metaprop {meta} | R Documentation |
Calculation of an overall proportion from studies reporting a single proportion.
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)
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. |
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
.
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. |
Guido Schwarzer sc@imbi.uni-freiburg.de
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.
metaprop(0, 10) metaprop(0, 10, freeman.tukey=FALSE)