metaprop {meta}R Documentation

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,
         freeman.tukey=TRUE,
         level = 0.95, level.comb = level,
         comb.fixed=TRUE, comb.random=TRUE,
         title="", complab="", outclab="",
         byvar, bylab, print.byvar=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.
freeman.tukey A logical indicating if the Freeman-Tukey Double arcsine transformation should be used; otherwise the arcsine transformation is used.
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.

Details

Fixed effect and random effects meta-analysis of single proportions using either the Freeman-Tukey Double arcsine transformation or the arcsine transformation of proportions to calculate an overall proportion.

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.

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,
freeman.tukey, level, level.comb,
comb.fixed, comb.random,
byvar, bylab, print.byvar As defined above.
TE, seTE Arcsine transformation of proportion and its standard error for individual studies.
w.fixed, w.random Weight of individual studies (in fixed and random effects model).
TE.fixed, seTE.fixed Estimated overall arcsine transformed proportion and standard error (fixed effect model).
TE.random, seTE.random Estimated overall arcsine transformed proportion and standard error (random effects model).
k Number of studies combined in meta-analysis.
Q Heterogeneity statistic Q.
tau Square-root of between-study variance (moment estimator of DerSimonian-Laird).
sm A character string: "proportion"
method A character string indicating method used for pooling: "Inverse"
call Function call.

Author(s)

Guido Schwarzer sc@imbi.uni-freiburg.de

References

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

Miller JJ (1978), The inverse of the Freeman-Tukey double arcsine transformation. The American Statistician, 32, 138.

See Also

metacont, metagen, print.meta

Examples

metaprop(0, 10)
metaprop(0, 10, freeman.tukey=FALSE)

[Package meta version 1.1-8 Index]