Learn R Programming

meta (version 3.0-1)

metacum: Cumulative meta-analysis

Description

Performs a cumulative meta-analysis.

Usage

metacum(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("metacum", "meta") with corresponding print, plot function. The object is a list containing the following components:
  • TE, seTEEstimated treatment effect and standard error of pooled estimate in cumulative meta-analyses.
  • lower, upperLower and upper confidence interval limits.
  • studlabStudy label describing addition of studies.
  • p.valueP-value for test of overall effect.
  • wSum of weights from fixed effect or random effects model.
  • I2Heterogeneity statistic I2.
  • tauSquare-root of between-study variance.
  • df.haknDegrees of freedom for test of treatment effect for Hartung-Knapp method (only if hakn=TRUE).
  • smSummary measure.
  • methodMethod used for pooling.
  • kNumber of studies combined in meta-analysis.
  • pooledAs defined above.
  • comb.fixedA logical indicating whether analysis is based on fixed effect model.
  • comb.randomA logical indicating whether analysis is based on random effects model.
  • TE.fixed, seTE.fixedValue is NA.
  • TE.random, seTE.randomValue is NA.
  • QValue is NA.
  • level.combThe level used to calculate confidence intervals for pooled estimates.
  • haknA logical indicating whether the method by Hartung and Knapp is used to adjust test statistics and confidence intervals.
  • method.tauA character string indicating which method is used to estimate the between-study variance $\tau^2$.
  • tau.presetPrespecified value for between-study variance $\tau^2$.
  • TE.tauOverall treatment effect used to estimate the between-study variance $\tau^2$.
  • n.harmonic.meanHarmonic mean of number of observations (for backtransformation of Freeman-Tukey Double arcsine transformation).
  • versionVersion of R package meta used to create object.

Details

A cumulative meta-analysis is performed. Studies are included sequentially as defined by 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

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

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

forest(metacum(meta1, pooled="random"))

Run the code above in your browser using DataLab