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Last data update: 2014.03.03

R: L'Abbe plot for meta-analysis with binary outcomes

labbe

R Documentation

L'Abbe plot for meta-analysis with binary outcomes

Description

Draw a L'Abb<c3><83><c2><a9> plot for meta-analysis with binary outcomes.

Usage

labbe(x, ...)

## Default S3 method:
labbe(x, y,
      xlim, ylim,
      xlab=NULL, ylab=NULL,
      TE.fixed, TE.random,
      comb.fixed=FALSE, comb.random=FALSE,
      axes=TRUE,
      pch=21, text=NULL, cex=1,
      col="black", bg="lightgray",
      lwd=1, lwd.fixed=lwd, lwd.random=lwd,
      lty.fixed=2, lty.random=9,
      sm=NULL, weight,
      studlab=FALSE, cex.studlab=0.8,
      ...)

## S3 method for class 'metabin'
labbe(x,
      xlim, ylim,
      xlab=NULL, ylab=NULL,
      TE.fixed=x$TE.fixed,
      TE.random=x$TE.random,
      comb.fixed=x$comb.fixed,
      comb.random=x$comb.random,
      axes=TRUE,
      pch=21, text=NULL, cex=1,
      col="black", bg="lightgray",
      lwd=1, lwd.fixed=lwd, lwd.random=lwd,
      lty.fixed=2, lty.random=9,
      sm=x$sm, weight,
      studlab=FALSE, cex.studlab=0.8, ...)

Arguments

`x`	The x coordinates of points of the L'Abb<c3><83><c2><a9> plot. Alternatively, an object of class `metabin`.
`y`	The y coordinates of the L'Abb<c3><83><c2><a9> plot, optional if `x` is an appropriate structure.
`xlim`	The x limits (min,max) of the plot.
`ylim`	The y limits (min,max) of the plot.
`xlab`	A label for the x-axis.
`ylab`	A label for the y-axis.
`TE.fixed`	A numeric or vector specifying combined fixed effect estimate(s).
`TE.random`	A numeric or vector specifying combined random effects estimate(s).
`comb.fixed`	A logical indicating whether the pooled fixed effect estimate should be plotted.
`comb.random`	A logical indicating whether the pooled random effects estimate should be plotted.
`axes`	A logical indicating whether axes should be drawn on the plot.
`pch`	The plotting symbol used for individual studies.
`text`	A character vector specifying the text to be used instead of plotting symbol.
`cex`	The magnification to be used for plotting symbol.
`col`	A vector with colour of plotting symbols.
`bg`	A vector with background colour of plotting symbols (only used if `pch` in `21:25`).
`lwd`	The line width.
`lwd.fixed`	The line width for fixed effect estimate (if `comb.fixed` is not `NULL` or `FALSE`).
`lwd.random`	The line width for random effects estimate (if `comb.random` is not `NULL` or `FALSE`).
`lty.fixed`	Line type (pooled fixed effect estimate).
`lty.random`	Line type (pooled random effects estimate).
`sm`	A character string indicating underlying summary measure, i.e., `"RD"`, `"RR"`, `"OR"`.
`weight`	Either a numeric vector specifying relative sizes of plotting symbols or a character string indicating which type of plotting symbols is to be used for individual treatment estimates. One of missing (see Details), `"same"`, `"fixed"`, or `"random"`, can be abbreviated. Plot symbols have the same size for all studies or represent study weights from fixed effect or random effects model.
`studlab`	A logical indicating whether study labels should be printed in the graph. A vector with study labels can also be provided (must be of same length as `x$event.e` then).
`cex.studlab`	Size of study labels.
`...`	Graphical arguments as in `par` may also be passed as arguments.

Details

A L'Abb<c3><83><c2><a9> plot is a scatter plot with the risk in the control group on the x-axis and the risk in the experimental group on the y-axis (L'Abb<c3><83><c2><a9> et al., 1987). It can be used to evaluate heterogeneity in meta-analysis. Furthermore, this plot can aid to choose a summary measure (odds ratio, risk ratio, risk difference) that will result in more consistent results.

If comb.fixed is TRUE, the pooled estimate of the fixed effect model is plotted as a line. If comb.random is TRUE, the pooled estimate of the random effects model is plotted as a line.

Information from object x is utilised if argument weight is missing. Weights from the fixed effect model are used (weight="fixed") if argument x$comb.fixed is TRUE; weights from the random effects model are used (weight="random") if argument x$comb.random is TRUE and x$comb.fixed is FALSE.

Author(s)

Guido Schwarzer sc@imbi.uni-freiburg.de

References

L'Abb<c3><83><c2><a9> KA, Detsky AS, O'Rourke K (1987), Meta-analysis in clinical research. Annals of Internal Medicine, 107, 224–233.

Examples

data(Olkin95)
meta1 <- metabin(event.e, n.e, event.c, n.c,
                 data=Olkin95,
                 studlab=paste(author, year),
                 sm="RR", method="I")


#
# L'Abbe plot
#
labbe(meta1)