb1, backtransf=FALSE)

Results