meta (version 4.7-0)

metainf: Influence analysis in meta-analysis using leave-one-out method

Description

Performs an influence analysis. Pooled estimates are calculated omitting one study at a time.

Usage

metainf(x, pooled, sortvar)

Arguments

x

An object of class meta.

pooled

A character string indicating whether a fixed effect or random effects model is used for pooling. Either missing (see Details), "fixed" or "random", can be abbreviated.

sortvar

An optional vector used to sort the individual studies (must be of same length as x$TE).

Value

An object of class c("metainf", "meta") with corresponding print, plot function. The object is a list containing the following components:

Details

Performs a influence analysis; pooled estimates are calculated omitting one study at a time. Studies are sorted according to sortvar.

Information from object x is utilised if argument pooled is missing. A fixed effect model is assumed (pooled="fixed") if argument x$comb.fixed is TRUE; a random effects model is assumed (pooled="random") if argument x$comb.random is TRUE and x$comb.fixed is FALSE.

References

Cooper H & Hedges LV (1994), The Handbook of Research Synthesis. Newbury Park, CA: Russell Sage Foundation.

See Also

metabin, metacont, print.meta

Examples

data(Fleiss93)
meta1 <- metabin(event.e, n.e, event.c, n.c,
                 data=Fleiss93, studlab=study,
                 sm="RR", method="I")
meta1

metainf(meta1)
metainf(meta1, pooled="random")

forest(metainf(meta1))
forest(metainf(meta1), layout="revman5")
forest(metainf(meta1, pooled="random"))

metainf(meta1, sortvar=study)
metainf(meta1, sortvar=7:1)

meta2 <- update(meta1, title="Fleiss93 meta-analysis",
                backtransf=FALSE)
metainf(meta2)