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meta (version 1.6-1)

metaprop: Meta-analysis of single proportions

Description

Calculation of an overall proportion from studies reporting a single proportion.

Usage

metaprop(event, n, studlab,
         data = NULL, subset = NULL,
         sm="PFT", freeman.tukey,
         incr=0.5, allincr=FALSE, addincr=FALSE,
         level = 0.95, level.comb = level,
         comb.fixed=TRUE, comb.random=TRUE,
         title="", complab="", outclab="",
         byvar, bylab, print.byvar=TRUE,
         warn=TRUE)

Arguments

event
Number of events.
n
Number of observations.
studlab
An optional vector with study labels.
data
An optional data frame containing the study information, i.e., event and n.
subset
An optional vector specifying a subset of studies to be used.
sm
A character string indicating which summary measure ("PFT", "PAS", "PRAW", "PLN", or "PLOGIT") is to be used for pooling of studies, see Details.
freeman.tukey
Use of this argument is deprecated, please instead use argument sm, see Details.
incr
A numeric which is added to each cell frequency for studies with a zero cell count.
allincr
A logical indicating if incr is added to each cell frequency of all studies if at least one study has a zero cell count. If false, incr is added only to each cell frequency of studies with a zero cell count.
addincr
A logical indicating if incr is added to each cell frequency of all studies irrespective of zero cell counts.
level
The level used to calculate confidence intervals for individual studies.
level.comb
The level used to calculate confidence intervals for pooled estimates.
comb.fixed
A logical indicating whether a fixed effect meta-analysis should be conducted.
comb.random
A logical indicating whether a random effects meta-analysis should be conducted.
title
Title of meta-analysis / systematic review.
complab
Comparison label.
outclab
Outcome label.
byvar
An optional vector containing grouping information (must be of same length as event.e).
bylab
A character string with a label for the grouping variable.
print.byvar
A logical indicating whether the name of the grouping variable should be printed in front of the group labels.
warn
A logical indicating whether the addition of incr to studies with zero cell frequencies should result in a warning.

Value

  • An object of class c("metaprop", "meta") with corresponding print, summary, plot function. The object is a list containing the following components:
  • event, n, studlab,
  • sm, incr, allincr, addincr,
  • level, level.comb,As defined above.
  • comb.fixed, comb.random,
  • byvar, bylab, print.byvar, warn
  • TE, seTEEstimated (un)transformed proportion and its standard error for individual studies.
  • w.fixed, w.randomWeight of individual studies (in fixed and random effects model).
  • TE.fixed, seTE.fixedEstimated overall (un)transformed proportion and standard error (fixed effect model).
  • TE.random, seTE.randomEstimated overall (un)transformed proportion and standard error (random effects model).
  • kNumber of studies combined in meta-analysis.
  • QHeterogeneity statistic Q.
  • tauSquare-root of between-study variance (moment estimator of DerSimonian-Laird).
  • smA character string: "proportion"
  • methodA character string indicating method used for pooling: "Inverse"
  • callFunction call.
  • versionVersion of R package meta used to create object.

Details

Fixed effect and random effects meta-analysis of single proportions to calculate an overall proportion. The following transformations of proportions are implemented to calculate an overall proportion:

  • sm="PFT": Freeman-Tukey Double arcsine transformation
  • sm="PAS": Arcsine transformation
  • sm="PRAW": Raw, i.e. untransformed, proportions
  • sm="PLN": Log transformation
  • sm="PLOGIT": Logit transformation
In older versions of the R package meta (< 1.5.0), only the Freeman-Tukey Double arcsine transformation and the arcsine transformation were implemenated and an argument freeman.tukey could be used to distinguish between these two methods. The use of the argument freeman.tukey is deprecated and the argument will probably removed from the function metaprop in the future. At the moment, a correponding warning message is printed if the argument freeman.tukey is used. If the summary measure is equal to "PRAW", "PLN", or "PLOGIT", a continuity correction is applied if any studies has a zero cell count. By default, 0.5 is added to all cell frequencies of studies with a zero cell count (argument incr). Internally, both fixed effect and random effects models are calculated regardless of values choosen for arguments comb.fixed and comb.random. Accordingly, the estimate for the random effects model can be extracted from component TE.random of an object of class "meta" even if comb.random=FALSE. However, all functions in R package meta will adequately consider the values for comb.fixed and comb.random. E.g. function print.meta will not print results for the random effects model if comb.random=FALSE.

References

Edward JM et al. (2006), Adherence to antiretroviral therapy in sub-saharan Africa and North America - a meta-analysis. Journal of the American Medical Association, 296, 679--690.

Freeman MF & Tukey JW (1950), Transformations related to the angular and the square root. Annals of Mathematical Statistics, 21, 607--611.

See Also

metacont, metagen, print.meta

Examples

Run this code
metaprop(4:1, c(10, 20, 30, 40))
metaprop(4:1, c(10, 20, 30, 40), sm="PAS")
metaprop(4:1, c(10, 20, 30, 40), sm="PRAW")
metaprop(4:1, c(10, 20, 30, 40), sm="PLN")
metaprop(4:1, c(10, 20, 30, 40), sm="PLOGIT")

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