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, level=x$level, level.comb=x$level.comb)

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 "fixed" or "random", can be abbreviated.
sortvar An optional vector used to sort the individual studies (must be of same length as x$TE).
level The level used to calculate confidence intervals for individual studies.
level.comb The level used to calculate confidence intervals for pooled estimates.

Details

Performs a influence analysis; pooled 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 omission of studies.
p.value P-value for test of overall effect.
w Sum of weights from fixed effect or random effects model.
I2 Heterogeneity statistic I2.
tau Square-root of between-study variance.
sm Summary measure.
method Method used for pooling.
k Number of studies combined in meta-analysis.
pooled As defined above.
TE.fixed, seTE.fixed Value is NA.
TE.random, seTE.random Value is NA.
Q Value is NA.
tau Value is NA.
level The level used to calculate confidence intervals for individual studies.
level.comb The level used to calculate confidence intervals for pooled estimates.

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")

grid.newpage()
forest(metainf(meta1, pooled="random"), comb.random=TRUE)

[Package meta version 0.9-18 Index]