metainf {meta}R Documentation

Influence analysis in meta-analysis

Description

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

Usage

metainf(x, pooled="fixed", sortvar)

Arguments

x An object of class meta.
pooled A character string indicating whether a fixed or random effects model is used for pooling. Either "fixed" or "random", can be abbreviated.
sortvar An optional vector used to sort the individual studies (must be of same length as x$TE).

Details

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

Value

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

TE, seTE Estimated treatment effect and standard error of pooled estimate in influence analysis.
studlab Study label describing omision of studies.
p.value P-value for test of overall effect.
I2 Heterogeneity statistic I2.
sm Summary measure.
method Method used for pooling.
k Number of studies combined in meta-analysis.
pooled As defined above.

Author(s)

Guido Schwarzer sc@imbi.uni-freiburg.de

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", meth="I")
meta1

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

[Package meta version 0.8-2 Index]